The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index; none of the 108 sources its claims cite is checked for support yet.
The role of ChatGPT in higher education: Benefits, challenges, and future research directions
Open accessAbstract
This paper examines the potential benefits and challenges of using the generative AI model, ChatGPT, in higher education, in the backdrop of the constructivist theory of learning. This perspective-type study presents five benefits of ChatGPT: the potential to facilitate adaptive learning, provide personalised feedback, support research and data analysis, offer automated administrative services, and aid in developing innovative assessments. Additionally, the paper identifies five challenges: academic integrity concerns, reliability issues, inability to evaluate and reinforce graduate skill sets, limitations in assessing learning outcomes, and potential biases and falsified information in information processing. The paper argues that tertiary educators and students must exercise caution when using ChatGPT for academic purposes to ensure its ethical, reliable, and effective use. To achieve this, the paper proposes various propositions, such as prioritising education on the responsible and ethical use of ChatGPT, devising new assessment strategies, addressing bias and falsified information, and including AI literacy as part of graduate skills. By balancing the potential benefits and challenges, ChatGPT can enhance students’ learning experiences in higher education.
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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
“By engaging students in conversation and encouraging them to participate in the learning process, ChatGPT can scaffold their prior knowledge and experiences to help them construct new knowledge.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“ChatGPT's logical algorithms that build new knowledge based on existing knowledge align with this approach (Hein, 1991).”
What the sources say
- Not checked yetcites Hein, 1991
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA 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
“Incorporating ChatGPT into the assessment process can help students construct their knowledge actively.”
Strength:plain· not yet calibratedCausal:conditional· 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
“Additionally, ChatGPT's individualised feedback can support this process by building on their prior knowledge and experiences and providing personalised suggestions for further learning (Ippolito et al., 2022;Vygotsky, 1962).”
What the sources say
- Not checked yetcites Ippolito et al., 2022
- Not checked yetcites Vygotsky, 1962
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA 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
“Therefore, it is clear that ChatGPT, as an AI-powered tool, has the potential to facilitate a constructivism learning experience for students by enabling them to explore and experiment with ideas, ask questions, and receive immediate feedback that allows them to construct their own understanding of knowledge.”
Strength:boosted· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes? Checkable: unclear? Load-bearing: unclear✓ Based: passesA 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
“Specifically, the diagnostic feature of ChatGPT has the potential to serve as the MKO, providing diagnostic individualised (formative) feedback that helps students detect errors and guides them to improve successfully.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“By focusing on authentic assessments, in line with the constructivist theory (Wiggins, 1990), and allowing students to engage with topics they are genuinely interested in, ChatGPT can foster creativity and critical thinking skills (Rudolph et al., 2023a;Dennick, 2016).”
What the sources say
- Not checked yetcites Rudolph et al., 2023a
- Not checked yetcites Dennick, 2016
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Large Learning Models (LLMs) such as ChatGPT provide a scaffolded approach to learning that is consistent with the constructivist theory of learning (Schunk, 2012).”
What the sources say
- Not checked yetcites Schunk, 2012
Strength:plain· not yet calibratedCausal:correlational· 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
“In higher education, large language models like ChatGPT have the potential to greatly assist researchers and students with various tasks, such as efficiently and effectively completing research and writing tasks, including text generation, language translation, and responding to academic queries (Dwivedi et al., 2023;Kasneci et al., 2023;Lund et al., 2023).”
What the sources say
- Not checked yetcites Dwivedi et al., 2023
- Not checked yetcites Kasneci et al., 2023
- Not checked yetcites Lund et al., 2023
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Similar to tools like Leximancer (Smith & Humphreys, 2006), LLMs can also reliably conduct text analysis for sentiment analysis, pattern detection, and emotion detection (Dwivedi et al., 2023;Guo et al., 2023).”
What the sources say
- Not checked yetcites Dwivedi et al., 2023
- Not checked yetcites Guo et al., 2023
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- Probably not a substantial claim. 24
- It may state two separate claims as one. 34
None of the sources cited for this claim have been checked yet.
In the paper
“Furthermore, recent studies have shown that GPT-3 can stimulate curiosity, enhance students' questionasking skills, and generate programming code explanations (Abdelghani et al., 2022;MacNeil et al., 2022).”
What the sources say
- Not checked yetcites Abdelghani et al., 2022
- Not checked yetcites MacNeil et al., 2022
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
“It leverages deep learning and powerful algorithms to perform various language-related tasks, such as text generation, question answering, and translation, while comprehending the context to produce responses that resemble human language (Lund et al., 2023).”
What the sources say
- Not checked yetcites Lund et al., 2023
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 feedback can help students detect errors and guide them towards successful improvement, making ChatGPT an effective”
What the sources say
- Not checked yetcites Geng & Razali, 2020
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.
In the paper
“Generative Pre-trained Transformer (GPT), which was released by OpenAI (San Francisco, California) in 2018, is a type of Large Language Model (LLM) that aims to replicate human language processing capabilities (Cascella et al., 2023).”
What the sources say
- Not checked yetcites Cascella et al., 2023
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
“OpenAI released the ChatGPT-3.5language model family in November 2022 and, subsequently, the ChatGPT-4 family in March 2023 (Skavronskaya et al., 2023).”
What the sources say
- Not checked yetcites Skavronskaya et al., 2023
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
“Large language models have become a subject of interest in higher education due to their extensive range of applications, especially as there are now other similar options, such as Bing Chat, Bard, and Ernie (Rudolph et al., 2023b).”
What the sources say
- Not checked yetcites Rudolph et al., 2023b
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.
None of the sources cited for this claim have been checked yet.
In the paper
“This chatbot can engage in coherent and contextually relevant conversations by responding based on its comprehension of the language and context of the prompts (Gilson et al., 2023;Pavlik, 2023).”
What the sources say
- Not checked yetcites Gilson et al., 2023
- Not checked yetcites Pavlik, 2023
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.
None of the sources cited for this claim have been checked yet.
In the paper
“Academics acknowledge that ensuring the responsible integration of AI into education is critical (Fadel et al., 2019;Polak et al., 2022).”
What the sources say
- Not checked yetcites Fadel et al., 2019
- Not checked yetcites Polak et al., 2022
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
“Overall, incorporating ChatGPT in the learning process enables educators and students to benefit from personalised learning experiences, efficient and effective use of resources, and adaptive learning approaches that enhance the learning outcomes for all, consistent with the principles of constructivist theory (Bada & Olusegun, 2015;Stapleton & Stefaniak, 2019).”
What the sources say
- Not checked yetcites Bada & Olusegun, 2015
- Not checked yetcites Stapleton & Stefaniak, 2019
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
“Such LLMs can help conduct initial literature reviews, summarise research papers, generate draft versions of research papers (Rahman et al., 2023;Rudolph et al., 2023a), and even assist authors from non-English speaking backgrounds in overcoming language barriers (Gao et al., 2022).”
What the sources say
- Not checked yetcites Rahman et al., 2023
- Not checked yetcites Rudolph et al., 2023a
- Not checked yetcites Gao et al., 2022
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In the higher education sector, innovative assessment activities have gained a lot of attention because they assist students in getting involved with learning resources to think critically and have real learning experiences (Boud & Soler, 2016).”
What the sources say
- Not checked yetcites Boud & Soler, 2016
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
“Overall, ChatGPT's ability to provide individualised feedback based on the constructivist theory of learning has significant potential to enhance the learning experience and promote successful learning outcomes.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“ChatGPT's research and analysis support, though currently at a basic level, has the potential to fundamentally impact research and higher education, depending on the quality of the prompts (Dwivedi et al., 2023).”
What the sources say
- Not checked yetcites Dwivedi et al., 2023
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
“Nevertheless, users should exercise caution as ChatGPT may be prone to hallucinations (Alkaissi & McFarlane, 2023) and fabricate references and quotes (Sallam, 2023;Shen et al., 2023).”
What the sources say
- Not checked yetcites Alkaissi & McFarlane, 2023
- Not checked yetcites Sallam, 2023
- Not checked yetcites Shen et al., 2023
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 can act as a research assistant, answering users' questions based on the related literature it has learned (Lin, 2023), and analysing data (Goel, 2020).”
What the sources say
- Not checked yetcites Lin, 2023
- Not checked yetcites Goel, 2020
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
“Automated administrative support through ChatGPT can use data and analytics to provide timely and personalised non-academic feedback to students, such as notifications about upcoming deadlines, reminders about incomplete tasks, and progress reports on completed tasks, based on individual needs and preferences.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
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
“While further research is needed to fully understand the potential of ChatGPT in the tertiary education sector, the constructivist theory of learning supports the use of ChatGPT for automated administrative support as it can facilitate active participation in learning, provide personalised feedback to students, and create a supportive learning environment.”
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
“For academic staff, ChatGPT may be able to summarise and clarify student emails for administrative members to process more efficiently and generate personalised response templates for staff to address students' queries (Dwivedi et al., 2023).”
What the sources say
- Not checked yetcites Dwivedi et al., 2023
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
“As indicated earlier, ChatGPT can provide individualised feedback based on the students' prompts, making learning a more rewarding experience (Bridges, 2009;Weldy & Turnipseed, 2010).”
What the sources say
- Not checked yetcites Bridges, 2009
- Not checked yetcites Weldy & Turnipseed, 2010
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
“In contributing to a smart learning environment, ChatGPT can utilise big data and learning analytics to monitor student performance, predict success, and respond to students, including their emotional states, in real-time, resulting in personalised adaptive learning (PAL) that is consistent with constructivist theory (Peng et al., 2019;Rudolph et al., 2023a).”
What the sources say
- Not checked yetcites Peng et al., 2019
- Not checked yetcites Rudolph et al., 2023a
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.
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 integration of ChatGPT can assist in creating a supportive learning environment for students by providing timely and accurate information, reducing administrative burdens, and presenting a cost-saving measure for higher education institutions.”
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
“This provides a degree of efficiency and effectiveness, allowing for a synchronous interaction for students (Howlett, 2017;Okonkwo & Ade-Ibijola, 2021) and presenting a cost-savings measure for higher education institutions (Merelo et al., 2022).”
What the sources say
- Not checked yetcites Howlett, 2017
- Not checked yetcites Okonkwo & Ade-Ibijola, 2021
- Not checked yetcites Merelo et al., 2022
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
“It is obvious that the implementation of advanced LLMs like ChatGPT has the potential to revolutionise the tertiary education sector by automating some elements of administrative support and providing a degree of efficiency and effectiveness.”
Tests✓ Asserted: passes? Checkable: unclear✓ 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 conversational nature of LLMs such as ChatGPT facilitates the active construction of students' knowledge as they are continuously engaged with the task, encouraged to find patterns through a scaffolded approach (Stapleton & Stefaniak, 2019), and learn through experimentation and experience, which is an important part of knowledge generation (Rudolph et al., 2023a).”
What the sources say
- Not checked yetcites Stapleton & Stefaniak, 2019
- Not checked yetcites Rudolph et al., 2023a
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“AI applications like ChatGPT can provide accurate and efficient individualised feedback and automated grading, but users need to carefully check the outputs as they depend on the prompts (Rudolph et al., 2023a).”
What the sources say
- Not checked yetcites Rudolph et al., 2023a
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Furthermore, ChatGPT-generated text may contain factual biases due to biased training data, which could perpetuate misconceptions held by learners (Karim, 2023).”
What the sources say
- Not checked yetcites Karim, 2023
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“According to the constructivism learning theory, learning happens best when there are good interactions between the instructor and learner (Schuh, 2003).”
What the sources say
- Not checked yetcites Schuh, 2003
Tests✓ 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
“It is no secret that ChatGPT challenges ethical and equity practices in the higher education sector, as it potentially contradicts the constructivist theory of learning that emphasises active student participation and the construction of knowledge.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
In the paper
“Using ChatGPT as a tool for exploration and inquiry, students can actively construct their own knowledge and meaning, reducing the likelihood of academic dishonesty, such as plagiarism or cheating (Keith, 2022).”
What the sources say
- Not checked yetcites Keith, 2022
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 can generate initial ideas for assessment design, create multiple-choice or short-answer questions for academics, and produce drafts of case studies or other assessments for further editing (Bridgeman et al., 2023;Liu & Bridgeman, 2023).”
What the sources say
- Not checked yetcites Bridgeman et al., 2023
- Not checked yetcites Liu & Bridgeman, 2023
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.
In the paper
“Creating authentic learning experiences would require collaborative and consultative learning experiences (Muhajirah, 2020).”
What the sources say
- Not checked yetcites Muhajirah, 2020
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
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
“Passive shortcuts, potentially resulting in academic integrity breaches, hinder the active involvement of learners and hence impede learning.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
In the paper
“Another challenge of ChatGPT is the acceptance of feedback provided by AI rather than human instructors, which is against the constructivist theory of learning that emphasises interactions and social collaboration in learning (Hein, 1991).”
What the sources say
- Not checked yetcites Hein, 1991
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.
- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
In the paper
“However, ChatGPT could impact students' ability to actively construct their own knowledge, as some students may have greater access to ChatGPT than others, resulting in a knowledge gap between students (Hein, 1991).”
What the sources say
- Not checked yetcites Hein, 1991
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 misuse of ChatGPT to create content instantly as a shortcut goes against the philosophy of constructivism and any learning theory, for that matter.”
Strength:plain· 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.
- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
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
“Proposition 10 (P10): ChatGPT's ability to develop innovative and authentic student assessments depends on its focus on the work context and the students' existing knowledge.”
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: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
In the paper
“It can also be integrated into assessment tasks, where students critique generated text or essays and build high-quality articles based on generated drafts, provoking students' existing mental models and developing critical thinking skills (Dennick, 2016).”
What the sources say
- Not checked yetcites Dennick, 2016
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.
In the paper
“This technology can be integrated into innovative assessment activities, facilitating collaborative learning, scaffolding, real-time feedback, personalised learning, scalability, interactivity, and fostering knowledge creation and dissipation effectively (Kumar, 2021).”
What the sources say
- Not checked yetcites Kumar, 2021
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.
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
“Proposition 12 (P12): The integration of ChatGPT in innovative assessment activities can promote critical thinking, problemsolving, and collaboration skills among students.”
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: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
In the paper
“Furthermore, the learning environment includes social groups, instructional strategies, and a motivational atmosphere, to name a few (Zajda, 2021).”
What the sources say
- Not checked yetcites Zajda, 2021
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.
In the paper
“Although chatbot technology has shown positive influences on explicit reasoning, learning achievement, knowledge retention, and learning interest, studies have not yet demonstrated significant improvements in critical thinking, learning engagement, and motivation (Deng & Yu, 2023).”
What the sources say
- Not checked yetcites Deng & Yu, 2023
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.
In the paper
“Using ChatGPT to facilitate learning could lead to unethical and inequitable practices, destroying the spirit of learning (Hein, 1991).”
What the sources say
- Not checked yetcites Hein, 1991
Strength:hedged· not yet calibratedCausal:conditional· 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. It may state two separate claims as one.
In the paper
“However, the constructivist theory of learning suggests that learners actively develop knowledge for themselves through experiences and interactions with others rather than passively acquiring it through external tools like ChatGPT (Geary, 1995).”
What the sources say
- Not checked yetcites Geary, 1995
Strength:hedged· 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.
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
“Therefore, incorporating AI literacy as part of graduate skills could enhance graduates' employability and preparedness for the rapidly evolving job market.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
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
“Proposition 18 (P18): The use of ChatGPT in learning and assessment can impact the development of graduate skills, such as critical thinking and problem-solving.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Graduate skills, including critical thinking and problemsolving, communication, collaboration and teamwork, leadership, adaptability, digital literacy, global and cultural awareness, ethics, and professionalism, are essential for future professional and personal success (Abelha et al., 2020;Osmani et al., 2019;Oliver & de St Jorre, 2018; University of Adelaide, 2022; University of Sydney, 2022).”
What the sources say
- Not checked yetcites Abelha et al., 2020
- Not checked yetcites Osmani et al., 2019
- Not checked yetcites Oliver & de St Jorre, 2018
Strength:plain· 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.
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 could also make it challenging to evaluate the effectiveness of group learning activities and assess students' ability to work collaboratively.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“However, the use of ChatGPT for assessment is a passive process and does not allow for social interaction, hindering students' ability to construct meaning through reflection on their experiences (Biggs, 2014).”
What the sources say
- Not checked yetcites Biggs, 2014
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The use of ChatGPT presents an opportunity to incorporate artificial intelligence literacy as part of graduate skills, preparing graduates for effective workplace application of large language models that may replace some existing jobs and create new ones (Cradle, 2023).”
What the sources say
- Not checked yetcites Cradle, 2023
Tests✓ 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
“Therefore, the incorporation of these methods into the curriculum and assessment could promote the development of graduate skills beyond the use of ChatGPT alone.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
The paper relies on this without support.
LLMs like ChatGPT are ubiquitous in higher education.
“The ubiquity of LLMs like ChatGPT has prompted a reevaluation of assessment design, with a focus on fostering creativity, critical thinking, authenticity, practicality, and collaboration (Nieminen et al., 2022;Villarroel et al., 2018), aligning with the constructivist theory's emphasis on authentic and formative assessment (Wiggins, 1990;Black & Wiliam, 2009).”
The paper relies on this without support.
Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
“The paper presented five challenges and five benefits of ChatGPT for the higher education sector in the backdrop of the constructivism learning theory (Figure 1).”
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
“However, this shift toward individual learning raises important considerations for business education, where teamwork and interpersonal skills are crucial for professional success [15].”
From Scaffolding Creativity: Integrating Generative AI Tools and Real-World Experiences in Business Education (2025) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“The arrival of AI in education has potential to produce significant transformations in the teacher-student relationship [54].”
From New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023) · cites this paper as [54]
The cited source says what the claim attributes to it.
In the citing paper
“The diverse learning trajectories observed in these cases illustrate how AI tools can facilitate non-linear, adaptive learning processes by enabling students to dynamically integrate new information with prior knowledge and external resources [15, 16].”
From Scaffolding Creativity: Integrating Generative AI Tools and Real-World Experiences in Business Education (2025) · cites this paper as [15]
In the citing 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”
From A systematic literature review of empirical research on ChatGPT in education (2024) · cites this paper as [60]
In the citing paper
“Recent studies have brought to light the potential for students to exploit ChatGPT for academic dishonesty.”
From ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia (2024) · cites this paper as [6]
In the citing paper
“The primary concern lies in the potential compromise to academic integrity presented by AI essay-writing systems, particularly ChatGPT.”
From ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia (2024) · cites this paper as [6]
In the citing paper
“There is an apprehension that students might submit essays that do not authentically represent their work, thus contravening ethical standards within educational institutions [4,6].”
From ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia (2024) · cites this paper as [6]
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.
Fosnot citation year differs from the reference list
MinorThe text cites Fosnot as a 1996 work, while the Fosnot entry in the reference list is dated 2013.
“(Fosnot, 1996)”
“40. Fosnot, C. T. (2013). Constructivism: Theory, perspectives, and practice. Teachers College Press.”
Taber citation year differs from the reference list
MinorThe text cites Taber as a 2011 work, but the reference list dates the Taber entry to 2012.
“(Taber, 2011)”
“125. Taber, K. S. (2012). Constructivism as educational theory: Contingency in learning, and optimally guided instruction.”
White citation year differs from the reference list
MinorThe text cites White et al. as a 2014 work, while the corresponding reference entry gives 2016.
“(White et al., 2014;Kasneci et al., 2023)”
“139. White, P. J., Larson, I., Styles, K., Yuriev, E., Evans, D. R., Rangachari, P. K., Short, J. L., Exintaris, B., Malone, D. T., Davie, B., Eise, N., McNamara, K., & Naidu, S. (2016).”
Citations
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Cited by
Sorted by citations
Items 101–200 of 566
Al‐Mamary, Y. H., & Abubakar, A. A. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.101015 · Cited by 59
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Li, M., Enkhtur, A., Yamamoto, B. A., Cheng, F., & Chen, L. (2025) · Open Praxis · doi:10.55982/openpraxis.17.1.750 · Cited by 57
A Systematic Review of Responsible Artificial Intelligence Principles and Practice
Gunasekara, L., El-Haber, N., Nagpal, S., Moraliyage, H., Issadeen, Z., Manic, M., & Silva, D. D. (2025) · Applied System Innovation · doi:10.3390/asi8040097 · Cited by 58
Generative AI and the future of connectivist learning in higher education
Liang, E. S., & Bai, S. (2025) · Journal of Asian Public Policy · doi:10.1080/17516234.2024.2386085 · Cited by 34
Matthew, U. O., Bakare, K. M., Ebong, G. N., Ndukwu, C. C., & Nwanakwaugwu, A. C. (2023) · Journal of Trends in Computer Science and Smart Technology · doi:10.36548/jtcsst.2023.4.003 · Cited by 39
Looi, C., & Jia, F. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13369-z · Cited by 50
“Through sophisticated natural language processing and machine learning algorithms, these bots facilitate interactive dialogues with students, seeking to furnish personalized aid and resources aligned with specific learning objectives (Fauzi et al., 2023; Rasul et al., 2023).”
Artificial intelligence in higher education: Research notes from a longitudinal study
Leite, H. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124115 · Cited by 42
Younas, M. S., El‐Dakhs, D. A. S., & Noor, U. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1689205 · Cited by 58
Using ChatGPT to Encourage Critical AI Literacy Skills and for Assessment in Higher Education
Huang, C.-W., Coleman, M., Gachago, D., & Van Belle, J.-P. (2024) · Communications in Computer and Information Science · doi:10.1007/978-3-031-48536-7_8 · Cited by 41
Aithal, P. S., & Aithal, S. (2023) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0326 · Cited by 35
Ofem, U. J., ARIKPO, I. M., Ovat, S. V., Nwogwugwu, C. E., Anake, P. M., Udeh, M. I., & Diwa, O. B. (2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.1.9 · Cited by 41
Artificial intelligence and ChatGPT are fostering knowledge sharing, ethics, academia and libraries
Zeb, A., Rehman, F. U., Othayman, M. B., & Rabnawaz, M. (2024) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-03-2024-0046 · Cited by 44
Shen, Y., & Chen, L. (2026) · Computer Assisted Language Learning · doi:10.1080/09588221.2025.2479141 · Cited by 30
An argumentation experience regarding concepts of calculus with ChatGPT
Urhan, S., Gençaslan, O., & Dost, Ş. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2024.2308093 · Cited by 42
“…ChatGPT can be bene fi cial in lesson planning and material design processes, personalized content development based on student need, assignment and exam creation, as well as in the evaluation of these documents (Javaid et al., 2023; Kasneci et al., 2023; Rasul et al., 2023; Tlili et al., 2023).”
InfluentialAlfirević, N., Praničević, D. G., & Mabić, M. (2024) · Sustainability · doi:10.3390/su16124929 · Cited by 44
Al‐Mamary, Y. H., Alfalah, A. A., Shamsuddin, A., & Abubakar, A. A. (2024) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-04-2024-0179 · Cited by 49
Honig, C. D. F., Rios, S., & Desu, A. (2025) · Australasian journal of engineering education · doi:10.1080/22054952.2025.2467500 · Cited by 43
Wang, X., Niu, J., Fang, B., Han, G., & Ju-hou, H. (2025) · Teaching and Teacher Education · doi:10.1016/j.tate.2025.105091 · Cited by 44
Almisad, B., & Aleidan, A. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1632742 · Cited by 36
ChatGPT, the perfect virtual teaching assistant? Ideological bias in learner-chatbot interactions
Poucke, M. V. (2024) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2024.102871 · Cited by 46
Hassoulas, A., Powell, N., Roberts, L., Umla-Runge, K., Gray, L., & Coffey, M. J. (2023) · Journal of Applied Learning and Teaching · doi:10.37074/jalt.2023.6.2.13 · Cited by 28
Köhler, C., & Hartig, J. (2024) · Contemporary Educational Technology · doi:10.30935/cedtech/15144 · Cited by 88
Experimental evidence for the efficacy of generative AI in improving students' writing skills
Ironsi, C. S., & Solomon Ironsi, S. (2025) · Quality Assurance in Education · doi:10.1108/qae-04-2024-0065 · Cited by 28
Developing a conceptual framework for Artificial Intelligence (AI) literacy in higher education
Zhou, X., & Schofield, L. (2024) · Journal of Learning Development in Higher Education · doi:10.47408/jldhe.vi31.1354 · Cited by 32
“Educators’ hesitation to adopt AI in education is justified by concerns over plagiarism, privacy issues, ethical considerations, and issues of privacy (Fui-Hoon Nah et al., 2023; Lodge et al., 2023; O’Dea and O’Dea, 2023; Rasul et al., 2023).”
Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations
Alipour, S., Galeazzi, A., Sangiorgio, E., Avalle, M., Bojić, L., Cinelli, M., & Quattrociocchi, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-53124-x · Cited by 33
“Notably, this topic has been the focus of other research(34; 50).”
BackgroundVirtual Tutor, Digital Natives and AI: Analyzing the impact of ChatGPT on academia in Indonesia
Margono, H., Saud, M., & Falahat, M. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101069 · Cited by 26
Ngo, T. T. A., Vo, T. T. A., & Phan, M. T. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105789 · Cited by 32
A Systematic Literature Review of Empirical Research on ChatGPT in EducationPreprint
Albadarin, Y., Tukiainen, M., Saqr, M., & Pope, N. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4562771 · Cited by 26
Alfaisal, R., Salloum, S. A., & Salloum, A. (2024) · Studies in big data · doi:10.1007/978-3-031-52280-2_25 · Cited by 25
Shahzad, M. F., Xu, S., An, X., & Asif, M. (2025) · SAGE Open · doi:10.1177/21582440251368594 · Cited by 45
Emerging Dynamics of ChatGPT in Academia: A Scoping Review
Mahrishi, M., Abbas, A., Radovanović, D., & Hosseini, S. (2024) · Journal of University Teaching and Learning Practice · doi:10.53761/b182ws13 · Cited by 28
“Furthermore, ChatGPT can enhance student learning, improve clinical decision-making, facilitate collaboration and communication, and support personalised learning in nursing education (Rasul et al., 2023).”
BackgroundRadtke, A., & Rummel, N. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100350 · Cited by 44
Zulianti, H., Hastuti, H., Nurchurifiani, E., Hastomo, T., Maximilian, A., & Ajeng, G. D. (2024) · World Journal of English Language · doi:10.5430/wjel.v15n3p117 · Cited by 57
Gadekallu, T. R., Yenduri, G., Kaluri, R., Rajput, D. S., Lakshmanna, K., Fang, K., Chen, J., & Wang, W. W. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.2400 · Cited by 31
Lee, H., Huang, Y., & Wu, T. (2025) · European Journal of Education · doi:10.1111/ejed.70262 · Cited by 31
Teaching and testing in the era of text-generative AI: exploring the needs of students and teachers
Jochim, J., & Lenz-Kesekamp, V. (2024) · Information and Learning Sciences · doi:10.1108/ils-10-2023-0165 · Cited by 32
Rane, N. L., Choudhary, S., & Rane, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4645597 · Cited by 29
Rane, N. L., Choudhary, S., & Rane, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4681720 · Cited by 23
How do pre-service language teachers perceive generative AIs’ affordance?:A case of ChatGPT
Butler, Y. G., & Jiang, S. (2025) · System · doi:10.1016/j.system.2025.103606 · Cited by 34
Ishmuradova, I. I., Zhdanov, S. P., Kondrashev, S. V., Erokhova, N. S., Grishnova, E. E., & Volosova, N. Y. (2025) · Contemporary Educational Technology · doi:10.30935/cedtech/16207 · Cited by 34
Kangwa, D., Msafiri, M. M., & Fute, A. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70109 · Cited by 22
Molla, C., Mani, L., Bhuiyan, M. R. I., & Hossain, R. (2023) · MIGRATION LETTERS · doi:10.59670/ml.v20is9.4918 · Cited by 40
“Customer service representatives may now easily and quickly respond to customer inquiries in real time thanks to this technology (Rasul et al., 2023).”
BackgroundInfluentialBaskara, F. R., Puri, A. D., & Wardhani, A. R. (2023) · Indonesian Journal on Learning and Advanced Education (IJOLAE) · doi:10.23917/ijolae.v5i3.22966 · Cited by 22
“On the other hand, acknowledging the exist-ence of challenges is as vital as recognising the advantages (Rasul et al., 2023; Thu, Bang, & Cao, 2023; Whalen & Mouza, 2023).”
BackgroundKouam, A. W. F., & Muchowe, R. M. (2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.1.12 · Cited by 29
ChatGPT in early childhood STEM education: Can it be an innovative tool to overcome challenges?
Uğraş, H., & Uğraş, M. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12960-0 · Cited by 23
“These advantages can enrich students’ experiences in STEM fields in the classroom and enable them to learn more effectively (Rasul et al., 2023; Vasconcelos & Santos, 2023).”
Segbenya, M., Senyametor, F., Aheto, S.-P. K., Agormedah, E. K., Nkrumah, K., & Kaedabi‐Donkor, R. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2387943 · Cited by 30
“Research has demonstrated the application of Al in higher education as well as the effects of artificial intelligence on it (Chan & Hu, 2023; Crompton & Burke, 2023; Rasul et al., 2023; Salas-Pilco & Yang, 2022; Schiller International University [SIU], 2023; Segbenya et al., 2023).”
Koroleva, D. O., & Jogezai, N. A. (2024) · Information and Learning Sciences · doi:10.1108/ils-10-2023-0137 · Cited by 27
Faculty Perspectives on the Potential of RAG in Computer Science Higher Education
Dakshit, S. (2024) · Conference on Information Technology Education · doi:10.1145/3686852.3686864 · Cited by 21
Stracke, C. M., Chounta, I., Holmes, W., Tlili, A., & Bozkurt, A. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.38 · Cited by 28
ChatGPT-Generated and Student-Written Historical Narratives: A Comparative Analysis
Kindenberg, B. (2024) · Education Sciences · doi:10.3390/educsci14050530 · Cited by 28
Chen, S.-Y., Chen, W., & Lai, C. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13758-4 · Cited by 28
“Even when hands-on activities are included, students tend to remain at the level of rote procedural repetition, failing to engage in deeper understanding or adaptive strategy refinement (Abedi et al., 2023 ; Rasul et al., 2023 ).”
Promoting active learning with ChatGPT: A constructivist approach in Sri Lankan higher education
(2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.2.26 · Cited by 30
Leung, C. H. (2024) · Asian Journal of Contemporary Education · doi:10.55493/5052.v8i2.5101 · Cited by 28
The ethical security of large language models: A systematic review
Liu, F., Jiang, J., Lu, Y., Huang, Z., & Jiang, J. (2025) · Frontiers of Engineering Management · doi:10.1007/s42524-025-4082-6 · Cited by 23
“Moreover, instances of unintentional plagiarism can arise, posing significant challenges to the fairness and reliability of educational systems (Meyer et al., 2023; Rasul et al., 2023; Su, 2024).”
Effects of ChatGPT on students’ academic performance in Pakistan higher education classrooms
Ashraf, M. A., Alam, J., & Kalim, U. (2025) · Scientific Reports · doi:10.1038/s41598-025-92625-1 · Cited by 49
Company Analysis of OpenAI with Special Emphasis on its Future Strategies
Yashwi, & Aithal, P. S. (2025) · Poornaprajna International Journal of Emerging Technologies (PIJET) · doi:10.64818/pijet.3107.8486.0009 · Cited by 20
Sabaner, M. C., Karatepe, A. S., Mutibayraktaroglu, K. M., Yozgat, Z., Klefter, O. N., & Subhi, Y. (2024) · AJO International · doi:10.1016/j.ajoint.2024.100070 · Cited by 19
ChatGPT and generation 'Z': a study on the usage rates of ChatGPT
Babu, M. A., Yusuf, K. M., Eni, L. N., Jaman, S. M. S., & Sharmin, M. R. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101163 · Cited by 19
Mundo, M. A. D., Reyes, E. F. D., Gervacio, E. M., Manalo, R. B., Book, R. J., Chavez, J. V., Espartero, M. M., & Sayadi, D. S. (2024) · Environment and Social Psychology · doi:10.59429/esp.v9i8.3028 · Cited by 38
“However, some scrutinizes the logistical and ethical challenges such as the reliability of AI detectors that educators confront when attempting to assimilate this nascent technology into long-standing curricular structures [3] .”
BackgroundAkbar, M. N. (2025) · Journal of Further and Higher Education · doi:10.1080/0309877x.2025.2515135 · Cited by 18
Wang, N. C. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706599.3720283 · Cited by 18
Saifi, S., Tanveer, S., Arwab, M., Lal, D., & Mirza, N. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13282-x · Cited by 17
“ChatGPT has the capacity to aid students in the formulation of ideas for their evaluations, investigations, examinations, and composition assignments, thereby enhancing their academic endeavours (Rasul et al., 2023).”
Exploring Human-AI Collaboration in Higher Education
Mishra, M., Ara, A., & Mishra, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-7332-3.ch028 · Cited by 18
Xing, H., & Wen, G. J. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13505-9 · Cited by 25
Yang, Y. (2025) · Asia Pacific Journal of Education · doi:10.1080/02188791.2025.2505664 · Cited by 19
Designing a model of sustainable education based on artificial intelligence in higher education
Bagherimajd, K., & Khajedad, K. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100439 · Cited by 41
Reconsidering teacher assessment literacy in GenAI-enhanced environments: A scoping review
Cui, Y. H., Meng, Y., & Tang, L. (2025) · Teaching and Teacher Education · doi:10.1016/j.tate.2025.105163 · Cited by 24
Enhancing Classroom Learning: ChatGPT's Integration and Educational Challenges
AlAli, R. M., & Wardat, Y. (2024) · International Journal of Religion · doi:10.61707/znwnxd43 · Cited by 25
“Individualized feedback enhances students' comprehension of subjects, boosts motivation, and improves overall performance (Rudolph et al., 2023; Rasul, 2023).”
BackgroundMethodInfluentialThreading the GenAI needle: Unpacking the ups and downs of GenAI for higher education stakeholders
Neupane, A., Shahi, T. B., Cowling, M., & Tanna, D. (2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.2.4 · Cited by 17
Kangwa, D., Msafiri, M. M., & Fute, A. (2025) · AI and Ethics · doi:10.1007/s43681-025-00689-6 · Cited by 17
“Indeed, the framework underscores the role of self-regulation in maintaining the integrity of academic skills, ensuring that students are motivated and accountable in using GenAI tools [80, 97].”
InfluentialGao, M., Zhang, H., Dong, Y., & Li, J. (2025) · Educational Studies · doi:10.1080/03055698.2025.2483831 · Cited by 22
Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or BardPreprint
Rane, N. L., Choudhary, S., & Rane, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4681747 · Cited by 23
Ringo, D. S. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2475268 · Cited by 18
“Moreover, the effectiveness of tools like ChatGPT in supporting doctoral students extends beyond their functional benefits (Rasul et al., 2023).”
ChatGPT Evaluation: Can It Replace Grammarly and Quillbot Tools?
A. younis, H., Mohammed, O., Muthmainnah, Sahib, T. M., Akhtom, D., Hayder, I. M., Salisu, S., & Shahid, M. (2023) · British Journal of Applied Linguistics · doi:10.32996/bjal.2023.3.2.4 · Cited by 17
Awareness, perception, and adoption of ChatGPT in African HEIs: A multi-dimensional analysis
Ojubanire, O. A., Olaleye, S. A., Marhraoui, M. A., Kamihanda, M. W., Oke, O. I., & Ojubanire, O. A. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.100999 · Cited by 22
Student self-reflection as a tool for managing GenAI use in large class assessment
Combrinck, C., & Loubser, N. (2025) · Discover Education · doi:10.1007/s44217-025-00461-2 · Cited by 31
“Current suggestions for dealing with GenAI involve more personalised assessments and individualised feedback [26], such as oral exams and increased formative assessment [27].”
In ChatGPT they trust: a study of students' perceptions and misuse of ChatGPT in higher education
Yeung, L. K. C., Chow, D. P. L., Wong, P. H., & Lau, S. S. S. (2026) · AI and Ethics · doi:10.1007/s43681-025-00855-w · Cited by 16
The impact of LLM chatbots on learning outcomes in advanced driver assistance systems education
Murtaza, M., Cheng, C., Albahlal, B. M., Muslam, M. M. A., & Raza, M. S. (2025) · Scientific Reports · doi:10.1038/s41598-025-91330-3 · Cited by 23
Challenges and Limitations of Generative AI in Education
Gökoğlu, S. (2024) · Advances in Educational Technologies and Instructional Design · doi:10.4018/979-8-3693-1351-0.ch008 · Cited by 15
Shahsavar, Z., Kafipour, R., Khojasteh, L., & Pakdel, F. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1457744 · Cited by 32
Citation Accuracy Challenges Posed by Large Language Models
Zhang, M., & Zhao, T.-X. (2025) · JMIR Medical Education · doi:10.2196/72998 · Cited by 15
Loos, E. F., & Radicke, J. (2024) · AI and Ethics · doi:10.1007/s43681-024-00470-1 · Cited by 18
“Clearly, ChatGPT affects all contexts in which self-produced written contents are a compulsory part of exams (e.g. at schools and universities) and it enhances the risk of cheating (see for example, [7, 10, 18–20, 22, 26, 38, 39, 44–47] implicating legal consequences.”
Parada, F. J., Grasso‐Cladera, A., Rossi, A., Soto‐Icaza, P., Arenas‐Pérez, M., & Errázuriz, M. C. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16463 · Cited by 16
“…or Google ’ s Gemini are being used in supervised and unsupervised manners worldwide, presenting relevant opportunities and challenges to education (Rasul et al., 2023). stimulate multiple senses, enhancing sensory integration and motor skills (King & Parada, 2021; Schneider et al., 2007; Wan &…”
CHATGPT IN TEACHING PHYSICS HANDS-ON EXPERIMENTS IN PRIMARY SCHOOL
Kotsis, K. Τ. (2024) · European Journal of Education Studies · doi:10.46827/ejes.v11i10.5549 · Cited by 23
“One significant advancement in this domain is using AI-driven platforms like ChatGPT, which offer an interactive and adaptive learning experience (Rasul et al. , 2023).”
BackgroundMethodChen, X., Jia, B., Peng, X., Zhao, H., Yao, J., Wang, Z., & Zhu, S. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13471-2 · Cited by 14
MatplotAlt: A Python Library for Adding Alt Text to Matplotlib Figures in Computational Notebooks
Nylund, K., Mankoff, J. C., & Potluri, V. (2025) · Computer Graphics Forum · doi:10.1111/cgf.70119 · Cited by 14
“Descriptions for personal learning on well-documented problems, however, may benefit from the adaptability and extra context provided by VLMs [RNK ∗ 23].”
Arum, R., Leon, M. D. C., Li, X., & Lopes, J. (2025) · AERA Open · doi:10.1177/23328584251331956 · Cited by 24
Students Collaboratively Prompting ChatGPT
Perifanou, M. A., & Economides, A. A. (2025) · Computers · doi:10.3390/computers14050156 · Cited by 17
“It is an LLM based on generative pre-trained transformer (GPT) architecture which is designed for text generation and language understanding (e.g., [6]).”
Kaya, M. H., & Adıgüzel, T. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1652292 · Cited by 24
Riding the Generative AI Tsunami: Addressing the Teaching and Learning Crisis in Higher Education
Tan, S., Rudolph, J., & Tan, S. (2024) · Springer eBooks · doi:10.1007/978-3-031-54509-2_8 · Cited by 20
The Impact of ChatGPT for Enhancing Knowledge Management in University Libraries
Rahman, M. H., & Islam, M. N. (2024) · Journal of Web Librarianship · doi:10.1080/19322909.2024.2391907 · Cited by 19
“Exploring the impact of ChatGPT aligns with ongoing discourses on ethical AI use, ensuring that such technologies contribute positively and equitably within educational realms (Passmore & Tee, 2023; Rasul et al., 2023).”
Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0
Mekić, E., Jovanović, M. N., Kuk, K. V., Prlincevic, B. P., & Savić, A. (2024) · Computer Applications in Engineering Education · doi:10.1002/cae.22804 · Cited by 30
“Launched by OpenAI in 2018, ChatGPT was a variant of the large language model (LLM) designed to emulate human language processing capabilities [58].”
A descriptive phenomenological study of postgraduate nursing students' experiences with ChatGPT
Aslan, F. (2025) · Journal of Professional Nursing · doi:10.1016/j.profnurs.2025.05.004 · Cited by 15
Chatbots and Citations: An Experiment in Academic Writing with Generative AI
Donlon, E., & Tiernan, P. (2023) · Irish Journal of Technology Enhanced Learning · doi:10.22554/ijtel.v7i2.125 · Cited by 17
“As teachers, researchers, and scholars, we must continue to watch this space and endeavour to stay abreast of these developments as they unfold (Rasul et al., 2023).”
BackgroundChatGPT's Applications in Higher Education: Unmasking Opportunities and Challenges
Sarker, D. R., Eiaz-Ur-Rahman, A. F. M., Sakib, A. R., Terano, H. J. R., & Rahman, M. M. (2023) · Journal of Education Management and Development Studies · doi:10.52631/jemds.v3i4.250 · Cited by 13
MERZİFONLUOĞLU, A., & Güneş, H. (2025) · European Journal of Education · doi:10.1111/ejed.70053 · Cited by 23
Tbaishat, D., Amoudi, G., & Elfadel, M. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100421 · Cited by 14
Developing the AIlessphobia in education scale and examining its psychometric characteristics
Gezgin, D., & Kurtça, T. T. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-024-12984-6 · Cited by 14
Ruark, T. I., & Biazzin, C. (2025) · The International Journal of Management Education · doi:10.1016/j.ijme.2025.101232 · Cited by 15
Metadata
- Authors
- Rasul, T., Nair, S., Kalendra, D. R., Robin, M., Santini, F. D. O., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L.
- Affiliations
- Australian Institute of Business (AU)
- Universidade do Vale do Rio dos Sinos (BR)
- ORCID
- Venue
- Journal of Applied Learning & Teaching
- Publisher
- Open Access Publishing Association
- Published
- 2023-05-11
- Volume
- 6
- Issue
- 1
- ISSN
- 2591-801X (ISSN-L)
- OpenAlex
- W4376139682
- Semantic Scholar
- 9e7cd4ce1ed4b842e8a428c3774bd06ca3a5b769
- Cited by
- 561
- References
- 122
- Citations by year
- 2026: 69 · 2025: 235 · 2024: 209 · 2023: 47
- FWCI
- 131.92
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Applied Learning & Teaching (publishedVersion)
- 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 › Ethics and Social Impacts of AI
- Keywords
- ChatGPT, generative AI in education, higher education, constructivist learning theory, adaptive learning, personalized feedback, academic integrity, AI evaluation, AI literacy, algorithmic bias, ethical use of AI, graduate competencies
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 2026-10-05, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-05 (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 ›
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