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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- Interpretationreasoning§ The educational significance of ChatGPT and constructivist theory
ChatGPT can scaffold students' prior knowledge and experiences to help them construct new knowledge by engaging them in conversation and encouraging participation.
“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.”
Quote in the paperSubstantial claim - Interpretationcitation§ The educational significance of ChatGPT and constructivist theory
ChatGPT's logical algorithms that build new knowledge from existing knowledge align with adaptive learning as a constructivist concept.
“ChatGPT's logical algorithms that build new knowledge based on existing knowledge align with this approach (Hein, 1991).”
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- Interpretationreasoning§ The educational significance of ChatGPT and constructivist theory
Incorporating ChatGPT into assessment can help students actively construct knowledge.
“Incorporating ChatGPT into the assessment process can help students construct their knowledge actively.”
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ChatGPT's individualised feedback can support learning by building on prior knowledge and providing personalised suggestions for further learning.
“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).”
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- cites Vygotsky, 1962
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- Interpretationreasoning§ Constructivist theory of learning
ChatGPT, as an AI-powered tool, has the potential to facilitate a constructivist learning experience by enabling students to explore ideas, ask questions, and receive immediate feedback to construct their own understanding.
“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.”
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- Interpretationreasoning§ Individualised feedback
ChatGPT's diagnostic feature can serve as a More Knowledgeable Other by providing individualised formative feedback that helps students detect errors and improve.
“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.”
Quote in the paperSubstantial claim - Premisecitation§ Innovative assessment activities
When used for authentic assessments aligned with constructivist theory and student interests, ChatGPT can foster creativity and critical thinking skills.
“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).”
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- cites Dennick, 2016
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- Interpretationcitation§ Adaptive learning
LLMs such as ChatGPT provide a scaffolded approach to learning consistent with constructivist theory.
“Large Learning Models (LLMs) such as ChatGPT provide a scaffolded approach to learning that is consistent with the constructivist theory of learning (Schunk, 2012).”
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- Interpretationcitation§ Research, writing and data analytics support
Large language models like ChatGPT can greatly assist researchers and students with research and writing tasks, including text generation, language translation, and responding to academic queries.
“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).”
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- cites Kasneci et al., 2023
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- cites Lund et al., 2023
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- Interpretationcitation§ Research, writing and data analytics support
LLMs like ChatGPT can reliably conduct text analysis for sentiment analysis, pattern detection, and emotion detection, similar to tools like Leximancer.
“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).”
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- cites Guo et al., 2023
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- Interpretationcitation§ Individualised feedback
ChatGPT's individualised feedback has potential to reduce costs and time associated with human assessors, especially with large student numbers, because costs of calibrating and training systems would be offset.
“This has the potential to reduce costs and time associated with human assessors, especially in cases where there are large numbers of students, as the costs and time involved in calibrating and training the systems (supervised machine learning) would be offset (Zawacki-Richter et al., 2019).”
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- Interpretationcitation§ Adaptive learning
ChatGPT can achieve adaptive learning through a constructivist approach by building on existing information through appropriate prompts.
“ChatGPT can effectively achieve adaptive learning through a constructivism approach by building on existing information through appropriate prompts (Rudolph et al., 2023a).”
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- Premisecitation§ Innovative assessment activities
ChatGPT can develop assessment questions, lesson plans, and curricula in higher education.
“ChatGPT has been recognised for its ability to develop assessment questions, lesson plans, and curricula in higher education (Dwivedi et al., 2023;Mollick & Mollick, 2022).”
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- cites Mollick & Mollick, 2022
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- Interpretationreasoning§ Automated administrative support
ChatGPT may substantially benefit both students and staff in tertiary education.
“ChatGPT has the potential to provide significant benefits to the tertiary education sector for both students and academic staff.”
Quote in the paperNot a substantial claim - Interpretationcitation§ Automated administrative support
Automated administrative support may help students make sense of information as they create knowledge.
“Furthermore, the integration of automated administrative support can benefit students in their sensemaking process of knowledge creation (Tangney, 2014).”
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- Interpretationcitation§ Adaptive learning
When ChatGPT's API is added to a university's learning management system, educators can build personalised, active, student-centred learning experiences grounded in what students already know.
“Integrating ChatGPT API (i.e., Application Programming Interface) into an institution's learning management systems enables educators to create personalised learning experiences that are student-centred and active, based on the student's pre-existing knowledge (Chen et al., 2023).”
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- Interpretationreasoning§ Automated administrative support
ChatGPT integrated into the learning system via API may facilitate active participation by giving students opportunities to interact with the system and take ownership of administrative tasks.
“ChatGPT integrated into the learning system using ChatGPT API may facilitate active participation in learning by providing students with opportunities to interact with the system and take ownership of their administrative tasks.”
Quote in the paperNot a substantial claim - Interpretationcitation§ Research, writing and data analytics support
ChatGPT can also help with writing tasks and offer writing assistance.
“Additionally, it can serve as a writing assistant (Ippolito et al., 2022;Rudolph et al., 2023a) and provide writing support (Geng & Razali, 2020).”
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- cites Rudolph et al., 2023a
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- cites Geng & Razali, 2020
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- Premisecitation§ Automated administrative support
Prior research found that deploying chatbots and online chat systems is positively linked with enhancing student engagement in higher education institutions.
“Additionally, prior research has found that deploying chatbots and online chat systems is positively linked with enhancing students' engagement in higher education institutions (Abbas et al., 2022).”
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- Interpretationreasoning§ The educational significance of ChatGPT and constructivist theory
ChatGPT effectively supports constructivist learning.
“Thus, ChatGPT is an effective tool for facilitating constructivism learning.”
Quote in the paperSubstantial claim - Premisecitation§ Maintaining academic integrity
Detecting academic misconduct involving AI-generated text is difficult because AI-generated text detectors are probability-based and unreliable.
“Still, it is made easier and more tempting for students, and detecting such academic misconduct is difficult due to the probability-based and unreliable nature of AI-generated text detectors (Raschka, 2023).”
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- Premisecitation§ Evaluate graduate skill sets
Using ChatGPT for rapid and superficial learning may impact development of graduate skills such as critical thinking and problem-solving.
“Nonetheless, the use of ChatGPT and similar AI models may impact the development of certain graduate skills, such as critical thinking and problem-solving, if it is used for rapid and superficial learning (Seo et al., 2021).”
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- Interpretationcitation§ Potential bias and falsified information in information processing
OpenAI's announced plugins for ChatGPT to access latest information do not negate potential issues of bias and falsified information.
“While OpenAI has announced that the new version of ChatGPT will support plugins that allow it to access the latest information and data, these developments do not negate the potential issues discussed above associated with the biases and falsified information (OpenAI, 2023).”
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- Premisecitation§ Ethical and equity considerations
ChatGPT has the potential to democratise education and support diverse students' participation in higher education by providing personalised and accessible learning experiences.
“Despite the ethical and equity challenges, ChatGPT has the potential to democratise education and support diverse students' participation in higher education by providing personalised and accessible learning experiences (Popenici & Kerr, 2017;Pavlik, 2023).”
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- cites Pavlik, 2023
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- Premisecitation§ Potential bias and falsified information in information processing
Insufficient training of data sets can lead to biased models and outputs, reinforcing learners' misconceptions rather than helping them construct accurate knowledge.
“Moreover, insufficient training of data sets can lead to biased models and outputs, reinforcing misconceptions held by learners rather than helping them construct accurate knowledge (Lund & Wang, 2023;Dwivedi et al., 2023;Pritchard, 2017).”
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- cites Dwivedi et al., 2023
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- Premisecitation§ Maintaining academic integrity
Bans on ChatGPT due to inadequate detection methods may backfire and increase ChatGPT use through the Streisand effect.
“While some institutions are banning ChatGPT due to the inadequacy of current detection methods, such as Turnitin, such bans may have the opposite effect and increase the use of ChatGPT due to the Streisand effect (Lim et al., 2023).”
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- Interpretationreasoning§ Innovative assessment activities
Using ChatGPT in assessment tasks helps students develop skills for engaging with ChatGPT in future workplaces.
“This approach helps students develop important skills for engaging with ChatGPT in future workplaces.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Ethical and equity considerations
A learning environment solely aided by generative AI tools like ChatGPT would lack the conditions for good instructor-learner interaction and social learning.
“The above conditions would be missing in a learning environment solely aided by generative AI tools such as ChatGPT.”
Quote in the paperSubstantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
- Premisecitation§ Maintaining academic integrity
Maintaining academic integrity is a significant challenge when ChatGPT is used for writing academic assessments, dissertations, and papers.
“Maintaining academic integrity is a significant challenge when using ChatGPT as an AI platform for writing academic assessments, dissertations, and papers (Cotton et al., 2023;Sullivan et al., 2023).”
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- cites Sullivan et al., 2023
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- Premisecitation§ Evaluate graduate skill sets
ChatGPT and other LLMs are not designed to assess or evaluate graduate skill sets and requirements.
“ChatGPT and other LLMs are not designed to assess or evaluate graduate skill sets and requirements (Atlas, 2023).”
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- Premisecitation§ Ethical and equity considerations
Students with disabilities may require assistive technology devices such as text-to-speech or speech recognition tools to use ChatGPT effectively, raising equitable access concerns.
“In addition, students with disabilities may require assistive technology devices such as text-to-speech software or speech recognition tools to use ChatGPT effectively, which raises concerns about equitable access (Hemsley et al., 2023).”
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- Premisecitation§ Innovative assessment activities
Studies have not yet demonstrated significant improvements in critical thinking, learning engagement, and motivation from chatbot technology.
“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).”
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- Interpretationcitation§ Potential bias and falsified information in information processing
If learners interact primarily with ChatGPT, they may not engage in collaborative learning and discussion essential for critically evaluating information and constructing knowledge.
“If learners interact primarily with ChatGPT, they may not engage in collaborative learning and discussion, which is essential in constructivist theory to critically evaluate information and construct knowledge (Muhajirah, 2020;Zajda, 2021;Hein, 1991).”
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- cites Hein, 1991
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- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
- Premisecitation§ Innovative assessment activities
The ubiquity of LLMs like ChatGPT has prompted a reevaluation of assessment design focused on creativity, critical thinking, authenticity, practicality, and collaboration.
“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).”
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- cites Villarroel et al., 2018
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- Rests on an assumption: LLMs like ChatGPT are ubiquitous in higher education.
- Premisecitation§ Potential bias and falsified information in information processing
Large language model use in tertiary education presents challenges due to potential introduction of bias and falsified information in information processing.
“Large language model use, including ChatGPT, in tertiary education presents challenges due to the potential introduction of bias and falsified information in information processing (Chen et al., 2023;Hartmann et al., 2023).”
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- Premisecitation§ Maintaining academic integrity
The potential for unethical or ill-intentioned use of ChatGPT is a significant challenge for higher education institutions.
“The potential for unethical or ill-intentioned use of ChatGPT is a significant challenge for higher education institutions (Lim et al., 2023).”
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- Premisecitation§ Potential bias and falsified information in information processing
Falsified information and references generated by ChatGPT would potentially mislead students.
“The falsified information and references generated by ChatGPT would potentially mislead students (Hsu & Thompson, 2023).”
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- Premisecitation§ Ethical and equity considerations
Digital inequity can occur because access to technology and high-speed internet is unevenly distributed among students, potentially exacerbating existing educational inequities.
“Digital inequity can also occur as access to technology and high-speed internet is not evenly distributed among students, which could exacerbate existing inequities in the educational system (Vogels, 2021).”
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- Premisecitation§ Ethical and equity considerations
Copyright concerns can arise because ChatGPT may have trained on and provided similar answers to copyrighted content.
“Moreover, copyright concerns can arise as ChatGPT may have trained from and provided similar answers to content under copyright protection.”
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- Premisecitation§ Evaluate graduate skill sets
Appropriate use of ChatGPT as an assistance tool could facilitate development of some graduate skills.
“Alternatively, the appropriate use of ChatGPT as a tool of assistance could facilitate the development of some graduate skills (Dwivedi et al., 2023).”
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- Premisecitation§ Assessing students' learning outcomes
Students who rely on ChatGPT for answers may not engage in critical thinking and reflection, limiting their learning outcomes.
“Students who rely on ChatGPT for answers may not engage in critical thinking and reflection, limiting their learning outcomes (Firat, 2023).”
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- Interpretationcitation§ Assessing students' learning outcomes
This raises concerns about fairness and equity in assessment design regardless of students' backgrounds, abilities, or access to ChatGPT.
“This raises concerns about fairness and equity in assessment design, regardless of students' backgrounds, abilities, or access to ChatGPT (Tai et al., 2022;Hemsley et al., 2023;Lim et al., 2023;Vogels, 2021).”
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- Interpretationnone given§ Assessing students' learning outcomes
Students could easily copy and paste ChatGPT-generated responses without fully engaging with the learning material.
“Students could easily copy and paste responses generated by ChatGPT without fully engaging in the learning material.”
Quote in the paperSubstantial claim - Premisecitation§ Assessing students' learning outcomes
Ensuring authenticity of students' work is a challenge when using ChatGPT for assessment.
“Another challenge of using ChatGPT for assessment is ensuring the authenticity of students' work (Sambell et al., 2019).”
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- Premisecitation§ Assessing students' learning outcomes
There is a risk of missing key learning outcomes if assessment design focuses too much on making it AI-secure.
“However, there is a risk of missing key learning outcomes if the assessment design focuses too much on making it 'AI-secure' (Lupyan cited in Abramson, 2023).”
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- Premisecitation§ Assessing students' learning outcomes
Using ChatGPT in higher education presents a challenge in assessing higher-order skills such as critical thinking and problem-solving.
“Furthermore, using ChatGPT in higher education presents a challenge in assessing higher-order skills such as critical thinking and problem-solving (Liu et al., 2014).”
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- Interpretationcitation§ Assessing students' learning outcomes
The use of ChatGPT in higher education poses challenges for assessing student learning outcomes based on constructivist principles.
“The use of ChatGPT in higher education poses challenges for assessing student learning outcomes based on the principles of constructivist theory.”
Quote in the paperSubstantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
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Premisecitation§ IntroductionRecent studies indicate GPT-3 can stimulate curiosity, improve students' question-asking skills, and generate programming code explanations.
“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).”
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Premisecitation§ IntroductionGPT uses deep learning and algorithms to perform language tasks such as text generation, question answering, and translation while using context to produce human-like responses.
“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).”
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Interpretationcitation§ The educational significance of ChatGPT and constructivist theoryChatGPT's feedback can help students detect errors and guide them toward improvement, making it an effective More Knowledgeable Other in learning.
“This feedback can help students detect errors and guide them towards successful improvement, making ChatGPT an effective”
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Premisecitation§ IntroductionOpenAI introduced GPT in 2018 as an LLM designed to mimic human language processing.
“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).”
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Premisecitation§ IntroductionChatGPT-3.5 appeared in November 2022, and ChatGPT-4 followed in March 2023.
“OpenAI released the ChatGPT-3.5language model family in November 2022 and, subsequently, the ChatGPT-4 family in March 2023 (Skavronskaya et al., 2023).”
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Premisecitation§ IntroductionLarge language models have become of interest in higher education because of their wide range of applications.
“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).”
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Premisecitation§ IntroductionChatGPT can hold coherent, contextually relevant conversations by responding based on its understanding of the prompt's language and context.
“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).”
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Premisecitation§ IntroductionAcademics acknowledge that responsible AI integration into education is critical.
“Academics acknowledge that ensuring the responsible integration of AI into education is critical (Fadel et al., 2019;Polak et al., 2022).”
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Interpretationcitation§ Adaptive learningIncorporating ChatGPT in learning enables educators and students to benefit from personalised learning experiences, efficient resource use, and adaptive learning approaches that enhance learning outcomes, consistent with constructivist principles.
“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).”
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Interpretationcitation§ Research, writing and data analytics supportLLMs can help conduct initial literature reviews, summarise research papers, generate draft versions of research papers, and assist authors from non-English-speaking backgrounds with language barriers.
“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).”
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- cites Rudolph et al., 2023a
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Premisecitation§ Innovative assessment activitiesInnovative assessment activities in higher education help students engage with learning resources, think critically, and have authentic learning experiences.
“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).”
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Interpretationreasoning§ Individualised feedbackBecause ChatGPT can give individualised feedback grounded in constructivist learning theory, it may substantially improve learning experiences and help students succeed.
“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.”
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Interpretationcitation§ Research, writing and data analytics supportChatGPT's research and analysis support, though currently basic, has potential to fundamentally impact research and higher education, depending on prompt quality.
“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).”
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Interpretationcitation§ Research, writing and data analytics supportChatGPT may be prone to hallucinations and may fabricate references and quotes, so users should exercise caution.
“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).”
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Interpretationcitation§ Research, writing and data analytics supportChatGPT can act as a research assistant by answering users' questions based on related literature it has learned and by analysing data.
“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).”
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Interpretationreasoning§ Automated administrative supportAutomated administrative support through ChatGPT can use data and analytics to provide timely, personalised non-academic feedback to students, such as deadline notifications, task reminders, and progress reports.
“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.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ Automated administrative supportThe constructivist theory of learning supports using ChatGPT for automated administrative support because it can facilitate active participation, provide personalised feedback, and create a supportive learning environment.
“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.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ Automated administrative supportFor academic staff, ChatGPT may summarise and clarify student emails for administrative processing and generate personalised response templates for student queries.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dwivedi et al., 2023
Not checked in the free run.
May combine two claims.
Interpretationcitation§ Individualised feedbackChatGPT can provide individualised feedback based on students' prompts, making learning more rewarding.
“As indicated earlier, ChatGPT can provide individualised feedback based on the students' prompts, making learning a more rewarding experience (Bridges, 2009;Weldy & Turnipseed, 2010).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Bridges, 2009
Not checked in the free run.
- cites Weldy & Turnipseed, 2010
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May combine two claims.
Interpretationcitation§ Adaptive learningChatGPT can use big data and learning analytics to monitor student performance, predict success, and respond to students' emotional states in real time, resulting in personalised adaptive learning consistent with constructivist theory.
“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).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Peng et al., 2019
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- cites Rudolph et al., 2023a
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May combine two claims.
Interpretationreasoning§ Automated administrative supportThe integration of ChatGPT can help create a supportive learning environment by providing timely and accurate information, reducing administrative burdens, and saving costs for higher education institutions.
“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.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationcitation§ Automated administrative supportAutomated administrative support provides efficiency and effectiveness, allows synchronous interaction for students, and presents a cost-savings measure for higher education institutions.
“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).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Howlett, 2017
Not checked in the free run.
- cites Okonkwo & Ade-Ibijola, 2021
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- cites Merelo et al., 2022
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May combine two claims.
Interpretationreasoning§ Automated administrative supportImplementing advanced LLMs like ChatGPT has the potential to revolutionise tertiary education by automating some administrative support and providing efficiency and effectiveness.
“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.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ Adaptive learningChatGPT's conversational nature facilitates active construction of students' knowledge through continuous engagement, pattern finding, and learning by experimentation.
“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).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Stapleton & Stefaniak, 2019
Not checked in the free run.
- cites Rudolph et al., 2023a
Not checked in the free run.
May combine two claims.
Interpretationcitation§ Individualised feedbackAI applications like ChatGPT can provide accurate and efficient individualised feedback and automated grading, but users must carefully check outputs because they depend on prompts.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rudolph et al., 2023a
Not checked in the free run.
May combine two claims.
Premisecitation§ Potential bias and falsified information in information processingChatGPT-generated text may contain factual biases due to biased training data, which could perpetuate learners' misconceptions.
“Furthermore, ChatGPT-generated text may contain factual biases due to biased training data, which could perpetuate misconceptions held by learners (Karim, 2023).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Karim, 2023
Not checked in the free run.
Classified as probably not a substantial claim.
Premisecitation§ Ethical and equity considerationsAccording to constructivism, learning is best when instructor-learner interactions are good.
“According to the constructivism learning theory, learning happens best when there are good interactions between the instructor and learner (Schuh, 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Schuh, 2003
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ Ethical and equity considerationsChatGPT challenges ethical and equity practices in higher education and potentially contradicts constructivist learning theory.
“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.”
Quote in the paperSubstantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
May combine two claims.
Premisecitation§ Maintaining academic integrityUsing ChatGPT as a tool for exploration and inquiry allows students to actively construct their own knowledge and meaning, reducing the likelihood of academic dishonesty such as plagiarism or cheating.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Keith, 2022
Not checked in the free run.
May combine two claims.
Premisecitation§ Innovative assessment activitiesChatGPT can generate initial ideas for assessment design, create multiple-choice or short-answer questions, and produce drafts of case studies or other assessments for editing.
“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).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Bridgeman et al., 2023
Not checked in the free run.
- cites Liu & Bridgeman, 2023
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Premisecitation§ Maintaining academic integrityCreating authentic learning experiences requires collaborative and consultative learning experiences.
“Creating authentic learning experiences would require collaborative and consultative learning experiences (Muhajirah, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Muhajirah, 2020
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ Maintaining academic integrityPassive shortcuts that may breach academic integrity hinder learners' active involvement and impede learning.
“Passive shortcuts, potentially resulting in academic integrity breaches, hinder the active involvement of learners and hence impede learning.”
Quote in the paperSubstantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
May combine two claims.
Interpretationcitation§ Ethical and equity considerationsA challenge of ChatGPT is acceptance of AI-provided feedback over human instructor feedback, which conflicts with constructivist theory's emphasis on interactions and social collaboration.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hein, 1991
Not checked in the free run.
- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
May combine two claims.
Interpretationcitation§ Ethical and equity considerationsChatGPT could impact students' ability to actively construct their own knowledge because some students have greater access than others, resulting in a knowledge gap.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hein, 1991
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationreasoning§ Ethical and equity considerationsMisusing ChatGPT to instantly create content as a shortcut conflicts with constructivism and learning theory.
“The misuse of ChatGPT to create content instantly as a shortcut goes against the philosophy of constructivism and any learning theory, for that matter.”
Quote in the paperNot a substantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
Probably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ Innovative assessment activitiesChatGPT's ability to develop innovative and authentic student assessments depends on its focus on the work context and the students' existing knowledge.
“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.”
Quote in the paperNot a substantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
May combine two claims.
Premisecitation§ Innovative assessment activitiesChatGPT can be integrated into assessment tasks where students critique generated text or essays and build high-quality articles from drafts, provoking existing mental models and developing critical thinking.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dennick, 2016
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May combine two claims.
Premisecitation§ Innovative assessment activitiesChatGPT can be integrated into innovative assessment activities to facilitate collaborative learning, scaffolding, real-time feedback, personalised learning, scalability, interactivity, and knowledge creation and dissipation.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kumar, 2021
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ Innovative assessment activitiesIntegrating ChatGPT into innovative assessment activities can promote critical thinking, problem-solving, and collaboration skills among students.
“Proposition 12 (P12): The integration of ChatGPT in innovative assessment activities can promote critical thinking, problemsolving, and collaboration skills among students.”
Quote in the paperNot a substantial claim- Rests on an assumption: Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.
Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ Ethical and equity considerationsThe learning environment includes social groups, instructional strategies, and a motivational atmosphere.
“Furthermore, the learning environment includes social groups, instructional strategies, and a motivational atmosphere, to name a few (Zajda, 2021).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zajda, 2021
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Premisecitation§ Innovative assessment activitiesChatbot technology has shown positive influences on explicit reasoning, learning achievement, knowledge retention, and learning interest.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deng & Yu, 2023
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Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Premisecitation§ Ethical and equity considerationsUsing ChatGPT to facilitate learning could lead to unethical and inequitable practices and destroy the spirit of learning.
“Using ChatGPT to facilitate learning could lead to unethical and inequitable practices, destroying the spirit of learning (Hein, 1991).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hein, 1991
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Evaluate graduate skill setsConstructivist theory suggests learners actively develop knowledge through experiences and interactions rather than passively acquiring it from external tools like ChatGPT.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Geary, 1995
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ Evaluate graduate skill setsIncorporating AI literacy as part of graduate skills could enhance graduates' employability and preparedness for the rapidly evolving job market.
“Therefore, incorporating AI literacy as part of graduate skills could enhance graduates' employability and preparedness for the rapidly evolving job market.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ Evaluate graduate skill setsThe use of ChatGPT in learning and assessment can impact the development of graduate skills, such as critical thinking and problem-solving.
“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.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Premisecitation§ Evaluate graduate skill setsGraduate skills including critical thinking, problem-solving, communication, collaboration, teamwork, leadership, adaptability, digital literacy, global and cultural awareness, ethics, and professionalism are essential for future professional and personal success.
“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).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Abelha et al., 2020
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- cites Osmani et al., 2019
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- cites Oliver & de St Jorre, 2018
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Interpretationreasoning§ Assessing students' learning outcomesReliance on ChatGPT could make it challenging to evaluate the effectiveness of group learning activities and assess students' ability to work collaboratively.
“This could also make it challenging to evaluate the effectiveness of group learning activities and assess students' ability to work collaboratively.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ Assessing students' learning outcomesUsing ChatGPT for assessment is a passive process that does not allow social interaction, hindering students' ability to construct meaning through reflection.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Biggs, 2014
Not checked in the free run.
Classified as probably not a substantial claim.
Premisecitation§ Evaluate graduate skill setsUsing ChatGPT presents an opportunity to incorporate AI literacy as part of graduate skills, preparing graduates for workplace application of LLMs that may replace some jobs and create new ones.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cradle, 2023
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ Evaluate graduate skill setsIncorporating discovery-based and experiential learning methods into curriculum and assessment could promote graduate skill development beyond ChatGPT alone.
“Therefore, the incorporation of these methods into the curriculum and assessment could promote the development of graduate skills beyond the use of ChatGPT alone.”
Quote in the paperNot a substantial claim- 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?
Teamwork and interpersonal skills are crucial for professional success in business education.
“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 arrival of AI in education has potential to produce significant transformations in the teacher-student relationship.
“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 diverse learning trajectories observed 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.
“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]
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.
“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]
Recent studies have brought to light the potential for students to exploit ChatGPT for academic dishonesty.
“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]
The primary concern lies in the potential compromise to academic integrity presented by AI essay-writing systems, particularly ChatGPT.
“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]
There is an apprehension that students might submit essays that do not authentically represent their work, thus contravening ethical standards within educational institutions.
“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).”
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New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023) · Sustainability · doi:10.3390/su151612451 · Cited by 1,089 · see citing works
Imran, M., & Almusharraf, N. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13605 · Cited by 421 · see citing works
AI literacy and its implications for prompt engineering strategies
Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100225 · Cited by 368 · see citing works
“…ChatGPT ’ s, capacity to enrich the educational experience by supporting a wide range of learning methodologies, including adaptive learning, personalized learning, and self-directed learning (Rahman & Watanobe, 2023; Rasul et al., 2023; Ruwe & Mayweg-Paus, 2023; Zhu, Sun, Luo, Li, & Wang, 2023).”
BackgroundWang, H., Dang, A., Wu, Z., & Mac, S. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100326 · Cited by 272 · see citing works
“Then we performed a systematic search using”
BackgroundHigher education students’ perceptions of ChatGPT: A global study of early reactions
Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., Brezovar, N., A. Iahad, N., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., et al. (2025) · PLOS ONE · doi:10.1371/journal.pone.0315011 · Cited by 376 · see citing works
Drivers and Consequences of ChatGPT Use in Higher Education: Key Stakeholder Perspectives
Hasanein, A. M., & Sobaih, A. E. E. (2023) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe13110181 · Cited by 329 · see citing works
A Systematic Review of Generative AI for Teaching and Learning Practice
Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024) · Education Sciences · doi:10.3390/educsci14060636 · Cited by 251 · see citing works
“2024 , 14 , 636 2 of 20 However, concerns including hallucinations [10], bias [11], ethical and privacy concerns [12,13], accidental plagiarism [14], and academic integrity [15–20] have been raised regarding GenAI tools; such tools have been praised for their potential benefits in relation to HE.”
BackgroundEffects of Generative Chatbots in Higher Education
Ilieva, G., Yankova, T., Klisarova-Belcheva, S., Dimitrov, A., Bratkov, M., & Angelov, D. (2023) · Information · doi:10.3390/info14090492 · Cited by 234 · see citing works
“Rasul et al. [44] have presented a framework for usage of ChatGPT in universities based on the constructivism learning theory.”
MethodAnsari, A. N., Ahmad, S., & Bhutta, S. M. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12223-4 · Cited by 198 · see citing works
“…prepare for exams, and enhance language skills, including writing and communication, as well as information and digital literacy (Bishop, 2023; Choi et al., 2023; Cotton et al., 2023; Cox & Tzoc, 2023; Currie, 2023; Ivanov & Soliman, 2023; Lee, 2023; McGrath et al., 2023; Rasul et al., 2023).”
InfluentialDabis, A., & Csáki, C. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03526-z · Cited by 181 · see citing works
“…may be utilised to automate a range of educational tasks, such as test question generation, including open-ended questions, test correction, or even essay grading, feedback provision, analysing student feedback surveys, and so on (Mollick and Mollick, 2022; Rasul et al. 2023; Gimpel et al. 2023).”
A systematic literature review of empirical research on ChatGPT in education
Albadarin, Y., Saqr, M., Pope, N., & Tukiainen, M. (2024) · Discover Education · doi:10.1007/s44217-024-00138-2 · Cited by 191 · see citing works
“This finding aligns with other recent studies [26–28, 60, 66] which revealed that 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.”
Samala, A. D., Rawas, S., Wang, T., Reed, J. M., Kim, J., Howard, N.-J., & Ertz, M. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-12936-0 · Cited by 229 · see citing works
“By fostering creativity, improving language precision, and ensuring grammatical accuracy, ChatGPT may empower users to become more effective and confident writers in various domains (Rasul et al., 2023).”
Kofinas, A. K., Tsay, C. H., & Pike, D. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13585 · Cited by 207 · see citing works
ChatGPT—A Challenging Tool for the University Professors in Their Teaching Practice
Kiryakova, G., & Angelova, N. (2023) · Education Sciences · doi:10.3390/educsci13101056 · Cited by 171 · see citing works
Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning
Guettala, M., Bourekkache, S., Kazar, O., & Harous, S. (2024) · Acta Informatica Pragensia · doi:10.18267/j.aip.235 · Cited by 190 · see citing works
Looking Beyond the Hype: Understanding the Effects of AI on Learning
Bauer, E., Greiff, S., Graesser, A. C., Scheiter, K., & Sailer, M. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10020-8 · Cited by 153 · see citing works
Balalle, H., & Pannilage, S. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101299 · Cited by 137 · see citing works
Boudouaia, A., Mouas, S., & Kouider, B. (2024) · Journal of Educational Computing Research · doi:10.1177/07356331241247465 · Cited by 169 · see citing works
“The fi ndings are also in line with the studies of Rasul et al. (2023) and Rudolph et al. (2023), which acknowledged that using ChatGPT-4 in EFL education has a number of advantages.”
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.12 · Cited by 132 · see citing works
Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania
Rudolph, J., Mohamed Ismail, F. M., & Popenici, S. (2024) · Journal of University Teaching and Learning Practice · doi:10.53761/54fs5e77 · Cited by 128 · see citing works
“This development challenges the nurturing of a suite of graduate skills identified as pivotal for future success, including but not limited to critical thinking, communication, collaboration, leadership, adaptability, digital literacy, and ethical professionalism (Rasul et al., 2023).”
BackgroundInfluentialWill artificial intelligence drive the advancements in higher education? A tri-phased exploration
Kumar, S., Rao, P., Singhania, S., Verma, S., & Kheterpal, M. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123258 · Cited by 131 · see citing works
Almulla, M. A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e32220 · Cited by 161 · see citing works
“…a viable resolution to these issues by offering assistance with a number of research-related tasks, including 1) Coming up with research questions and theories [13,14]; ChatGPT can help academics come up with creative study questions and ideas by analysing large datasets and finding trends [15].”
BackgroundOpportunities, Challenges, and Strategies for Using ChatGPT in Higher Education: A Literature Review
Sok, S., & Heng, K. (2024) · Journal of Digital Educational Technology · doi:10.30935/jdet/14027 · Cited by 120 · see citing works
“Indeed, students ’ learning outcomes may be restricted if they are solely dependent upon ChatGPT for producing their written work and fail to engage in reflection and critical thinking (Firat, 2023; Rasul et al., 2023).”
BackgroundGenerative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance
Kanont, K., Pingmuang, P., Simasathien, T., Wisnuwong, S., Wiwatsiripong, B., Poonpirome, K., Songkram, N., & Khlaisang, J. (2024) · The Electronic Journal of e-Learning · doi:10.34190/ejel.22.6.3196 · Cited by 111 · see citing works
Jafari, F., & Keykha, A. (2023) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-09-2023-0426 · Cited by 106 · see citing works
Schmidt, D. A., Alboloushi, B., Thomas, A., & Magalhães, R. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100274 · Cited by 171 · see citing works
Bobula, M. (2024) · Journal of Learning Development in Higher Education · doi:10.47408/jldhe.vi30.1137 · Cited by 113 · see citing works
Cai, L., Msafiri, M. M., & Kangwa, D. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13112-0 · Cited by 104 · see citing works
Adapting to the Future: ChatGPT as a Means for Supporting Constructivist Learning Environments
Kim, M., & Adlof, L. (2024) · TechTrends · doi:10.1007/s11528-023-00899-x · Cited by 97 · see citing works
“In constructivist theories, students learn through a dynamic knowledge-creation process shaped by the surrounding learning environment, tools, and experiences (Ertmer & Newby, 1993; Rasul et al., 2023).”
InfluentialExamining Students’ Acceptance and Use of ChatGPT in Saudi Arabian Higher Education
Sobaih, A. E. E., Elshaer, I. A., & Hasanein, A. M. (2024) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe14030047 · Cited by 123 · see citing works
Artificial intelligence for higher education: benefits and challenges for pre-service teachers
Kalniņa, D., Nīmante, D., & Baranova, S. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1501819 · Cited by 139 · see citing works
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.34 · Cited by 91 · see citing works
Mohammadkarimi, E. (2023) · Journal of Applied Learning and Teaching · doi:10.37074/jalt.2023.6.2.10 · Cited by 90 · see citing works
“This implication aligns with the findings of multiple scholarly investigations conducted by Cotton et al. (2023), Rasul et al. (2023), and Rudolph et al. (2023b).”
ResultNavigating the landscape of AI literacy education: insights from a decade of research (2014–2024)
Yang, Y., Zhang, Y., Sun, D., He, W., & Wei, Y. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04583-8 · Cited by 128 · see citing works
ChatGPT-Supported Education in Primary Schools: The Potential of ChatGPT for Sustainable Practices
Uğraş, H., Uğraş, M., Papadakis, S., & Kalogiannakis, M. (2024) · Sustainability · doi:10.3390/su16229855 · Cited by 116 · see citing works
AI in the classroom: Exploring students’ interaction with ChatGPT in programming learning
Güner, H., & Er, E. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13337-7 · Cited by 116 · see citing works
“Incorporating AI into collaborative learning activities can also enhance peer-to-peer learning, as students can collectively refine their problem-solving approaches with AI support (Rasul et al., 2023; Suciati et al., 2024).”
Lin, C.-J., Lee, H.-Y., Wang, W.-S., Huang, Y.-M., & Wu, T.-T. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13072-5 · Cited by 83 · see citing works
Duan, S., Liu, C., Rong, T., Zhao, Y., & Liu, B. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07177-9 · Cited by 85 · see citing works
“Additionally, researchers have highlighted ethical and academic integrity issues, including authorship disputes, copyright, authenticity, plagiarism, and the potential misuse of AI-generated content in assessments [20, 22].”
Naznin, K., Mahmud, A. A., Nguyen, M. T., & Chua, C. (2025) · Computers · doi:10.3390/computers14020053 · Cited by 107 · see citing works
Exploring learners’ experiences and perceptions of ChatGPT as a learning tool in higher education
Monib, W. K., Qazi, A., & Mahmud, M. M. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13065-4 · Cited by 80 · see citing works
“They further maintained that Piaget identified two learning processes: assimilation, where new experiences fit into existing schemata, and accommodation, where schemata are adjusted based on new information.”
InfluentialChatbots and AI in Education (AIEd) tools: The good, the bad, and the ugly
Ifelebuegu, A. O., Kulume, P., & Cherukut, P. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.29 · Cited by 97 · see citing works
Shaping integrity: why generative artificial intelligence does not have to undermine education
Tan, M. J. T., & Maravilla, N. M. A. T. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1471224 · Cited by 78 · see citing works
“According to Rasul et.al (2023), ChatGPT supports the constructivist principle that learners construct their own understanding of knowledge by enabling students to explore and experiment with ideas, ask questions, and receive immediate feedback.”
BackgroundMsambwa, M. M., Wen, Z., & Daniel, K. (2025) · European Journal of Education · doi:10.1111/ejed.12909 · Cited by 76 · see citing works
Enhancing academic integrity among students in GenAI Era:A holistic framework
Rasul, T., Nair, S., Kalendra, D., Balaji, M. S., Santini, F. D. O., Ladeira, W. J., Rather, R. A., Yasin, N., Rodriguez, R. V., Kokkalis, P., et al. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.101041 · Cited by 82 · see citing works
Self-citationUso y percepción de ChatGPT en la educación superior
Sánchez, O. V. G. (2023) · Revista de Investigación en Tecnologías de la Información · doi:10.36825/riti.11.23.009 · Cited by 75 · see citing works
“Los beneficios y desafíos del uso de ChatGPT, en la educación superior desde una perspectiva constructivista, se examinan en [21].”
Saihi, A., Ben-Daya, M., Hariga, M., & As'ad, R. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100274 · Cited by 75 · see citing works
Salih, S., Husain, O., Hamdan, M., Abdelsalam, S., Elshafie, H., & Motwakel, A. (2025) · Results in Engineering · doi:10.1016/j.rineng.2024.103837 · Cited by 74 · see citing works
Nelson, A. S., Santamaría, P. V., Javens, J. S., & Ricaurte, M. (2025) · Education Sciences · doi:10.3390/educsci15050611 · Cited by 79 · see citing works
Perceptions of Higher Education Students towards ChatGPT Usage
Das, S. R., & Madhusudan, J. V. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.583 · Cited by 103 · see citing works
Demystifying ChatGPT: An In-depth Survey of OpenAI’s Robust Large Language Models
Bhattacharya, P., Prasad, V. K., Verma, A., Gupta, D. K., Sapsomboon, A., Viriyasitavat, W., & Dhiman, G. (2024) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-024-10115-5 · Cited by 78 · see citing works
ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia
George Pallivathukal, R., Kyaw Soe, H. H., Donald, P. M., Samson, R. S., & Hj Ismail, A. R. (2024) · Cureus · doi:10.7759/cureus.53032 · Cited by 68 · see citing works
“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].”
BackgroundApplication of ChatGPT in Higher Education and Research – A Futuristic Analysis
Aithal, P. S., & Aithal, S. (2023) · International Journal of Applied Engineering and Management Letters · doi:10.47992/ijaeml.2581.7000.0193 · Cited by 71 · see citing works
Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
Zheng, C., Yuan, K., Guo, B., Hadi Mogavi, R., Peng, Z., Ma, S., & Ma, X. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642807 · Cited by 70 · see citing works
Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection
Loos, E. F., Gröpler, J., & Goudeau, M.-L. S. (2023) · Societies · doi:10.3390/soc13080196 · Cited by 76 · see citing works
“…from forbidding the use of ChatGPT or adapting the assessment of students’ learning, to creative ways to embedding it in educational practices [22–24, ChatGPT also does not mention the important risk of social inequality arising in the future due to groups of students not having been exposed to…”
Adarkwah, M. A., Amponsah, S., van Wyk, M. M., Huang, R., Tlili, A., Shehata, B., Metwally, A. H. S., & Wang, H. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.26 · Cited by 78 · see citing works
Elshaer, I. A., Hasanein, A. M., & Sobaih, A. E. E. (2024) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe14070132 · Cited by 65 · see citing works
Daniel, K., Msambwa, M. M., & Wen, Z. (2025) · European Journal of Education · doi:10.1111/ejed.70036 · Cited by 71 · see citing works
Wang, P., Jing, Y., & Shen, S. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.100996 · Cited by 84 · see citing works
Youssef, E., Medhat, M., Abdellatif, S., & Al Malek, M. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100316 · Cited by 65 · see citing works
Li, H., Wang, Y., Luo, S., & Huang, C. (2024) · Journal of Asian Public Policy · doi:10.1080/17516234.2024.2363128 · Cited by 71 · see citing works
“In this environment, learners need to construct knowledge through multiple rounds of interaction and discussion with the LLM-powered chatbot, rather than simply copying AI-generated content as their output, which has the potential to reduce students’ academic misconduct (Rasul et al., 2023).”
Guizani, S., Mazhar, T., Shahzad, T., Ahmad, W., Bibi, A., & Hamam, H. (2025) · Discover Education · doi:10.1007/s44217-025-00424-7 · Cited by 62 · see citing works
“Because ChatGPT provides feedback after every interactive iteration, the curriculum can be modified and enhanced based on the model’s observations and recommendations [95, 96].”
Rethinking online assessment strategies: Authenticity versus AI chatbot intervention
Ifelebuegu, A. O. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.2 · Cited by 70 · see citing works
“According to Seo et al. (2021), if ChatGPT and other AI models are used for rapid and superficial learning, they may hinder the development of graduate-level skills such as critical thinking and problem-solving.”
BackgroundInfluentialChatGPT and higher education assessments: More opportunities than concerns?
Gamage, K. A. A., Dehideniya, S. C. P., Xu, Z., & Tang, X. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.32 · Cited by 60 · see citing works
Chaka, C. (2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.1.14 · Cited by 56 · see citing works
Empowering learners with ChatGPT: insights from a systematic literature exploration
Mohebi, L. (2024) · Discover Education · doi:10.1007/s44217-024-00120-y · Cited by 56 · see citing works
Monib, W. K., Qazi, A., Apong, R. A. A. H. M., Azizan, M. T., Silva, L. D., & Yassin, H. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2105 · Cited by 108 · see citing works
Mumtaz, S., Carmichael, J., Weiss, M., & Nimon-Peters, A. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13099-8 · Cited by 55 · see citing works
“Academ-ics have begun to outline how AIT can be used beneficially to improve the student learning experience (Cowen & Tabarrok, 2023 ), and to identify what they believe are the challenges and benefits of AIT (e.g., Cotton et al., 2024 ; Rasul et al., 2023; Sardana et al., 2023 ).”
Younis, B. (2024) · Journal of Digital Learning in Teacher Education · doi:10.1080/21532974.2024.2365663 · Cited by 68 · see citing works
“Furthermore, AI is capable of fostering continuous improvement in the educational system by analyzing data to inform data-driven decisions (Rasul, 2023).”
How understanding the limitations and risks of using ChatGPT can contribute to willingness to use
Murshidi, G. H. A., Shulgina, G., Kapuza, A., & Costley, J. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00322-9 · Cited by 59 · see citing works
“Not all students may have access to high-speed internet and up-to-date technological devices that allow for the full use of the ChatGPT (Rasul et al., 2023).”
BackgroundCodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming
Hou, X., Wu, Z., Wang, X., & Ericson, B. J. (2024) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3657604.3662032 · Cited by 51 · see citing works
Assessing second-language academic writing: AI vs. Human raters
Geçkin, V., Kızıltaş, E., & ÇINAR, Ç. (2023) · Journal of Educational Technology and Online Learning · doi:10.31681/jetol.1336599 · Cited by 56 · see citing works
“The benefits and challenges ChatGPT offers have been well articulated in the field of higher education (Rasul et al., 2023) and foreign language teaching, learning, and assessment (Hong, 2023).”
Imran, M., Almusharraf, N., Abdellatif, M. S., & Abbasova, M. Y. (2024) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v18i18.49143 · Cited by 51 · see citing works
Exploring the influence of ChatGPT on student academic success and career readiness
Dahri, N. A., Yahaya, N., & Al-Rahmi, W. M. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13148-2 · Cited by 63 · see citing works
“ChatGPT can enhance cognitive skills such as critical thinking and problem-solving by engaging users in interactive dialogue (Rasul et al., 2023).”
InfluentialMei, P., Brewis, D. N., Nwaiwu, F., Sumanathilaka, D., Alva-Manchego, F., & Demaree-Cotton, J. (2025) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2025.100140 · Cited by 50 · see citing works
“In addition, GenAI may help to promote inclusion in learning through expanding readily available access to knowledge (Elbanna & Armstrong, 2024; Rasul et al., 2023), regardless of geographical, socio-economic, or educational barriers.”
Exploring prompt pattern for generative artificial intelligence in automatic question generation
Wang, L., Song, R., Guo, W., & Yang, H. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2024.2412082 · Cited by 53 · see citing works
“The emergence of LLMs has revolutionized the AI field, providing unprecedented capabilities in natural language understanding and generation and offering the potential for educational change (Adeshola & Adepoju, 2023; Rahman & Watanobe, 2023; Rasul et al., 2023; Rospigliosi, 2023).”
Amin, M. A., Kim, Y. S., & Noh, M. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13095-y · Cited by 44 · see citing works
“Furthermore, in the field of higher studies, students can get several benefits by using ChatGPT, for instance, getting personalized feedback, improving academic effectiveness, and accelerating their research activities (Rasul et al., 2023).”
Enough of the chit-chat: A comparative analysis of four AI chatbots for calculus and statistics
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.22 · Cited by 50 · see citing works
Learning Mathematics with Large Language Models
Matzakos, N., Doukakis, S., & Moundridou, M. (2023) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v18i20.42979 · Cited by 43 · see citing works
Mohammadi, E., Thelwall, M., Cai, Y., Collier, T., Tahamtan, I., & Eftekhar, A. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2025.104350 · Cited by 47 · see citing works
Hatmanto, E., & Sari, M. I. (2023) · E3S Web of Conferences · doi:10.1051/e3sconf/202344005001 · Cited by 40 · see citing works
“Personalized learning experiences and differentiated instruction are supported by Chat GPT conversation [19].”
BackgroundZhang, Y., & Dong, C. (2024) · Systems · doi:10.3390/systems12110462 · Cited by 56 · see citing works
Generative AI, Large Language Models, and ChatGPT in Construction Education, Training, and Practice
Jelodar, M. B. (2025) · Buildings · doi:10.3390/buildings15060933 · Cited by 55 · see citing works
Zhou, X., & Schofield, L. (2024) · Journal of Learning Development in Higher Education · doi:10.47408/jldhe.vi30.1031 · Cited by 45 · see citing works
Cheng, M. W. T., & YIM, I. H. Y. (2024) · Discover Education · doi:10.1007/s44217-023-00081-8 · Cited by 44 · see citing works
“Previous studies [3, 20, 27, 34, 48], examined the benefits and threats posed by ChatGPT in the educational setting.”
Wei, X., Chu, X., Geng, J.-Y., Wang, Y.-H., Wang, P., Wang, H., Wang, C., & Lei, L. (2024) · Technology and Society · doi:10.1016/j.techsoc.2024.102566 · Cited by 33 · see citing works
Sánchez, F. Á. B., & Cruz, J. (2024) · Education Sciences · doi:10.3390/educsci14050484 · Cited by 56 · see citing works
“This timely feedback helps students to rapidly make necessary improvements, identify misconceptions, or recognize inaccurate or incomplete ideas about a concept [20].”
BackgroundInfluentialGarcía-Alonso, E. M., León-Mejía, A. C., Sánchez-Cabrero, R., & Guzmán-Ordaz, R. (2024) · Behavioral Sciences · doi:10.3390/bs14070612 · Cited by 53 · see citing works
“User acceptance, mediated by information quality, system quality, perceived learning value, and perceived satisfaction, plays an important role in determining users’ acceptance of ChatGPT [103,104].”
BackgroundThe artificial intelligence literacy (AIL) scale for teachers: A tool for enhancing AI education
Younis, B. (2025) · Journal of Digital Learning in Teacher Education · doi:10.1080/21532974.2024.2441682 · Cited by 72 · see citing works
Exploring the Utility of ChatGPT for Self-directed Online Language Learning
Li, Z., Wang, C., & Bonk, C. J. (2024) · Online Learning · doi:10.24059/olj.v28i3.4497 · Cited by 46 · see citing works
“They emphasized that ChatGPT encourages students to independently explore learning topics by inputting keywords or questions to access relevant information and resources (Firat, 2023; Rasul et al., 2023).”
BackgroundIsiaku, L., Muhammad, A. S., Kefas, H. I., & Ukaegbu, F. C. (2024) · Quality Education for All · doi:10.1108/qea-07-2024-0055 · Cited by 56 · see citing works
Wang, L., & Ren, B. (2024) · Education Sciences · doi:10.3390/educsci14121329 · Cited by 38 · see citing works
Higher education assessment practice in the era of generative AI tools
(2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.1.28 · Cited by 37 · see citing works
Can generative AI motivate management students? The role of perceived value and information literacy
Jose, E. M. K., Prasanna, A., Kushwaha, B., & Das, M. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.101082 · Cited by 51 · see citing works
Artificial intelligence in higher education. A protocol paper for a systematic literature review
Ismail, F. M. M., Tan, E., Rudolph, J., Crawford, J., & Tan, S. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.34 · Cited by 39 · see citing works
Outsourcing Humanity? ChatGPT, Critical Thinking, and the Crisis in Higher Education
Royer, C. (2024) · Studies in Philosophy and Education · doi:10.1007/s11217-024-09946-3 · Cited by 48 · see citing works
RETRACTED: ChatGPT in the classroom: navigating the generative AI wave in management education
Leelavathi, R., & Surendhranatha, R. C. (2024) · Journal of Research in Innovative Teaching & Learning · doi:10.1108/jrit-01-2024-0017 · Cited by 50 · see citing works
RetractedGuiding principles of generative AI for employability and learning in UK universities
Nartey, E. K. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2357898 · Cited by 45 · see citing works
“For instance, the imposition of constraints such as the 1,000-character limit on ChatGPT ’ s computation input and restricted message input frequency (Rasul et al., 2023) may lead to inadequacies in communication.”
Students' perceptions of artificial intelligence integration in higher education
Slimi, Z., Benayoune, A., & Alemu, A. E. (2025) · European Journal of Educational Research · doi:10.12973/eu-jer.14.2.471 · Cited by 38 · see citing works
Using ChatGPT for medical education: the technical perspective
Chan, K. Y., Yuen, T. H., & Co, M. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06785-9 · Cited by 34 · see citing works
“On the other hand, there was a significant change in traditional classroom learning due to the outbreak of COVID-19 [7–13].”
Maaß, L., Grab‐Kroll, C., Koerner, J., Öchsner, W., Schön, M., Messerer, D. A. C., Boeckers, T. M., & Böckers, A. (2024) · Journal of CME · doi:10.1080/28338073.2024.2437293 · Cited by 37 · see citing works
- 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
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › 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
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