The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives
Daniel Lee, Matthew Arnold, Amit Srivastava, Katrina Plastow, Peter Strelan, Florian Ploeckl, Dimitra Lekkas, Edward Palmer
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.caeai.2024.100221 ↗
- Volume · Issue · Pages
- 6 · — · 100221-100221
- Publisher
- Elsevier BV
- Article URL
- https://doi.org/10.1016/j.caeai.2024.100221 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
11 Apr 2024
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 11 Apr 2024 | OpenAlex |
Keywords (as given): generative AI; higher education; teacher perceptions; academic integrity; AI in teaching; assessment design; faculty readiness
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
X
Based on the recorded HEC dataset applicable to the article's publication date. Listed as X in the HEC list for 2023–24.
- Journal
- Computers and Education: Artificial Intelligence
- Publication date used
- 11 Apr 2024 (OpenAlex publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 434, row 2986
- Verification status
- Verified against source · last verified 23 Sep 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.