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Will generative AI replace teachers in higher education? A study of teacher and student perceptions
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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
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
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Han, H. (2026) · Journal of Moral Education · doi:10.1080/03057240.2026.2730949
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Labib, W. A., Abowardah, E. S., Abdelsattar, A., & Abdelalim, M. F. (2026) · Lecture notes in civil engineering · doi:10.1007/978-981-92-2006-9_16
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Wiest, J. B. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/s2050-206020260000030004
Fong, C. J., Zarei, P., Schallert, D. L., Fard, S. M., & Dezhkameh, A. (2026) · Computers and Education Open · doi:10.1016/j.caeo.2026.100429
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“In a related strand of work, Chan and Tsi focused specifically on the capacity of generative AI for replacing human teachers [54].”
Background
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 ›
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