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Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review
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Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review (2024)Generative AI and Higher Education: Trend…Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt (2024)Investigation of the moderati…Use of generative artificial intelligence in the training of journalists: challenges, uses and training proposal (2023)Use of generative artificial …The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? (2023)The AI generation gap: Are Ge…Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach (2023)Performing an Inductive Thema…Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process (2023)Not quite eye to A.I.: studen…Maintaining the integrity of the South African university: The impact of ChatGPT on plagiarism and scholarly writing (2023)Maintaining the integrity of …Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice (2023)Generative Artificial Intelli…Generative Artificial Intelligence Acceptance Scale: A Validity and Reliability Study (2023)Generative Artificial Intelli…Generative AI and the Automating of Academia (2023)Generative AI and the Automat…Detection of GPT-4 Generated Text in Higher Education: Combining Academic Judgement and Software to Identify Generative AI Tool Misuse (2023)Detection of GPT-4 Generated …ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity (2023)ChatGPT versus engineering ed…ChatGPT in Nuclear Medicine Education (2023)ChatGPT in Nuclear Medicine E…ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs) (2023)ChatGPT effects on cognitive …Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator (2023)Applying a modified technolog…AI-generated feedback on writing: insights into efficacy and ENL student preference (2023)AI-generated feedback on writ…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)How to properly use the PRISMA Statement (2021)Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement (2021)CONSORT 2025 statement: updated guideline for reporting randomised trials (2025)Exploring SWOT analysis – where are we now? (2010)An Overview of Chatbot Technology (2020)Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? (2023)ChatGPT listed as author on research papers: many scientists disapprove (2023)Principles and Practice in Second Language Acquisition (1983)Principles and Practice in Second Language Acquisition (1983)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Developing evaluative judgement for a time of generative artificial intelligence (2024)Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024)RETRACTED ARTICLE: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis (2025)A Revision of Bloom's Taxonomy: An Overview (2002)Writing narrative literature reviews for peer-reviewed journals: secrets of the trade (2006)Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (2023)Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective (2024)Borrowing Others' Words: Text, Ownership, Memory, and Plagiarism (1996)Statistics notes: Cronbach's alpha: Table 1 (1997)Algorithmic Bias in Education (2021)Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines (2024)Generative AI in Higher Education: Balancing Innovation and Integrity (2025)Rethinking the importance of social norms in generative AI adoption: investigating the acceptance and use of generative AI among higher education students (2025)Generations at work: managing the clash of veterans, boomers, Xers, and Nexters in your workplace (2000)Generation Z: Technology and Social Interest (2015)Y and Z Generations at Workplaces (2016)A comprehensive AI policy education framework for university teaching and learning (2023)Students’ voices on generative AI: perceptions, benefits, and challenges in higher education (2023)Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies (2024)Using thematic analysis in psychology (2006)Thematic Analysis (2017)ChatGPT for Education and Research: Opportunities, Threats, and Strategies (2023)LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis (2023)Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance (2024)Using thematic analysis in qualitative research (2025)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)User Acceptance of Information Technology: Toward A Unified View1 (2003)Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy (2024)Modelling Generative AI Acceptance, Perceived Teachers' Enthusiasm and Self‐Efficacy to English as a Foreign Language Learners' Well‐Being in the Digital Era (2024)Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education (2025)Qualitative Data Analysis: An Expanded Sourcebook (1994)Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice (2005)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Pedagogical Applications of Generative AI in Higher Education: A Systematic Review of the Field (2025)The theory of planned behavior (1991)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour (2024)Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives (2024)Higher education students’ perceptions of ChatGPT: A global study of early reactions (2025)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews14,564 cited
  • 2023The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers?872 cited
  • 2023AI-generated feedback on writing: insights into efficacy and ENL student preference801 cited
  • 2023Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice552 cited
  • 2023Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process523 cited
  • 2023ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs)463 cited
  • 2023ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity438 cited
  • 2024Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt305 cited
  • 2023Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach301 cited
  • 2023Generative Artificial Intelligence Acceptance Scale: A Validity and Reliability Study268 cited
  • 2023Detection of GPT-4 Generated Text in Higher Education: Combining Academic Judgement and Software to Identify Generative AI Tool Misuse231 cited

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  • 2023Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator229 cited
  • 2023Generative AI and the Automating of Academia148 cited
  • 2023Use of generative artificial intelligence in the training of journalists: challenges, uses and training proposal86 cited
  • 2023ChatGPT in Nuclear Medicine Education47 cited
  • 2023Maintaining the integrity of the South African university: The impact of ChatGPT on plagiarism and scholarly writing34 cited
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