Harnessing the power of artificial intelligence and ChatGPT in education -a first rapid literature review
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?
The identified uses of ChatGPT by students with disabilities are fairly similar to the ones for the general student population.
“While the identified uses are fairly similar to the ones for the general student population (Chan & Hu, 2023;Jahic et al., 2023;Morris, 2023)”
From Exploring the role of generative AI in higher education: Semi-structured interviews with students with disabilities (2025) · cites this paper as Jahic et al., 2023
The concerns and challenges identified by students with disabilities reflected those identified in the literature for the general population.
“The concerns and challenges identified by students with disabilities reflected those identified in the literature for the general population (Chan & Hu, 2023;Jahic et al., 2023;Morris, 2023).”
From Exploring the role of generative AI in higher education: Semi-structured interviews with students with disabilities (2025) · cites this paper as Jahic et al., 2023
Cited by
Sorted by citations
Pierrès, O., Darvishy, A., & Christen, M. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13134-8 · Cited by 48 · see citing works
- Authors
- Jahic, I., Ebner, M., & Schön, S.
- ORCID
- Ebner, Martin
- Venue
- Unpublished
- Publisher
- Unpublished
- Published
- 2023
- OpenAlex
- W6941342297
- Cited by
- 7
- References
- 0
- Citations by year
- 2025: 4 · 2024: 3
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- artificial intelligence in education, ChatGPT, large language models, generative AI, educational technology
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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