The role of AI assisted socio-cultural frameworks in academic change and higher education growth
Integrity signals
Registry
Cites
Statistics
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?
Access to GenAI tools remains a problem.
“But access is still a problem, every student should benefit, no matter their background (Pan and Yang, 2021).”
From Ethical and regulatory challenges of Generative AI in education: a systematic review (2025) · cites this paper as Pan and Yang, 2021
Regulations must include clear ethical principles to foster transparency and trust in these technologies.
“Pan and Yang (2021) add that regulations must include clear ethical principles to foster transparency and trust in these technologies.”
From Ethical and regulatory challenges of Generative AI in education: a systematic review (2025) · cites this paper as Pan and Yang (2021)
Cited by
Sorted by citations
Ethical and regulatory challenges of Generative AI in education: a systematic review
García-López, I. M., & Trujillo-Liñán, L. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1565938 · Cited by 144 · 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
- Authors
- Pan, Y., & Yang, P.
- ORCID
- Yang, Pingyu
- Venue
- International Journal of Technology Management
- Publisher
- Inderscience Publishers
- Published
- 2021
- Volume
- 86
- Issue
- 2/3/4
- Pages
- 196
- ISSN
- 0267-5730 (ISSN-L)
- 1741-5276
- OpenAlex
- W4238711546
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 1
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Technology Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Social Sciences › Education › University Challenges and Reforms
- Keywords
- artificial intelligence, academic change, higher education development, higher education institutions
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.
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