The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Will generative AI replace teachers in higher education? A study of teacher and student perceptions
Open accessPublished version of a preprint
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Chan and Tsi (2024) demonstrated that faculty attitudes toward generative AI existed on a continuum from enthusiastic adoption to principled resistance, with the majority situated in a zone of cautious ambivalence.”
From Adoption and Integration of Artificial Intelligence in Foreign Language Teaching: Multi-Institutional Analysis of Higher Education (2026) · cites this paper as Chan and Tsi (2024)
In the citing paper
“Despite these technological advancements, a growing body of evidence indicates that the Integration of AI into language pedagogy remains superficial and inconsistent (Chan & Tsi, 2024;Moorhouse et al., 2023).”
From Adoption and Integration of Artificial Intelligence in Foreign Language Teaching: Multi-Institutional Analysis of Higher Education (2026) · cites this paper as Chan & Tsi, 2024
In the citing paper
“This directly challenges the claims that GenAI feedback is an opportunity for 'liberating teachers from time-consuming tasks and allowing them to concentrate on higher-level responsibilities' (Chan and Tsi 2024, p.2).”
From Comparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness (2026) · cites this paper as Chan and Tsi 2024
In the citing paper
“Faculty members largely rejected the notion that GenAI will replace human teachers, affirming unique human qualities such as emotional support, creativity nurturing and ethical guidance (Chan & Tsi, 2024).”
From An integrated AI literacy framework for higher‑education teachers: a critical review and conceptual synthesis (2026) · cites this paper as Chan & Tsi, 2024
In the citing paper
“The research indicated that a significant anxiety existed regarding cognitive offloading and epistemic authority (Chan & Tsi, 2024;Haroud & Saqri, 2025).”
From An integrated AI literacy framework for higher‑education teachers: a critical review and conceptual synthesis (2026) · cites this paper as Chan & Tsi, 2024
In the citing paper
“Finally, broader social implications such as equity, access, workforce transformation and societal consequences remained unaddressed despite reports on individual emotional responses and work-life balance (Chan & Tsi, 2024;Ding et al., 2025).”
From An integrated AI literacy framework for higher‑education teachers: a critical review and conceptual synthesis (2026) · cites this paper as Chan & Tsi, 2024
In the citing paper
“There were disparate reports on whether AI was perceived as a threat to teacher autonomy because it lacks affective and creative capacities, compared to arguments that AI will not replace human teachers but rather provide time efficiencies for other tasks (Chan & Tsi, 2024;Haroud & Saqri, 2025;Khalil & Alsenaidi, 2024).”
From An integrated AI literacy framework for higher‑education teachers: a critical review and conceptual synthesis (2026) · cites this paper as Chan & Tsi, 2024
In the citing paper
“AI tools and resources, such as virtual tutors, voice assistants [18], text-to-image generation (Stable Diffusion, Dall-e-2, Midjourney), text summarization (summarizer.org),AI video generation platforms (Synthesia or Elai.io),AI-enabled adaptive assessment [48], and smart content, may also supplement traditional learning techniques by providing students with additional material and interactive ex”
From New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023) · cites this paper as [40]
In the citing paper
“Recent research recommends a balanced approach, emphasizing that universities should support educators in leveraging AI's strengths while maintaining the unique qualities of human teaching, such as fostering critical thinking and social-emotional skills (Chan & Tsi, 2024).”
From Examining faculty and student perceptions of generative AI in university courses (2025) · cites this paper as Chan & Tsi, 2024
Citations
Cites
Mixed Methods Research: A Research Paradigm Whose Time Has Come
Johnson, R. B., & Onwuegbuzie, A. J. (2004) · Educational Researcher · doi:10.3102/0013189x033007014 · Cited by 11,170
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242
Artificial Intelligence in Education: A Review
Chen, L., Chen, P., & Lin, Z. (2020) · IEEE Access · doi:10.1109/access.2020.2988510 · Cited by 4,133 · cited 6×
“Multiple studies and reports have provided evidence to support the notion that the time-consuming administrative tasks involved in the teaching and learning process can be done through AI technologies while not compromising the tasks quality (Chen, Chen & Lin, 2020; Felix, 2020; UNESCO, 2021).”
InfluentialArtificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772 · cited 5×
“…training from human operators in order for AI to function properly (Wilson & Daugherty, 2018), inequality and prejudice issues arising from reliance on AI (Wogu, Misra, Olu-Owolabi, Assibong, & Udoh, 2018), and the comparative disadvantage of AI in holistic and visionary thinking (Jarrahi, 2018).”
InfluentialStudents' voices on generative ai: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · arXiv · doi:10.48550/arxiv.2305.00290 · Cited by 2,504
Self-citationStudents’ voices on generative AI: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00411-8 · Cited by 2,301
Self-citationA comprehensive AI policy education framework for university teaching and learning
Chan, C. K. Y. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00408-3 · Cited by 1,577
Self-citationHow Does Professional Development Improve Teaching?
Kennedy, M. M. (2016) · Review of Educational Research · doi:10.3102/0034654315626800 · Cited by 1,305
Martin, A. J., & Dowson, M. N. (2009) · Review of Educational Research · doi:10.3102/0034654308325583 · Cited by 1,220
The promises and challenges of artificial intelligence for teachers: A systematic review of research
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022) · TechTrends · doi:10.1007/s11528-022-00715-y · Cited by 984 · cited 1×
“Some of the notable concerns include the dubious technical capacity and reliability of algorithms (Celik, Dindar, Muukkonen & Järvelä, 2022), the necessary human input or training from human operators in order for AI to function properly (Wilson & Daugherty, 2018), inequality and prejudice issues…”
Pavlik, J. V. (2023) · Journalism & Mass Communication Educator · doi:10.1177/10776958221149577 · Cited by 972 · cited 1×
“Firstly, AI currently lacks sentience and self-awareness, producing only mechanical responses without emotions (Felix, 2020; Pavlik, 2023).”
AI and education: guidance for policy-makers
UNESCO (2021) · doi:10.54675/pcsp7350 · Cited by 929
Heutagogy and lifelong learning: A review of heutagogical practice and self-determined learning
Blaschke, L. M. (2012) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v13i1.1076 · Cited by 892
Chatterjee, S., & Bhattacharjee, K. K. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10159-7 · Cited by 747
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
Qadir, J. (2023) · 2023 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon54358.2023.10125121 · Cited by 707 · cited 1×
“Generative AI technologies such as ChatGPT are capable of acting as a virtual intelligent tutor (Qadir, 2022), some teachers work with generative AI technologies to engage in personalized learning.”
Kim, J., Lee, H., & Cho, Y. H. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10831-6 · Cited by 669
Huang, A. Y. Q., Lu, O. H. T., & Yang, S. J. H. (2023) · Computers & Education · doi:10.1016/j.compedu.2022.104684 · Cited by 605
In AI We Trust: Ethics, Artificial Intelligence, and Reliability
Ryan, M. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00228-y · Cited by 600
The teacher educator as a role model
Lunenberg, M., Korthagen, F. A. J., & Swennen, J. M. H. (2006) · Teaching and Teacher Education · doi:10.1016/j.tate.2006.11.001 · Cited by 584
Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2023.03.001 · Cited by 535
Intelligent tutoring systems: an overview
Nwana, H. (1990) · Artificial Intelligence Review · doi:10.1007/bf00168958 · Cited by 531 · cited 1×
“Over the decades, it has evolved into intelligent tutoring systems (ITS), which are now widely used for teaching and learning (Nwana, 1990).”
Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies
Cope, B., Kalantzis, M., & Searsmith, D. (2021) · Educational Philosophy and Theory · doi:10.1080/00131857.2020.1728732 · Cited by 518 · cited 2×
“…AI’s capabilities, scholars only view AI as “cognitive prostheses” that can aid teaching and learning, but not yet capable of replacing the values of human thoughts or collaborative relationships between teachers and students (Cope, Kalantzis & Searsmith, 2021; Felix, 2020; Kim, Lee & Cho, 2022).”
Future research recommendations for transforming higher education with generative AI
Chiu, T. K. F. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100197 · Cited by 511
Teachers’ Instructional Adaptations: A Research Synthesis
Parsons, S. A., Vaughn, M., Scales, R. Q., Gallagher, M. A., Parsons, A. W., Davis, S. G., Pierczynski, M., & Allen, M. H. (2017) · Review of Educational Research · doi:10.3102/0034654317743198 · Cited by 468
Letting Artificial Intelligence in Education Out of the Box: Educational Cobots and Smart Classrooms
Timms, M. J. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0095-y · Cited by 465 · cited 3×
“…ability to record students’ learning and characteristics (Schiff, 2020), intelligent tutoring that perceives and analyses the emotions of students (Yang & Zhang, 2019), and sensors, monitors and facial recognition cameras that help teachers manage the class and handle learning tasks (Timms, 2016).”
Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100221 · Cited by 402
Moorhouse, B. L., & Kohnke, L. (2024) · System · doi:10.1016/j.system.2024.103290 · Cited by 352
Out of the laboratory and into the classroom: the future of artificial intelligence in education
Schiff, D. (2021) · AI & SOCIETY · doi:10.1007/s00146-020-01033-8 · Cited by 334
Sallam, M., Salim, N., Barakat, M., & Al-Tammemi, A. (2023) · Narra J · doi:10.52225/narra.v3i1.103 · Cited by 331
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100156 · Cited by 309
In principle obstacles for empathic AI: why we can’t replace human empathy in healthcare
Montemayor, C., Halpern, J., & Fairweather, A. (2022) · AI & SOCIETY · doi:10.1007/s00146-021-01230-z · Cited by 293
Feedback sources in essay writing: peer-generated or AI-generated feedback?
Banihashem, S. K., Kerman, N. T., Noroozi, O., Moon, J., & Drachsler, H. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00455-4 · Cited by 282
Using tables to enhance trustworthiness in qualitative research
Cloutier, C., & Ravasi, D. (2020) · Strategic Organization · doi:10.1177/1476127020979329 · Cited by 262
AI and education: the importance of teacher and student relations
Guilherme, A. A. (2017) · AI & Society · doi:10.1007/s00146-017-0693-8 · Cited by 254
Applying Artificial Intelligence in Physical Education and Future Perspectives
Lee, H. S., & Lee, J. (2021) · Sustainability · doi:10.3390/su13010351 · Cited by 213
Generative AI and the Automating of Academia
Watermeyer, R., Phipps, L., Lanclos, D., & Knight, C. (2023) · Postdigital Science and Education · doi:10.1007/s42438-023-00440-6 · Cited by 200
An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI
Chan, C. K. Y., & Zhou, W. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00284-4 · Cited by 192
Self-citationTraining and Preparing Tomorrow’s Workforce for the Fourth Industrial Revolution
Bühler, M. M., Jelinek, T., & Nübel, K. (2022) · Education Sciences · doi:10.3390/educsci12110782 · Cited by 166
Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives
Noroozi, O., Soleimani, S., Farrokhnia, M., & Banihashem, S. K. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.845 · Cited by 165
I, teacher: Using Artificial Intelligence (AI) and social robots in communication and instruction
Edwards, C., Edwards, A., Spence, P. R., & Lin, X. (2018) · Communication Education · doi:10.1080/03634523.2018.1502459 · Cited by 159
Vu, H. T., & Lim, J. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1884288 · Cited by 146
Generative AI in higher education and beyond
Hashmi, N., & Bal, A. S. (2024) · Business Horizons · doi:10.1016/j.bushor.2024.05.005 · Cited by 141
The Role of the Teacher and AI in Education
Felix, C. V. (2020) · Emerald Group Publishing Limited eBooks · doi:10.1108/s2055-364120200000033003 · Cited by 134 · cited 4×
“Firstly, AI currently lacks sentience and self-awareness, producing only mechanical responses without emotions (Felix, 2020; Pavlik, 2023).”
InfluentialApplication of Artificial Intelligence in Modern Art Teaching
Kong, F. (2020) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v15i13.15351 · Cited by 123
Alhashmi, S. F. S., Salloum, S. A., & Abdallah, S. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-31129-2_36 · Cited by 118
An Analysis of the Role of Artificial Intelligence in Education and Teaching
Malik, G., Tayal, D. K., & Vij, S. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-8639-7_42 · Cited by 112 · cited 1×
“These technologies can enhance student engagement by providing interactive, personalized, and immersive learning environments (Malik, Tayal & Vij, 2019; Chen, Chen & Lin, 2020).”
Marinucci, L., Mazzuca, C., & Aldo Gangemi, A. (2022) · AI & Society · doi:10.1007/s00146-022-01474-3 · Cited by 107
Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines
Yang, J., & Zhang, B. (2019) · Applied Sciences · doi:10.3390/app9102078 · Cited by 105
The Emperor of Strong AI Has No Clothes: Limits to Artificial Intelligence
Braga, A., & Logan, R. (2017) · Information · doi:10.3390/info8040156 · Cited by 101
Handbook of Research on Learning in the Age of Transhumanism
Uğur, S., & Kurubacak, G. 1. (2018) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-8431-5 · Cited by 84
Assessment for Experiential Learning
Chan, C. K. Y. (2022) · Routledge eBooks · doi:10.4324/9781003018391 · Cited by 82
Self-citationKolchenko, V. (2018) · HAPS Educator · doi:10.21692/haps.2018.032 · Cited by 80
Ethical Questions Raised by AI-Supported Mentoring in Higher Education
Köbis, L., & Mehner, C. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.624050 · Cited by 79
Does perception mean learning? Insights from an online peer feedback setting
Noroozi, O., Alqassab, M., Kerman, N. T., Banihashem, S. K., & Panadero, E. (2024) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2024.2345669 · Cited by 73
Voice Assistants and Artificial Intelligence in Education
Terzopoulos, G., & Satratzemi, M. (2019) · Balkan Conference in Informatics · doi:10.1145/3351556.3351588 · Cited by 71
Λαμπρόπουλος, Γ. (2023) · Springer series on cultural computing · doi:10.1007/978-3-031-27166-3_8 · Cited by 71
The Mindset of Teachers Capable of Fostering Resilience in Students
Brooks, R. B., & Goldstein, S. (2008) · Canadian Journal of School Psychology · doi:10.1177/0829573508316597 · Cited by 66
Renz, A., Krishnaraja, S., & Gronau, E. (2020) · International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) · doi:10.3991/ijai.v2i1.12675 · Cited by 66
Introduction to Artificial Intelligence
Papajorgji, P. J., & Moskowitz, H. (2024) · Springer eBooks · doi:10.1007/978-3-031-78078-3_5 · Cited by 66
Recent Findings in Intelligent Computing Techniques
(2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-8636-6 · Cited by 64
Artificial Intelligence in Education
Chan, L., Hogaboam, L., & Cao, R. (2022) · Applied innovation and technology management · doi:10.1007/978-3-031-05740-3_17 · Cited by 62
Obenza, B. N., Salvahan, A., Rios, A. N., Solo, A., Alburo, R. A., & Gabila, R. J. (2024) · International Journal of Human Computing Studies · doi:10.31149/ijhcs.v5i12.5033 · Cited by 60
McGuire, A., Qureshi, W., & Saad, M. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.639 · Cited by 47
Exploring University Students Perceptions of Generative Artificial Intelligence in Education
Bucharest University of Economic Studies, tala, M. L., Muller, C. N., Hochschule Fresenius, B., Nastase, I. A., Bucharest University of Economic Studies, State, O., Bucharest University of Economic Studies, Gheorghe, G., & Bucharest University of Economic Studies (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/65/71 · Cited by 42
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019
(2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-31129-2 · Cited by 37
An Educator’s Guide to STEAM: Engaging Students Using Real-World Problems
Lee, Y. (2019) · Pedagogies An International Journal · doi:10.1080/1554480x.2019.1665868 · Cited by 31
Scientists' Perspectives on the Potential for Generative AI in their Fields
Morris, M. R. (2023) · arXiv · doi:10.48550/arxiv.2304.01420 · Cited by 28 · cited 1×
“” (2) Developing Students’ Research and Writing Skills One remarkable aspect of generative AI is its proficiency in producing well-crafted text (Morris, 2023), teachers can take advantage of this to enhance students’ writing and research skills with the technology.”
Mann, G., Gilmore, L., Robertson, A., Kennedy-Wood, L., & Maia-Pike, L. (2023) · Teachers and Teaching · doi:10.1080/13540602.2023.2241020 · Cited by 24
Baarslag, T., Kaisers, M., Gerding, E., Jonker, C. M., & Gratch, J. S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-71679-4_10 · Cited by 16
Assessing Concepts, Procedures, and Cognitive Demand of ChatGPT-generated Mathematical Tasks
Sapkota, B., & Bondurant, L. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.677 · Cited by 15
What Is Artificial Intelligence: History and Basic Definitions
Koltsakis, E., Klontzas, M. E., & Karantanas, A. H. (2023) · Imaging informatics for healthcare professionals · doi:10.1007/978-3-031-25928-9_1 · Cited by 12
Replacement of humans in the classroom by artificial Intelligence: A rhetoric
Etiubon, R. U., & Etiubon, A. H. (2023) · Asian Journal of Educational Technology · doi:10.53402/ajet.v2i1.185 · Cited by 8
A Review of the Scholarly Works on ChatGPT Use in Education: Bibliometric Analysis
Yun, W. S., & Surianshah, S. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.823 · Cited by 7
Identifying Whether a Short Essay was written by a University Student or ChatGPT
Saarna, C. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.773 · Cited by 7
Pusat Pengajian Matematik, U. T. M. C. N. S., .., Z. M., Mohamad, W. N., Lu, Z., Al-Sharqi, F. A., shlaka, R. A., Al-Quran, A. A., & Awad, A. M. A. B. (2024) · Journal of Intelligent Systems and Internet of Things · doi:10.54216/jisiot.110203 · Cited by 4
Ji, C., Zhang, Y., Liu, X., Jatowt, A., Bhowmick, S. S., Sun, C., Zhu, C., & Zhao, T. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07588-5 · Cited by 2
e-Training Package for Secondary Pre-service Teachers
Ramirez, I. A. L. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.593 · Cited by 2
Generative AI in higher education: the ChatGPT effect
Mawarsih, P. B., Nadzifah, H., Widuri, A. W. P., & Kurniawati, E. (2025) · Asia Pacific Journal of Education · doi:10.1080/02188791.2024.2420309 · Cited by 2
Research works printed but not linked: 5
- Bashir, 2023, Teachers and teacher educator’s role in developing civic sense and ethics among youth., Pakistan Journal of Educational Research and Evaluation (PJERE), 11
- Briggs, 2023, The potentially large effects of artificial intelligence on economic growth, Goldman Sachs
- Chan, C.K.Y. (2023b). Is AI changing the rules of academic misconduct? An in-depth look at students' perceptions of 'AI-giarism'. (Under review).
- Chan, C.K.Y. (2024). Exploring the factors of "AI guilt" among students -- Are you guilty of using AI in your homework? arXiv. https://arxiv.org/abs/2407.10777. · arXiv
- Wilson, 2018, Collaborative intelligence: Humans and AI are joining forces, Harvard Business Review, 96, 114
Cited by
Sorted by citations
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00411-8 · Cited by 2,301
Self-citationWalter, Y. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00448-3 · Cited by 1,113
Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025) · Computers & Education · doi:10.1016/j.compedu.2024.105224 · Cited by 531
Generative AI in Higher Education: The ChatGPT Effect
Chan, C. K. Y., & Colloton, T. (2024) · Routledge · doi:10.4324/9781003459026 · Cited by 203
Self-citationComparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness
Henderson, M., Bearman, M., Chung, J., Fawns, T., Buckingham Shum, S., Matthews, K. E., & de Mello Heredia, J. (2026) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2025.2502582 · Cited by 211
“This directly challenges the claims that GenAI feedback is an opportunity for ‘liberating teachers from time-consuming tasks and allowing them to concentrate on higher-level responsibilities’ (Chan and Tsi 2024, p.2).”
Metadata
- Authors
- Chan, C. K. Y., & Tsi, L. H. Y.
- Affiliations
- University of Hong Kong (HK)
- Corresponding author
- Chan, Cecilia Ka Yuk
- ORCID
- Chan, Cecilia Ka Yuk
- Venue
- Studies in Educational Evaluation
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 83
- Pages
- 101395
- ISSN
- 0191-491X (ISSN-L)
- OpenAlex
- W4401988281
- Cited by
- 387
- References
- 79
- Citations by year
- 2026: 152 · 2025: 157 · 2024: 57
- FWCI
- 137.61
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Studies In Educational Evaluation (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-sa)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- University Grants Committee
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Educational Technology and Pedagogy
- Keywords
- generative AI, teacher role, human-AI collaboration, AI replacing teachers, student perceptions, teacher perceptions, socioemotional skills, critical thinking, AI literacy, AI ethics, privacy, university teaching, Hong Kong universities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
