The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index; none of the 84 sources its claims cite is checked for support yet.
A systematic literature review of empirical research on ChatGPT in education
Open accessAbstract
Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in 2022 and before the 10th of April 2023—the date of conducting the search process. It carefully followed the essential steps outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, as well as Okoli’s (Okoli in Commun Assoc Inf Syst, 2015) steps for conducting a rigorous and transparent systematic review. In this review, we aimed to explore how students and teachers have utilized ChatGPT in various educational settings, as well as the primary findings of those studies. By employing Creswell’s (Creswell in Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook], Pearson Education, London, 2015) coding techniques for data extraction and interpretation, we sought to gain insight into their initial attempts at ChatGPT incorporation into education. This approach also enabled us to extract insights and considerations that can facilitate its effective and responsible use in future educational contexts. The results of this review show that learners have utilized ChatGPT as a virtual intelligent assistant, where it offered instant feedback, on-demand answers, and explanations of complex topics. Additionally, learners have used it to enhance their writing and language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar. Moreover, learners turned to it as an aiding tool to facilitate their directed and personalized learning by assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks. However, the results of specific studies (n = 3, 21.4%) show that overuse of ChatGPT may negatively impact innovative capacities and collaborative learning competencies among learners. Educators, on the other hand, have utilized ChatGPT to create lesson plans, generate quizzes, and provide additional resources, which helped them enhance their productivity and efficiency and promote different teaching methodologies. Despite these benefits, the majority of the reviewed studies recommend the importance of conducting structured training, support, and clear guidelines for both learners and educators to mitigate the drawbacks. This includes developing critical evaluation skills to assess the accuracy and relevance of information provided by ChatGPT, as well as strategies for integrating human interaction and collaboration into learning activities that involve AI tools. Furthermore, they also recommend ongoing research and proactive dialogue with policymakers, stakeholders, and educational practitioners to refine and enhance the use of AI in learning environments. This review could serve as an insightful resource for practitioners who seek to integrate ChatGPT into education and stimulate further research in the field.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This systematic review synthesizes 14 empirical studies published in 2022 and up to 10 April 2023 on how students and teachers initially used ChatGPT in education, finding it served as a virtual assistant, writing aid, and teaching productivity tool, while raising concerns about accuracy, academic integrity, and overuse harming collaboration and innovation. The authors call for structured training, clear guidelines, and redesigned assessment.
Key findings
- Learners used ChatGPT as a virtual intelligent assistant (9 studies) for on-demand answers, immediate feedback, and learning resources; as a writing and language proficiency assistant (6 studies) for generating ideas, composing essays, summarizing, translating, paraphrasing, and grammar checking; as a resource for self-directed and personalized learning (5 studies); and as a tool for enhancing competencies and academic success (6 and 7 studies respectively).
- Teachers used ChatGPT to create lesson plans, generate quizzes, and provide additional resources, enhancing productivity and efficiency and enabling new teaching methodologies (5 studies).
- Negative effects: results of specific studies (n = 3, 21.4%) show overuse of ChatGPT may negatively impact innovative capacities and collaborative learning competencies among learners; one study [S5] reported students suggesting it may harm collaborative learning.
- Most reviewed studies recommend structured training, support, and clear guidelines for learners and educators, including critical evaluation skills and strategies for integrating human interaction into AI-mediated learning.
Methods
- Systematic literature review following PRISMA 2020 and Okoli's (2015) steps, with quality appraisal using Fink's standards (two articles excluded for insufficient methodological detail).
- Search of Dimensions.ai, Scopus, Web of Science, ERIC, and Lens.org using ("ChatGPT" AND "Education"), conducted 3–10 April 2023, yielding 276 articles; after duplicate removal 135 unique articles, then 26 after inclusion/exclusion screening, and 14 eligible for analysis after excluding studies solely testing ChatGPT capabilities.
- Data extraction and interpretation used Creswell's (2015) open, axial, and selective coding techniques; extracted data covered authors, titles, years, educational levels, methodologies, sample sizes, participants, aims, data sources, and analysis methods.
Limitations
- Stated: the limited number of reviewed studies, attributed to the novelty of the technology, lack of clear guidelines or best practices, and institutional or governmental policies affecting its educational use.
- Stated: the review covers the original ChatGPT based on GPT-3 or GPT-3.5, so studies using GPT-4 may yield different findings; follow-up systematic reviews and long-term studies are needed.
- Evident from the text: the search window closed on 10 April 2023, only months after ChatGPT's November 2022 launch; nine of the reviewed studies had samples of fewer than 50 participants, and most were conducted in higher education institutions (11 of 14), limiting generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 84 cited sources checked · 0 supported · 0 flagged
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority of the reviewed studies, 11 studies, were conducted in higher education institutions [S1]-[S10] and [S13].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, learners have used it to enhance their writing and language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Four study populations were included: university students, university teachers, university teachers and students, and elementary school teachers.”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“However, the results of specific studies (n = 3, 21.4%) show that overuse of ChatGPT may negatively impact innovative capacities and collaborative learning competencies among learners.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority of the studies, 10 in total, [S1]-[S3], [S5]-[S9], [S11], and [S14], primarily focused on participants from single countries such as Pakistan, the United Arab Emirates, China, Indonesia, Poland, Saudi Arabia, South Korea, Spain, Tajikistan, and the United States.”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Articles that met any one of the exclusion criteria were eliminated, resulting in 26 articles.”
§ 2 Methodology > 2.4 Literature search
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Ultimately, two articles were excluded for failing to meet Fink’s criteria, particularly in providing sufficient detail on methodology, results, conclusions, strengths, or limitations.”
§ 2 Methodology > 2.5 Quality appraisal
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nine studies demonstrated that ChatGPT has been utilized by students as an intelligent assistant to enhance and support their learning.”
§ 3 Results > 4.1 Virtual intelligent assistant
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Students employed it for various purposes, such as answering on-demand questions [S2]-[S5], [S8], [S10], and [S12]”
§ 3 Results > 4.1 Virtual intelligent assistant
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Six of the reviewed studies highlighted that ChatGPT has been utilized by students as a valuable assistant tool to improve their academic writing skills and language proficiency.”
§ 3 Results > 4.2 Writing and language proficiency assistant
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- It may state two separate claims as one. 66
- Probably not a substantial claim. 36
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“One study focused on Social Science Education [S13]. One study focused on Early Education [S4]. One study focused on Journalism Education [S9]. Finally, three studies did not specify the field of education [S1], [S6], and [S7].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The results of this review show that learners have utilized ChatGPT as a virtual intelligent assistant, where it offered instant feedback, on-demand answers, and explanations of complex topics.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Furthermore, they also recommend ongoing research and proactive dialogue with policymakers, stakeholders, and educational practitioners to refine and enhance the use of AI in learning environments.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite these benefits, the majority of the reviewed studies recommend the importance of conducting structured training, support, and clear guidelines for both learners and educators to mitigate the drawbacks.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, learners turned to it as an aiding tool to facilitate their directed and personalized learning by assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“This includes developing critical evaluation skills to assess the accuracy and relevance of information provided by ChatGPT, as well as strategies for integrating human interaction and collaboration into learning activities that involve AI tools.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Two studies did not specify the educational level of the population [S12] and [S14], while one study focused on elementary education [S11].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“One study was published in 2022 [S1], while the remaining were published in 2023 [S2]-[S14].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“All studies were empirical studies and published in different journals focusing on Education and Technology.”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in 2022 and before the 10th of April 2023—the date of conducting the search process.”
- Also stated in: § 3.1 Part 1: descriptive analysis · plain
“The total number of the reviewed studies was 14.”
- Also stated in: § 2.4 Literature search · plain
“This resulted in 14 articles eligible for analysis.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Also stated in: § 3.1 Part 1: descriptive analysis · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Educators, on the other hand, have utilized ChatGPT to create lesson plans, generate quizzes, and provide additional resources, which helped them enhance their productivity and efficiency and promote different teaching methodologies.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Three studies focused on Arts and Humanities Education [S8], [S11], and [S14], specifically English Education. Two studies focused on Engineering Education, with one in Computer Engineering [S2] and the other in Construction Education [S3]. Two studies focused on Mathematics Education [S5] and [S12].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is worth mentioning that study [S4] adopted a mixed methods approach, including 10 participants for qualitative analysis and 110 participants for quantitative analysis.”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedn = 110Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Six studies involved university students [S2], [S3], [S5] and [S6]-[S8]. Three studies focused on university teachers [S1], [S4], and [S6], while one study specifically targeted elementary school teachers [S11]. Additionally, four studies included both university teachers and students [S10] and [12,13,14], and among them, study [S13] specifically included postgraduate students.”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, four studies, [S4], [S10], [S12], and [S13], involved participants from multiple countries, including China and the United States [S4], China, the United Kingdom, and the United States [S10], the United Arab Emirates, Oman, Saudi Arabia, and Jordan [S12], Turkey, Sweden, Canada, and Australia [13].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedn = 4Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In terms of the sample size of the reviewed studies, nine studies included a small sample size of less than 50 participants [S1], [S3], [S6], [S8], and [S10]-[S13]. Three studies had 50–100 participants [S2], [S9], and [S14]. Only one study had more than 100 participants [S7].”
§ 3 Results > 3.1 Part 1: descriptive analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The authors agreed to eliminate any empirical studies solely focused on checking ChatGPT capabilities, as these studies do not guide us in addressing the research questions and achieving the study's objectives. This resulted in 14 articles eligible for analysis.”
§ 2 Methodology > 2.4 Literature search
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The search was conducted between the 3rd and 10th of April 2023, which resulted in 276 articles from all selected databases (111 articles from Dimensions.ai, 65 from Scopus, 28 from Web of Science, 14 from ERIC, and 58 from Lens.org).”
§ 2 Methodology > 2.4 Literature search
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Subsequently, the first author manually reviewed the duplicated articles ensured that they had the same content, and then removed them, leaving us with 135 unique articles.”
§ 2 Methodology > 2.4 Literature search
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“After a comprehensive analysis and capturing of the key information from the included studies, the data extraction and interpretation process yielded several themes. These themes have been categorized and are presented in Table 2.”
§ 2 Methodology > 2.6 Data extraction
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Learners have used it as a virtual intelligent assistant, benefiting from its ability to provide immediate feedback, on-demand answers, and easy access to educational resources.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“some students indicated the need for improvement, as they found that answers are not always accurate [S2], and that misleading information may have been provided or that it may not always align with their expectations [S6] and [S10]”
§ 3 Results > 4.1 Virtual intelligent assistant
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The review found that the potential misuse of ChatGPT might foster cheating, facilitate plagiarism, and threaten academic integrity.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It delivered age-appropriate conversations and tailored teaching based on a child's interests [S4]”
§ 3 Results > 4.3 Valuable resource for learning approaches
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“ChatGPT allowed participants to translate content into their home languages, making it more accessible and relevant to their context [S4]”
§ 3 Results > 4.2 Writing and language proficiency assistant
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“ChatGPT helped them in writing by making students active investigators rather than passive knowledge recipients and facilitated the development of their writing skills [S11] and [S14]”
§ 3 Results > 4.2 Writing and language proficiency assistant
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“it increased students' successful completion of important tasks in their studies [S7], particularly those involving average difficulty writing tasks [S8]”
§ 3 Results > 4.5 Supporting students' academic success
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“it found that frequent use of ChatGPT may result in a decrease in innovative capacities, collaborative skills and cognitive capacities, and students' motivation to attend classes, as well as could lead to reduced higher-order thinking skills among students [22, 29]”
What the sources say
- Not checked yetcites [22] Farrokhnia M, Banihashem SK, Noroozi O, Wals AEJ. A SWOT analysis of ChatGPT: implications for educational practice and research. Innov Educ Teach Int. 2023. https://doi.org/10.1080/14703297.2023.2195846. source
- Not checked yetcites [29] García-Peñalvo FJ. La percepción de la inteligencia artificial en contextos educativos tras el lanzamiento de ChatGPT: disrupción o pánico. Educ Knowl Soc. 2023;24: e31279. https://doi.org/10.14201/eks.31279. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“by finding information, generating ideas, translating texts, and providing alternative questions, ChatGPT aided students in deepening their understanding of various subjects [S6]”
§ 3 Results > 4.5 Supporting students' academic success
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“the review also found that teachers without the requisite skills to utilize ChatGPT realized that it did not contribute positively to their work and could potentially have adverse effects [37]”
What the sources say
- Not checked yetcites [37] Iqbal N, Ahmed H, Azhar KA. Exploring teachers’ attitudes towards using CHATGPT. Globa J Manag Adm Sci. 2022;3(4):97–111. https://doi.org/10.46568/gjmas.v3i4.163. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“it offered step-by-step guidance to grasp concepts at their own pace and enhance their understanding [S5]”
§ 3 Results > 4.3 Valuable resource for learning approaches
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This negativity stemmed from a lack of necessary skills to use it effectively [S1], a limited familiarity with it [S4], and occasional inaccuracies in the content provided by it [S10]”
§ 3 Results > 5.2 Improving productivity and efficiency
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“They also emphasized the importance of adopting new educational philosophies and approaches that can evolve with the introduction of ChatGPT into the classroom [S12]”
§ 3 Results > 5.3 Catalyzing new teaching methodologies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Five of the reviewed studies highlighted that educators found the necessity of redefining their teaching profession with the assistance of ChatGPT [S11], developing new effective learning strategies [S4], and adapting teaching strategies and methodologies to ensure the development of essential skills for future engineers [S5]”
§ 3 Results > 5.3 Catalyzing new teaching methodologies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It also proved valuable in constructing new knowledge [S6] and providing timely answers to students' questions in classrooms [S11]”
§ 3 Results > 5.1 Valuable resource for teaching
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“acted as a personalized learning assistant, adapted to their needs and pace, which assisted them in understanding mathematical concepts [S12]”
§ 3 Results > 4.3 Valuable resource for learning approaches
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Seven of the reviewed studies highlighted that students found ChatGPT to be beneficial for learning as it enhanced learning efficiency and improved the learning experience.”
§ 3 Results > 4.5 Supporting students' academic success
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“the accuracy of ChatGPT is dependent on several factors, including the quality and specificity of the user's input, the complexity of the question or topic, and the scope and relevance of its training data [S12]”
§ 3 Results > 4.1 Virtual intelligent assistant
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“students generally were confident in the accuracy of ChatGPT's responses, considering them relevant, reliable, and detailed [S3], [S4], [S5], and [S8]”
§ 3 Results > 4.1 Virtual intelligent assistant
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It also improved students' learning experiences in solving mathematics problems and developing abilities [S5] and [S12]”
§ 3 Results > 4.5 Supporting students' academic success
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“participants used it to check grammar or as a dictionary [S11]”
§ 3 Results > 4.2 Writing and language proficiency assistant
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“learners have used it to enhance their writing and language skills, engaging in practices such as generating ideas, composing essays, and performing tasks like summarizing, translating, paraphrasing texts, or checking grammar”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Many students felt that ChatGPT's answers were not always accurate and most of them believed that it requires good background knowledge to work with.”
§ 3 Results > 4.1 Virtual intelligent assistant
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It provided learning resources and guidance on diverse educational topics and created a supportive home learning environment [S2] and [S4]”
§ 3 Results > 4.3 Valuable resource for learning approaches
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“updating curricula to focus on improving human-specific features, such as emotional intelligence, creativity, and philosophical perspectives [S13], was found to be essential”
§ 3 Results > 5.3 Catalyzing new teaching methodologies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“other learners have utilized it in supporting and facilitating their directed and personalized learning on a broad range of educational topics, assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“ChatGPT allowed students to generate unique ideas and perspectives, leading to deeper analysis and reflection on their journalism writing [S9]”
§ 3 Results > 4.2 Writing and language proficiency assistant
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“ChatGPT enhanced teachers' efficiency by generating new ideas for activities and preplanning activities for their students [S4] and [S6], including interactive language game partners [S11]”
§ 3 Results > 5.1 Valuable resource for teaching
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“according to one study [S5], students suggested that using ChatGPT may negatively affect collaborative learning competencies between students”
§ 3 Results > 4.3 Valuable resource for learning approaches
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“assisted in studying geometry operations, thereby empowering them to explore geometry operations at their own pace [S12]”
§ 3 Results > 4.3 Valuable resource for learning approaches
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“two studies focused on mathematical education have shown the positive impact of ChatGPT on students' problem-solving abilities in unraveling problem-solving questions [S12] and enhancing the students' understanding of the problem-solving process [S5]”
§ 3 Results > 4.4 Enhancing students' competencies
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“participants' productivity and work efficiency have been significantly enhanced by using ChatGPT as it enabled them to allocate more time to other tasks and reduce their overall workloads [S6], [S10], [S11], [S13], and [S14]”
§ 3 Results > 5.2 Improving productivity and efficiency
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“it also enhanced their efficiency in solving mathematics problems and capabilities [S5] and [S12]”
§ 3 Results > 4.5 Supporting students' academic success
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Learners might not engage deeply with the material or consider multiple solutions to a problem.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The results revealed that overuse of ChatGPT could decrease innovative capacities and collaborative learning among learners.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“issues of inequity in access”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“This cutting-edge natural language processing (NLP) tool is widely recognized as one of today's most advanced LLMs-based chatbots [70]”
What the sources say
- Not checked yetcites [70] Schöbel S, Schmitt A, Benner D, Saqr M, Janson A, Leimeister JM. Charting the evolution and future of conversational agents: a research agenda along five waves and new frontiers. Inf Syst Front. 2023. https://doi.org/10.1007/s10796-023-10375-9. source
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Similarly, ChatGPT exhibited an impressive ability to formulate interpretable responses that were easily understood when compared with Google's feature snippet [34].”
What the sources say
- Not checked yetcites [34] Hopkins AM, Logan JM, Kichenadasse G, Sorich MJ. Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift. JNCI Cancer Spectr. 2023. https://doi.org/10.1093/jncics/pkad010. source
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The study revealed that ChatGPT achieved the highest score, surpassing Bing Chat and Bard [64].”
What the sources say
- Not checked yetcites [64] Rudolph J, Tan S, Tan S. War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.23. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“To ensure the rigorous execution of this step, our inclusion and exclusion criteria were determined based on the authors' experience and informed by previous successful systematic reviews [21].”
§ 2 Methodology > 2.3 Apply practical screen
What the sources say
- Not checked yetcites [21] Elmoazen R, Saqr M, Tedre M, Hirsto L. A systematic literature review of empirical research on epistemic network analysis in education. IEEE Access. 2022;10:17330–48. https://doi.org/10.1109/access.2022.3149812. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“This protocol serves to outline the study process in a rigorous and transparent manner, mitigating researcher bias in study selection and data extraction [88].”
§ 2 Methodology > 2.2 Draft the protocol
What the sources say
- Not checked yetcites [88] Xiao Y, Watson ME. Guidance on conducting a systematic literature review. J Plan Educ Res. 2017;39(1):93–112. https://doi.org/10.1177/0739456x17723971. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The synthesis stage is considered a transition from an author-centric to a concept-centric focus, enabling us to map all the provided information to achieve the most effective evaluation of the data [87].”
§ 2 Methodology > 2.7 Synthesize studies
What the sources say
- Not checked yetcites [87] Webster J, Watson RT. Analyzing the past to prepare for the future: writing a literature review. Manag Inf Syst Quart. 2002;26(2):3.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“For example, O’Leary [53] compared two chatbots, LaMDA and BlenderBot, with ChatGPT and revealed that ChatGPT outperformed both.”
What the sources say
- Not checked yetcites [53] O’Leary DE. An analysis of three chatbots: BlenderBot, ChatGPT and LaMDA. Int J Intell Syst Account, Financ Manag. 2023;30(1):41–54. https://doi.org/10.1002/isaf.1531. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“To improve efficiency, reduce variation among authors, and minimize errors in data analysis, the coding categories were constructed using Creswell's [15] coding techniques for data extraction and interpretation.”
§ 2 Methodology > 2.6 Data extraction
What the sources say
- Not checked yetcites [15] Creswell JW. Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook]. 4th ed. London: Pearson Education; 2015.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“ChatGPT is considered the fastest-growing technology in history: in just three months following its public launch, it amassed an estimated 120 million monthly active users [16] with an estimated 13 million daily queries [49], surpassing all other applications [64].”
What the sources say
- Not checked yetcites [16] Curry D. ChatGPT Revenue and Usage Statistics (2023)—Business of Apps. 2023. https://www.businessofapps.com/data/chatgpt-statistics/
- Not checked yetcites [49] Meyer JG, Urbanowicz RJ, Martin P, O’Connor K, Li R, Peng P, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. Biodata Min. 2023. https://doi.org/10.1186/s13040-023-00339-9. source
- Not checked yetcites [64] Rudolph J, Tan S, Tan S. War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.23. source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“foster students’ performance, engagement and motivation [14, 44, 58], and enhance teaching practices [17, 18, 64, 74].”
What the sources say
- Not checked yetcites [14] Crawford J, Cowling M, Allen K. Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). J Univ Teach Learn Pract. 2023. https://doi.org/10.53761/1.20.3.02. source
- Not checked yetcites [44] Lee H. The rise of ChatGPT: exploring its potential in medical education. Anat Sci Educ. 2023. https://doi.org/10.1002/ase.2270. source
- Not checked yetcites [58] Rahman MM, Watanobe Y (2023) ChatGPT for education and research: opportunities, threats, and strategies. Appl Sci 13(9):5783. https://doi.org/10.3390/app13095783 source
- Not checked yetcites [17] Day T. A preliminary investigation of fake peer-reviewed citations and references generated by ChatGPT. Prof Geogr. 2023. https://doi.org/10.1080/00330124.2023.2190373. source
- Not checked yetcites [18] De Castro CA. A Discussion about the Impact of ChatGPT in education: benefits and concerns. J Bus Theor Pract. 2023;11(2):p28. https://doi.org/10.22158/jbtp.v11n2p28. source
- Not checked yetcites [64] Rudolph J, Tan S, Tan S. War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.23. source
- Not checked yetcites [74] Su J, Yang W. Unlocking the power of ChatGPT: a framework for applying generative AI in education. ECNU Rev Educ. 2023. https://doi.org/10.1177/20965311231168423. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“To conduct this study, the authors followed the essential steps of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) and Okoli’s [54] steps for conducting a systematic review.”
What the sources say
- Not checked yetcites [54] Okoli C. A guide to conducting a standalone systematic literature review. Commun Assoc Inf Syst. 2015. https://doi.org/10.17705/1cais.03743. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These include the dissemination of false information and references [12, 23, 61, 85], biased reinforcement [47, 50], compromised academic integrity [18, 40, 66, 74], and the potential decline in students' skills [43, 61, 64, 74].”
What the sources say
- Not checked yetcites [12] Choi EPH, Lee JJ, Ho M, Kwok JYY, Lok KYW. Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education. Nurse Educ Today. 2023;125:105796. https://doi.org/10.1016/j.nedt.2023.105796. source
- Not checked yetcites [23] Fergus S, Botha M, Ostovar M. Evaluating academic answers generated using ChatGPT. J Chem Educ. 2023;100(4):1672–5. https://doi.org/10.1021/acs.jchemed.3c00087. source
- Not checked yetcites [61] Ratnam M, Sharm B, Tomer A. ChatGPT: educational artificial intelligence. Int J Adv Trends Comput Sci Eng. 2023;12(2):84–91. https://doi.org/10.30534/ijatcse/2023/091222023. source
- Not checked yetcites [85] Wagner MW, Ertl-Wagner BB. Accuracy of information and references using ChatGPT-3 for retrieval of clinical radiological information. Can Assoc Radiol J. 2023. https://doi.org/10.1177/08465371231171125. source
- Not checked yetcites [47] Lo CK. What is the impact of ChatGPT on education? A rapid review of the literature. Educ Sci. 2023;13(4):410. https://doi.org/10.3390/educsci13040410. source
- Not checked yetcites [50] Mhlanga D. Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. Soc Sci Res Netw. 2023. https://doi.org/10.2139/ssrn.4354422. source
- Not checked yetcites [18] De Castro CA. A Discussion about the Impact of ChatGPT in education: benefits and concerns. J Bus Theor Pract. 2023;11(2):p28. https://doi.org/10.22158/jbtp.v11n2p28. source
- Not checked yetcites [40] Khan RA, Jawaid M, Khan AR, Sajjad M. ChatGPT—Reshaping medical education and clinical management. Pak J Med Sci. 2023. https://doi.org/10.12669/pjms.39.2.7653. source
- Not checked yetcites [66] Sallam M, Salim NA, Barakat M, Al-Tammemi AB. ChatGPT applications in medical, dental, pharmacy, and public health education: a descriptive study highlighting the advantages and limitations. Narra J. 2023;3(1): e103. https://doi.org/10.52225/narra.v3i1.103. source
- Not checked yetcites [74] Su J, Yang W. Unlocking the power of ChatGPT: a framework for applying generative AI in education. ECNU Rev Educ. 2023. https://doi.org/10.1177/20965311231168423. source
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“As a result, ChatGPT has been banned in multiple countries, including Russia, China, Venezuela, Belarus, and Iran, as well as in various educational institutions in India, Italy, Western Australia, France, and the United States [52, 90].”
What the sources say
- Not checked yetcites [52] Nolan B. Here are the schools and colleges that have banned the use of ChatGPT over plagiarism and misinformation fears. Business Insider. 2023. https://www.businessinsider.com
- Not checked yetcites [90] Yu H. Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Front Psychol. 2023;14:1181712. https://doi.org/10.3389/fpsyg.2023.1181712. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“This indicates the necessity for further exploration to gain a deeper understanding of this technology and carefully evaluate its potential benefits, limitations, challenges, and threats to education [79].”
What the sources say
- Not checked yetcites [79] Tedre M, Kahila J, Vartiainen H. (2023). Exploration on how co-designing with AI facilitates critical evaluation of ethics of AI in craft education. In: Langran E, Christensen P, Sanson J (Eds). Proceedings of Society for Information Technology and Teacher Education International Conference. 2023. pp. 2289–2296.
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Clearly, the advent of chatbots, especially ChatGPT, has provoked significant controversy due to their potential impact on learning and teaching.”
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“The results revealed ChatGPT's superiority in Set (A) over Bard. Nevertheless, Bard's advantage emerged in Set (B) due to its capacity to access the internet directly and retrieve answers, a capability that ChatGPT does not possess [57].”
What the sources say
- Not checked yetcites [57] Plevris V, Papazafeiropoulos G, Rios AJ. Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard. arXiv (Cornell University). 2023. https://doi.org/10.48550/arxiv.2305.18618 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“emerging technological advancements have opened up novel opportunities and means to support teaching and learning practices, and enhance teachers’ productivity”
What the sources say
- Not checked yetcites Day [17] Day T. A preliminary investigation of fake peer-reviewed citations and references generated by ChatGPT. Prof Geogr. 2023. https://doi.org/10.1080/00330124.2023.2190373. source
- Not checked yetcites De Castro [18] De Castro CA. A Discussion about the Impact of ChatGPT in education: benefits and concerns. J Bus Theor Pract. 2023;11(2):p28. https://doi.org/10.22158/jbtp.v11n2p28. source
- Not checked yetcites Su and Yang [74] Su J, Yang W. Unlocking the power of ChatGPT: a framework for applying generative AI in education. ECNU Rev Educ. 2023. https://doi.org/10.1177/20965311231168423. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This personalization enhances the learning environment, leading to increased academic success.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“ChatGPT has the potential to offer personalized learning experiences and support an effective learning process by providing students with customized feedback and explanations tailored to their needs and abilities”
What the sources say
- Not checked yetcites [26] Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive. https://orcid.org/0000-0001-8707-5918 source
- Not checked yetcites [27] Firat M. What ChatGPT means for universities: perceptions of scholars and students. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.22. source
- Not checked yetcites [28] Fuchs K. Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse? Front Educ. 2023. https://doi.org/10.3389/feduc.2023.1166682. source
- Not checked yetcites [60] Rasul T, Nair S, Kalendra D, Robin M, de Oliveira Santini F, Ladeira WJ, Heathcote L. The role of ChatGPT in higher education: benefits, challenges, and future research directions. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.29. source
- Not checked yetcites [66] Sallam M, Salim NA, Barakat M, Al-Tammemi AB. ChatGPT applications in medical, dental, pharmacy, and public health education: a descriptive study highlighting the advantages and limitations. Narra J. 2023;3(1): e103. https://doi.org/10.52225/narra.v3i1.103. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This adoption of technology introduces new opportunities to support teaching and learning practices, enhancing teacher productivity.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Chatbots, including ChatGPT, play a crucial role in supporting student learning, enhancing their learning experiences, and facilitating diverse learning approaches [42, 43]”
What the sources say
- Not checked yetcites [42] Kooli C. Chatbots in education and research: a critical examination of ethical implications and solutions. Sustainability. 2023;15(7):5614. https://doi.org/10.3390/su15075614. source
- Not checked yetcites [43] Kuhail MA, Alturki N, Alramlawi S, Alhejori K. Interacting with educational chatbots: a systematic review. Educ Inf Technol. 2022;28(1):973–1018. https://doi.org/10.1007/s10639-022-11177-3. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Turnitin and other similar plagiarism detection tools, such as ZeroGPT, GPTZero, and Copyleaks, have since evolved, incorporating enhanced techniques to detect AI-generated text, despite the possibility of false positives, as noted in different studies that have found these tools still not yet fully ready to accurately and reliably identify AI-generated text [10, 51]”
What the sources say
- Not checked yetcites [10] Chaka C. Detecting AI content in responses generated by ChatGPT, YouChat, and Chatsonic: the case of five AI content detection tools. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.2.12. source
- Not checked yetcites [51] Neumann, M., Rauschenberger, M., & Schön, E. M. (2023). “We Need To Talk About ChatGPT”: The Future of AI and Higher Education. https://doi.org/10.1109/seeng59157.2023.00010 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“incorporating chatbots such as ChatGPT, into education presents challenges related to its accuracy and reliability due to its training on a large corpus of data, which may contain inaccuracies and the way users formulate or ask ChatGPT”
What the sources say
- Not checked yetcites [6] Baidoo-Anu D, Ansah L. Education in the Era of generative artificial intelligence (AI): understanding the potential benefits of ChatGPT in promoting teaching and learning. Soc Sci Res Netw. 2023. https://doi.org/10.2139/ssrn.4337484. source
- Not checked yetcites [30] Gilson A, Safranek CW, Huang T, Socrates V, Chi L, Taylor A, Chartash D. How does ChatGPT perform on the United States medical Licensing examination? The implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023;9: e45312. https://doi.org/10.2196/45312. source
- Not checked yetcites [35] Househ M, AlSaad R, Alhuwail D, Ahmed A, Healy MG, Latifi S, Sheikh J. Large Language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ. 2023;9: e48291. https://doi.org/10.2196/48291. source
- Not checked yetcites [40] Khan RA, Jawaid M, Khan AR, Sajjad M. ChatGPT—Reshaping medical education and clinical management. Pak J Med Sci. 2023. https://doi.org/10.12669/pjms.39.2.7653. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“this systematic review has highlighted the transformative potential of ChatGPT in education”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
None of the sources cited for this claim have been checked yet.
In the paper
“chatbots present a substantial challenge concerning maintaining academic integrity [20, 56] and copyright violations [83], which are significant concerns in education”
What the sources say
- Not checked yetcites [20] Eke DO. ChatGPT and the rise of generative AI: threat to academic integrity? J Responsib Technol. 2023;13:100060. https://doi.org/10.1016/j.jrt.2023.100060. source
- Not checked yetcites [56] Perkins M. Academic integrity considerations of AI large language models in the post-pandemic era: ChatGPT and beyond. J Univ Teach Learn Pract. 2023. https://doi.org/10.53761/1.20.02.07. source
- Not checked yetcites [83] Vartiainen H, Tedre M. Using artificial intelligence in craft education: crafting with text-to-image generative models. Digit Creat. 2023;34(1):1–21. https://doi.org/10.1080/14626268.2023.2174557. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Following this, inclusion/exclusion criteria were applied”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“chatbots, including ChatGPT, have demonstrated the potential to reshape and revolutionize education, creating new, novel opportunities for enhancing the learning process and outcomes [83], facilitating different learning approaches, and offering a range of pedagogical benefits [19, 43, 72]”
What the sources say
- Not checked yetcites [83] Vartiainen H, Tedre M. Using artificial intelligence in craft education: crafting with text-to-image generative models. Digit Creat. 2023;34(1):1–21. https://doi.org/10.1080/14626268.2023.2174557. source
- Not checked yetcites [19] Deng X, Yu Z. A meta-analysis and systematic review of the effect of Chatbot technology use in sustainable education. Sustainability. 2023;15(4):2940. https://doi.org/10.3390/su15042940. source
- Not checked yetcites [43] Kuhail MA, Alturki N, Alramlawi S, Alhejori K. Interacting with educational chatbots: a systematic review. Educ Inf Technol. 2022;28(1):973–1018. https://doi.org/10.1007/s10639-022-11177-3. source
- Not checked yetcites [72] Sonderegger S, Seufert S. Chatbot-mediated learning: conceptual framework for the design of Chatbot use cases in education. Gallen: Institute for Educational Management and Technologies, University of St; 2022. https://doi.org/10.5220/0010999200003182. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“a fundamental challenge with LLM-based chatbots, including ChatGPT, is the accuracy and quality of the provided information and responses, as they provide false information as truth—a phenomenon often referred to as “hallucination” [3, 49]”
What the sources say
- Not checked yetcites [3] Alkaissi H, McFarlane SI. Artificial hallucinations in ChatGPT: implications in scientific writing. Cureus. 2023. https://doi.org/10.7759/cureus.35179. source
- Not checked yetcites [49] Meyer JG, Urbanowicz RJ, Martin P, O’Connor K, Li R, Peng P, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. Biodata Min. 2023. https://doi.org/10.1186/s13040-023-00339-9. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“data extraction was performed using Creswell's [15] coding techniques to capture key information and identify common themes across the included studies”
What the sources say
- Not checked yetcites Creswell's [15] Creswell JW. Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook]. 4th ed. London: Pearson Education; 2015.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The findings from previous studies indicate the importance of rethinking, improving, and redesigning innovative assessment methods in the era of chatbots [14, 20, 64, 75]”
What the sources say
- Not checked yetcites [14] Crawford J, Cowling M, Allen K. Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). J Univ Teach Learn Pract. 2023. https://doi.org/10.53761/1.20.3.02. source
- Not checked yetcites [20] Eke DO. ChatGPT and the rise of generative AI: threat to academic integrity? J Responsib Technol. 2023;13:100060. https://doi.org/10.1016/j.jrt.2023.100060. source
- Not checked yetcites [64] Rudolph J, Tan S, Tan S. War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.23. source
- Not checked yetcites [75] Sullivan M, Kelly A, McLaughlan P. ChatGPT in higher education: Considerations for academic integrity and student learning. J ApplLearn Teach. 2023;6(1):1–10. https://doi.org/10.37074/jalt.2023.6.1.17. source
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This concern could lead to inequity of access to the benefits of chatbots, including ChatGPT, as individuals who lack the necessary expertise may not be able to harness their full potential, resulting in disparities in educational outcomes and opportunities.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“chatbots, including ChatGPT, have the potential to significantly impact students' thinking abilities, including retention, reasoning, analysis skills [19, 45], and foster innovation and creativity capabilities [83]”
What the sources say
- Not checked yetcites [19] Deng X, Yu Z. A meta-analysis and systematic review of the effect of Chatbot technology use in sustainable education. Sustainability. 2023;15(4):2940. https://doi.org/10.3390/su15042940. source
- Not checked yetcites [45] Li L, Subbareddy R, Raghavendra CG. AI intelligence Chatbot to improve students learning in the higher education platform. J Interconnect Netw. 2022. https://doi.org/10.1142/s0219265921430325. source
- Not checked yetcites [83] Vartiainen H, Tedre M. Using artificial intelligence in craft education: crafting with text-to-image generative models. Digit Creat. 2023;34(1):1–21. https://doi.org/10.1080/14626268.2023.2174557. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the utilization of the original version of ChatGPT, based on GPT-3 or GPT-3.5, implies that new studies utilizing the updated version, GPT-4 may lead to different findings”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: The original version of ChatGPT is based on GPT-3 or GPT-3.5.
The paper relies on this without support.
The existing literature lacks a systematic literature review of empirical studies.
“However, the existing literature lacks a systematic literature review of empirical studies.”
The paper relies on this without support.
ChatGPT is widely adopted by students and teachers for various educational purposes, often without a thorough understanding of responsible and effective use or a clear recognition of its potential impact on learning and teaching.
“Given the widespread adoption of ChatGPT by students and teachers for various educational purposes, often without a thorough understanding of responsible and effective use or a clear recognition of its potential impact on learning and teaching, the authors recognized the need for further exploration of ChatGPT's impact on education in this early stage.”
The paper relies on this without support.
The 14 selected studies are representative of empirical research on ChatGPT in education, so that the review's synthesized conclusions can be generalized to ChatGPT in education.
“From the analysis of 14 selected studies, the review revealed the dual-edged impact of ChatGPT in educational settings.”
The paper relies on this without support.
The findings reported by the reviewed studies are valid and reliable enough to be synthesized into review-level conclusions.
“The findings of the reviewed studies showed several ways of ChatGPT utilization in different learning and teaching practices as well as it provided insights and considerations that can facilitate its effective and responsible use in future educational contexts.”
The paper relies on this without support.
New technologies often face initial skepticism and cautious adoption.
“as new technologies often face initial skepticism and cautious adoption”
The paper relies on this without support.
There is a lack of clear guidelines or best practices for leveraging ChatGPT for educational purposes.
“the lack of clear guidelines or best practices for leveraging this technology for educational purposes”
The paper relies on this without support.
Institutional or governmental policies affect the utilization of ChatGPT in educational contexts.
“institutional or governmental policies affecting the utilization of this technology in educational contexts”
The paper relies on this without support.
The original version of ChatGPT is based on GPT-3 or GPT-3.5.
“the utilization of the original version of ChatGPT, based on GPT-3 or GPT-3.5”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The growing body of literature on ChatGPT in education reflects a wide range of classroom applications, methodological approaches, and disciplinary perspectives [34].”
From Fluency Illusion: A Review on Influence of ChatGPT in Classroom Settings (2026) · cites this paper as [34]
In the citing paper
“Similarly, another review by Albadarin et al. (2024) on ChatGPT affirmed thatChatGPT, improved students’ learning process, supported their learning approaches, enhanced their competencies, and contributed to their academic success (Albadarin et al., 2024).”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Albadarin et al., 2024
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Journalism and construction findings cite studies assigned to different fields
MinorThe competencies section labels S5 as journalism and S9 as construction education. The field breakdown instead assigns S5 to mathematics, S9 to journalism, and S3 to construction education.
“in journalism [S5] and construction education [S9].”
“Two studies focused on Engineering Education, with one in Computer Engineering [S2] and the other in Construction Education [S3]. Two studies focused on Mathematics Education [S5] and [S12]. One study focused on Social Science Education [S13]. One study focused on Early Education [S4]. One study focused on Journalism Education [S9].”
A student-writing finding cites a teacher-only study
MinorThe writing section attributes a finding about students' mastery to S11, whereas the population section says S11 specifically targeted elementary school teachers.
“students showed sufficient mastery in using ChatGPT for generating ideas, summarizing, paraphrasing texts, and completing writing essays [S8], [S11], and [S14].”
“one study specifically targeted elementary school teachers [S11].”
S6 appears in two separate study-population categories
MinorS6 is listed both among studies involving university students and among those focused on university teachers, rather than in the category for studies including both.
“Six studies involved university students [S2], [S3], [S5] and [S6]-[S8].”
“Three studies focused on university teachers [S1], [S4], and [S6]”
S4 is classified as qualitative despite a reported mixed-methods design
MinorThe methodology classification places S4 among qualitative studies, while the sample-size discussion explicitly calls it a mixed-methods study with qualitative and quantitative analyses.
“Seven studies adopted qualitative research methodology [S1], [S4], [S6], [S8], [S10], [S11], and [S12]”
“study [S4] adopted a mixed methods approach, including 10 participants for qualitative analysis and 110 participants for quantitative analysis.”
S4 also had more than 100 participants in one analysis
MinorThe text says S7 was the only study with more than 100 participants, but it reports 110 participants for S4's quantitative analysis alone.
“Only one study had more than 100 participants [S7].”
“study [S4] adopted a mixed methods approach, including 10 participants for qualitative analysis and 110 participants for quantitative analysis.”
The list of small-sample studies contains eight, not nine
MinorThe four individually named studies plus S10 through S13 make eight studies, although the text says nine.
“nine studies included a small sample size of less than 50 participants”
“[S1], [S3], [S6], [S8], and [S10]-[S13].”
S12 and S14 have both unspecified and university-level populations
MinorThe educational-level section says S12 and S14 did not specify their populations' educational level, but the population section identifies both as including university teachers and students.
“Two studies did not specify the educational level of the population [S12] and [S14]”
“four studies included both university teachers and students [S10] and [12,13,14]”
Citations
Cites
Analyzing the Past to Prepare for the Future: Writing a Literature Review
Webster, J., & Watson, R. T. (2002) · MIS Quarterly · doi:10.2307/4132319 · Cited by 7,449
BAİDOO-ANU, D., & OWUSU ANSAH, L. (2023) · Journal of AI · doi:10.61969/jai.1337500 · Cited by 3,939
Guidance on Conducting a Systematic Literature Review
Xiao, Y., & Watson, M. (2019) · Journal of Planning Education and Research · doi:10.1177/0739456x17723971 · Cited by 3,467
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2190148 · Cited by 3,087
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT
Cotton, D., Cotton, P., & Shipway, J. R. (2023) · doi:10.35542/osf.io/mrz8h · Cited by 3,079
Baidoo-Anu, D., & Owusu Ansah, L. (2023) · doi:10.2139/ssrn.4337484 · Cited by 3,004 · cited 1×
“This finding aligns with other findings [6, 30, 35, 40] which revealed that incorporating chatbots such as ChatGPT, into education presents challenges related to its accuracy and reliability due to its training on a large corpus of data, which may contain inaccuracies and the way users formulate or…”
Ray, P. P. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.04.003 · Cited by 2,463
Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
Lo, C. K. (2023) · Education Sciences · doi:10.3390/educsci13040410 · Cited by 2,024
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00237-x · Cited by 2,003 · cited 1×
“…support, and competency development for teachers to ensure that all of them can leverage chatbots, including ChatGPT, effectively and equitably in their educational practices [5, 28, 80], which could enhance accessibility and inclusivity, and potentially result in innovative outcomes [82, 83].”
Flagged first, then by citations
Research works printed but not linked: 7
- Ausat AMA, Massang B, Efendi M, Nofirman N, Riady Y. Can chat GPT replace the role of the teacher in the classroom: a fundamental analysis. J Educ. 2023;5(4):16100–6.
- Creswell JW. Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook]. 4th ed. London: Pearson Education; 2015.
- Hirsto L, Saqr M, López-Pernas S, Valtonen T. (2022). A systematic narrative review of learning analytics research in K-12 and schools. Proceedings. https://ceur-ws.org/Vol-3383/FLAIEC22_paper_9536.pdf
- Limna P. A Review of Artificial Intelligence (AI) in Education during the Digital Era. 2022. https://ssrn.com/abstract=4160798
- Saqr M, Matcha W, Uzir N, Jovanović J, Gašević D, López-Pernas S. Transferring effective learning strategies across learning contexts matters: a study in problem-based learning. Australas J Educ Technol. 2023;39(3):9.
- Szabo A. ChatGPT is a breakthrough in science and education but fails a test in sports and exercise psychology. Balt J Sport Health Sci. 2023;1(128):25–40. https://doi.org/10.33607/bjshs.v127i4.1233. · DOI
- Tedre M, Kahila J, Vartiainen H. (2023). Exploration on how co-designing with AI facilitates critical evaluation of ethics of AI in craft education. In: Langran E, Christensen P, Sanson J (Eds). Proceedings of Society for Information Technology and Teacher Education International Conference. 2023. pp. 2289–2296.
Cited by
Sorted by citations
Items 101–190 of 190
Self-regulated approaches to students’ generative AI use in higher education
Hakola, O. J., Kukkonen, J., & Valtonen, T. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101340 · Cited by 1
Work in Progress: Investigating ChatGPT for Grading Algebra Problems
Hahn, M. G. (2025) · IEEE World Engineering Education Conference (EDUNINE) · doi:10.1109/edunine62377.2025.10981322 · Cited by 1
Wang, J., Du, Y., & Jin, Q. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100676 · Cited by 1
Aruğaslan, E., & Çivril, H. (2025) · Sınırsız Eğitim ve Araştırma Dergisi · doi:10.29250/sead.1567698
Lee, A. (2025) · Asia-Pacific Journal of Futures in Education and Society · doi:10.58946/apjfes-4.1.p1 · Cited by 1
Intrinsically Motivating Instruction—Thomas Malone
Svendsen, B., Burner, T., & Røkenes, F. M. (2025) · Springer texts in education · doi:10.1007/978-3-031-81351-1_2
AI Policy as Writing Center Praxis
Zaleski, M., & Courtois, M. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-8059-8.ch002
Intent-Based vs. LLM-Based Chatbots in MOOCs: Do Diverse Students Experience Them Differently?
Han, S., Kim, C., & Na, H. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-99264-3_28
Lajane, H., allioui, W., Gouifrane, R., Arai, M., Idrissi, W. E. M. E., Lamiri, A., Abidi, O., Chemsi, G., & Radid, M. (2025) · doi:10.2196/preprints.82466
A case study on the effect of the Big Language Model on language learning for children with dyslexia
Zhang, H. (2025) · International Conference on Digital Society and Artificial Intelligence (DSAI) · doi:10.1145/3748825.3748864
Wong, A. K. L., & Chan, L. L. (2025) · Discover Education · doi:10.1007/s44217-025-00958-w
Mytra, P., Danial, D., & Qadrianti, L. (2025) · JTMT Journal Tadris Matematika · doi:10.47435/jtmt.v6i2.4116
Suwannatip, R., Sintanakul, K., & Srisomphan, J. (2025) · International Conference on Power, Energy and Innovations (ICPEI) · doi:10.1109/icpei66116.2025.11282791
Paita, M., & Romagnoli, S. (2025) · Italiano LinguaDue · doi:10.54103/2037-3597/30460
Mezzadri, M., & Tangorra, M. (2025) · Italiano LinguaDue · doi:10.54103/2037-3597/30458
Navigating Challenges and Seizing Opportunities in AI-Driven Assessment
Ahmad, M., & Delda, M. J. M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7057-6.ch002
Eyzaguirre, J. C. L., & Torrez, W. B. (2025) · Rev. Asoc. Odontol. Argent · doi:10.52979/raoa.1131252 · Cited by 4
Is Solving Better Than Evaluating GenAI Solutions?
Dickey, E., Mertzanidis, M., & Psomas, A. (2026) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3770761.3777361
The effects of goal-setting on learning during information seeking with generative AI
Urgo, K., Li, Y., Arguello, J., & Capra, R. (2026) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3786304.3788847
Hu, J., Wei, Q., Li, J., Lu, S., Zhuang, J., Xia, Y., He, M.-Y., Xian, W., & Chen, F. (2026) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000007479
Ovando-Bravo, L. P., Cuenca, G. K. C., Ulloa, N. V. C., & Vera, G. J. T. (2026) · Horizon Nexus Journal. · doi:10.70881/hnj/v4/n1/117 · Cited by 1
Random Knowledge Verification as a Scalable Assessment Strategy in AI Rich Higher EducationPreprint
Duc, T. M. (2026) · Research Square · doi:10.21203/rs.3.rs-9103013/v1
Al‐Romeedy, B. S., Hussein, H. S., & Emam, M. E. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-7102-3.ch001 · Cited by 1
Mallweger, M., Brünner, B., & Ebner, M. (2012) · Studies in computational intelligence · doi:10.1007/978-3-032-16153-6_7
ChatGPT in research and practice: Insights into applications, challenges, and future prospects
Tôn, N. T. H., VALLE, L., Latifah, K., Anwar, M. T., & Bhandari, R. (2026) · Multidisciplinary Reviews · doi:10.31893/multirev.2026524
Yang, Z., Chen, G. P., Chotia, V., Malik, P., Quacquarelli, B., & Cillo, V. (2026) · Journal of Knowledge Management · doi:10.1108/jkm-03-2026-0471
Artificial Intelligence in Fine Arts Education: A Systematic Literature Review
Yance, Z., Noor, H. M., & Sabri, M. F. (2026) · SAGE Open · doi:10.1177/21582440261447959
Pre-service english teachers’ tendency to integrate ChatGPT into exam routines: a metaphor analysis
Çepni, S. B., & Çetinkaya, Ş. E. (2026) · SN Social Sciences · doi:10.1007/s43545-026-01500-x
Profiling University Students’ Academic AI Use Through Correspondence Analysis Across DisciplinesPreprint
Maska, L., Kalamaras, D., & Vlachopanou, P. (2026) · Research Square · doi:10.21203/rs.3.rs-9515946/v1
Meta-Analysis in Multimodal Literacy Studies
Gupta, B. P., Bobir, N., Irisbaeva, K., Daniyarovna, E. D., Qayumov, B., Abdullaeva, S., Hikmat, K., & Qalandarova, B. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6986-0.ch008
Large language models in software development learning
Hernández, S. C., Cruz, M. P. T., Sánchez, J. M. E., Luna-Gómez, A. A., Orozco, A. M. P., & Medina, R. H. (2026) · Discover Education · doi:10.1007/s44217-026-01750-0
PromptMirror: Visualizing LLM Use to Support STEM Student Reflection
Lau, K. H. C., Terzimehić, N., & Kasneci, E. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812863
Lingling, W., Sun, S., & Liu, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1870870 · Cited by 2
Albataineh, J. (2026) · SN Social Sciences · doi:10.1007/s43545-026-01531-4
Santana, L., & Santos, G. N. D. (2026) · Revista de Ciência da Computação · doi:10.22481/recic.v8i1.19613
Agnoagentia: The Illusion of Agency in AI-Assisted Learning
Delikoura, I., Papadopoulos, P. M., & Hui, P. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29760-0_1
Partnering with GenAI to Drive Student-Centred Pedagogical Innovation in Computing Education
Trombino, G., Barlaskar, E., McGowan, A., & McDowell, A. (2026) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon67543.2026.11574329
A Bibliometric Study on the Use of ChatGPT in Education using Research Rabbit
Abu, M., & Moganathan, S. (2026) · ATTARBAWIY Malaysian Online Journal of Education · doi:10.53840/attarbawiy.v10i1.321
Kulmagambetova, Z., & М.Ж., Т. (2026) · Научный журнал "Вестник Актюбинского регионального университета имени К Жубанова" · doi:10.70239/arsu.2026.t84.n2.14
Andrienko, T., & Sayegh, G. (2026) · East European Journal of Psycholinguistics · doi:10.29038/eejpl.2026.13.1.and
Cuarto, P. M. (2026) · Research Square · doi:10.21203/rs.3.rs-10300970/v1
Persona-Conditioned LLM Interaction for Software Engineering Education (Extended Abstract)
Kassab, M., & Shrestha, S. G. (2026) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/3803437.3805775
The Effect of Generative AI–Supported Learning on Reflective Thinking
Asri, S., Hidayat, H., & Wu, T. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-32115-2_38
Fewer courses, longer degrees: multidimensional risk profiling of academic trajectory gaps
Paz, A. I. L., & Stambuk‐Castellano, M. (2026) · Higher Education Research & Development · doi:10.1080/07294360.2026.2694416
Udo, M.-A. A., Imafidon, F. I., & Godwin³, A. (2026) · Research Square · doi:10.21203/rs.3.rs-10443013/v1
Teachers’ adoption of GenAI: a model integrating ethics and creativity
Onbaşılı, Ü. İ., Batı, K., Yetişir, M. İ., & Doğan, C. D. (2026) · Educational Studies · doi:10.1080/03055698.2026.2710334
Wibowo, A., Narmaditya, B. S., Alkhudri, A. T., & Sahid, S. (2026) · Discover Education · doi:10.1007/s44217-026-02002-x
PEUMO: An AI-based writing assessment and support tool for engineering report writing in Spanish
Canales, C. C., & René Venegas, V. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101106
Hạnh, V. T. (2026) · Multidisciplinary Reviews · doi:10.31893/multirev.2027032
Koohsari, M. J., Loo, B. P. Y., Zhao, J., Li, J., Long, Y., Lu, Y., Oka, K., & Kaczynski, A. T. (2026) · Developments in the Built Environment · doi:10.1016/j.dibe.2026.101007
Ndhlovu, E., & Mokone, N. (2026) · Springer eBooks · doi:10.1007/978-3-032-24067-5_4
Toomey, R. G., & Cardenas, M. (2026) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--61176
The impact of artificial intelligence on cognitive skill development in future professionals
Izmagambetova, R., Agranovich, E., Боранбаева, А. Р., Aiman, T., Gulnar, A., & Ospanbekova, M. (2026) · International Journal of ADVANCED AND APPLIED SCIENCES · doi:10.21833/ijaas.2026.07.011
Kajan, K., Shi, W. Y., & Wanatowski, D. (2026) · Education Sciences · doi:10.3390/educsci16091358
Pradeep, R. M. M. (2026) · Research Square · doi:10.21203/rs.3.rs-10503738/v1
Inteligencia artificial y la transformación de la planificación docente para Educación Básica
Cepeda, L. A. V., Toalombo, P. V. C., Guato, A. R. T., & Cruz, V. L. C. D. L. (2026) · Revista Ciencia Innovadora · doi:10.64422/rci.v4n3.2026.255
Educator Perceptions of Human-AI Co-Creativity: A Mixed Methods Study
Jensen, W. (2026) · Digital Commons - DU (University of Denver) · doi:10.56902/etdcrp.2026.94
Goya, O. F. C. (2026) · Prometeo Conocimiento Científico · doi:10.55204/pcc.v6i1.e160
Zheng, Y.-C., Debs, L., & Besiktepe, D. (2026) · Construction Research Congress 2026 · doi:10.1061/9780784486993.023
Do large language models stimulate student motivation? A meta-analysis of experimental studies
Han, X., & Liu, M. (2026) · Educational Technology Research and Development · doi:10.1007/s11423-026-10687-y
Huang, Y., & Wang, L. (2026) · International Conference on Distance Education and Learning (ICDEL) · doi:10.1109/icdel70250.2026.11663584
Mendoza, O. A., Osores, B. V., Linares-Vizcarra, M. L. D. C., & Guaman, M. M. L. (2026) · Revista Simón Rodríguez · doi:10.62319/simonrodriguez.v.6i12.214
Humanos en la era del aprendizaje inteligente
Viteri, G. A. M., Patricia, M. M. K., Maribel, S. F. G., & Dayana, R. G. M. (2026) · Revista Multidisciplinar Ciencia y Descubrimiento · doi:10.63816/av5afr11
Nehru, R. S. S. (2026) · Nusantara Education Studies · doi:10.63208/21011-731
Chen, P., Lee, H., Huang, Y., & Wu, T. (2026) · Journal of Educational Computing Research · doi:10.1177/07356331261486324
Editorial: Generative artificial intelligence and writing instruction in K–12 and college education
Skar, G. B. U., Graham, S., & Jeffery, J. V. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1984450
ChatGPT in Higher Education: Conceptual Framework of Pedagogical Opportunities and Risks
Frough, E. M., Hassan, H., & Nathan, R. J. (2026) · Studies in big data · doi:10.1007/978-3-032-20412-7_19
Development and Implementation of an AI Tutor To Scaffold Problem-Solving in Introductory Chemistry
Wang, K. D., Arens, J. T., Yu, C., Smith, J., Bartels, H., Haub, M., Fung, F. M., Haber, N., Salehi, S., & Poehlmann, J. S. (2026) · Journal of Chemical Education · doi:10.1021/acs.jchemed.6c00039 · Cited by 1
Rocha, A., Ferreira, J. P., de Oliveira, P. C., Alves, M., & Sousa, A. J. (2026) · Computers · doi:10.3390/computers15100647
Agu, A. G., Obinna, E.-U. C., Etochkwu, O. G., Omotosho, T. D., Chiana, P. C. A., Onyeokoro, S. C., Njoku, P. O. (., Okpara, G. S., & Margaça, C. (2026) · Discover Education · doi:10.1007/s44217-026-02152-y
Reimagining Writing Pedagogy with ChatGPT: Expanding Pedagogical Possibilities and Learning Outcomes
Jeikner, A. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-39103-2_10
Inteligencia Artificial Aplicada a la Enseñanza de las Ciencias Exactas
Calle, G. M. R., Calle, J. L. V., & Sinchi, D. G. A. (2026) · Ciencia Interdisciplinaria Internacional · doi:10.70577/cieninter.v4i3.132
Generative AI and Cybersecurity Education, Training, and Awareness: A Systematic Mapping Study
Arpacı, İ., Khan, N. F., Qayyum, S., & Балоглу, М. (2026) · IEEE Access · doi:10.1109/access.2026.3738195
AI Tutor to Support Pre-Class Preparation in Flipped Classroom Methodologies
Frances-Torres, A., Francés-Víllora, J. V., Mjahad, A., Bataller‐Mompeán, M., & Rosado-Muñoz, A. (2026) · Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (TAEE) · doi:10.1109/taee68119.2026.11702168
Ayua, G. A., KWAGH, T. C., Terhemba, W. K., John Clement, A. B. A. H., OKANCHE, S., & OBIABO, I. O. (2026) · Federal University Gusau Faculty of Education Journal · doi:10.64348/zije.2026590
Balaji, K. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-1363-2.ch009
Aljarrah, R., Abdo, A., Abuishmais, I., Shahroury, F. R., & Jarrah, M. A. (2026) · IEEE Access · doi:10.1109/access.2026.3740808
Determinants of ChatGPT Usage and Individual Learning Impact among Generation Z Users in Tangerang
Aribowo, A., Hery, Widjaja, A. E., Lukas, S., Mitra, A. R., & Russell Da Vito, R. (2026) · International Conference on Technology Innovation and Its Applications (ICTIIA) · doi:10.1109/ictiia70925.2026.11717144
A Behavioural Assessment of Factors Shaping AI Prompting Adoption in Academic Settings
Gopalakrishna, V., Kappagantula, M., Thyadi, N. P., Venugopal, K., Terlapu, P. V., & Santhikumar, R. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-4664-7.ch002
Huang, Y.-C., & Li, C. (2026) · Journal of Educational Computing Research · doi:10.1177/07356331261494821
ChatGPT and Large Language Models in Language Teaching: SLR Pedagogical Uses, Risks, and Frameworks
Datu, Y. A. (2026) · Social Science and Humanities Journal · doi:10.18535/sshj.v10i09.2531
A Course-Specific AI Consultant at a Central Asian Technical University: A Two-Phase Empirical Study
Rasulova, N., Danaa, G., Anufriyeva, Y., Ziyodullaeva, G., & Marasulova, Z. (2026) · International Symposium on Computer Science and Educational Technology (ISCSET) · doi:10.1109/iscset70652.2026.11722929
生成式人工智能赋能商科学生循证能力培养的教学改革探索——以“商业模式”课程为例
Ning, B., 叶烨, & Ren, B. (2026) · 教育与教法 · doi:10.71411/jyyjx.2026.v1i8.1833
Thinking Beyond the Tool: Misuse of ChatGPT and the Future of Student Cognition
Khan, I. A. (2026) · Education & Self Development · doi:10.26907/esd.21.3.04
Exploring the Editing Quality of ChatGPT and Grammarly in EFL Writing: A Comparative Study
Huneety, A., Mashaqba, B. M., Asassfeh, S. M., Al‐Nofaie, H., & Al-Duneibat, B. (2026) · SAGE Open · doi:10.1177/21582440261499042
Tutorbot pilot study: learning support, feedback and assessment in a crisis intervention modulePreprint
Hermann, C., & Chanza, M. M. (2026) · Research Square · doi:10.21203/rs.3.rs-11441361/v1
Guo, W., & Ren, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1986129
Salmorbekova, R. B., Abdunazarova, Z. I., & Tentimishova, C. S. (2026) · Social naja politika i social noe partnerstvo (Social Policy and Social Partnership) · doi:10.33920/pol-01-2610-10
Cao, X., & Le, H. (2026) · International Conference on Intelligent Education and Computer Technology (IECT) · doi:10.1145/3845354.3845412
Metadata
- Authors
- Albadarin, Y., Saqr, M., Pope, N., & Tukiainen, M.
- Affiliations
- University of Eastern Finland (FI)
- Corresponding author
- Albadarin, Yazid
- Venue
- Discover Education
- Published
- 2024-05-26
- Volume
- 3
- Issue
- 1
- ISSN
- 2731-5525 (ISSN-L)
- OpenAlex
- W4399028114
- Semantic Scholar
- cd9e8c91a1262a02ec40ed650106b0d84e58ec36
- Cited by
- 191
- References
- 81
- Citations by year
- 2026: 98 · 2025: 73 · 2024: 19
- FWCI
- 11.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Discover Education (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- ChatGPT, generative AI in education, artificial intelligence in education, student use of AI, teacher use of AI, personalized learning, cooperative learning, critical evaluation skills, responsible AI use, overreliance on AI, lesson planning, human-AI collaboration, AI policy in education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review