The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Empowering learners for the age of artificial intelligence
Open accessAbstract
Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI. The contributions of these papers can be broadly grouped into seven main themes: intersection between AI and humans that looks at the space of coordination; assessment that explores challenges and opportunities afforded by the use of AI in educational assessment; explainability in AI as a critical need for humans in education to understand and trust AI; design for learning that offers principles for designing AI-driven systems and educational opportunities; conceptual AI and learning exploring the need for the development of new theories of learning and their connections with existing theoretical foundations in education; accurate predictions and their role in future education; and applications of AI in classrooms and educational systems. The findings of these studies highlight pressing research and p…
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In the citing paper
“Moreover, there is a notable research gap in the study of human-AI collaboration dynamics in academic writing.”
From Human-AI collaboration patterns in AI-assisted academic writing (2024) · cites this paper as Gašević et al. 2023
In the citing paper
“However, it is also well recognised that GenAI's statistical genesis promotes biases and other limitations, including the risk of factual inaccuracies, hallucinations, cultural colonisation, and a tendency towards 'expected' ideas and expressions (Creely and Henderson 2025;Gašević, Siemens & Sadiq, 2023).”
From Comparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness (2026) · cites this paper as Gašević, Siemens & Sadiq, 2023
Citations
Cites
What is AI Literacy? Competencies and Design Considerations
Long, D., & Magerko, B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376727 · Cited by 3,241
GPT-3: Its Nature, Scope, Limits, and Consequences
Floridi, L., & Chiriatti, M. (2020) · Minds and Machines · doi:10.1007/s11023-020-09548-1 · Cited by 2,519
Conceptualizing AI literacy: An exploratory review
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100041 · Cited by 2,205
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
(2020) · doi:10.1145/3313831 · Cited by 1,951
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature · doi:10.1038/s41586-019-1138-y · Cited by 1,364
Explainable Artificial Intelligence in education
Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y.-S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100074 · Cited by 863
Self-citation(2019) · Cited by 467
Empowering Educators to Be AI-Ready
Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100076 · Cited by 422
Assessment in the age of artificial intelligence
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100075 · Cited by 409
Self-citationMarkauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Buckingham Shum, S., Gašević, D., et al. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100056 · Cited by 353
Self-citation
Research works printed but not linked: 2
- 2022, DARPA's ANSR to improving trustworthy AI, Defense Advanced Research Project Agency
- Marcus, 2023, AGI will not happen in your lifetime. Or will it?, The Road to AI We Can Trust
Cited by
Sorted by citations
A SWOT analysis of ChatGPT: Implications for educational practice and research
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2195846 · Cited by 1,384
“ChatGPT has raised various ethical issues such as encouraging plagiarism and cheating (Gašević et al., 2023) and being prone to errors such as the provision of fake information (Tlili et al., 2023).”
BackgroundManaging the Strategic Transformation of Higher Education through Artificial Intelligence
GEORGE, B. P., & Wooden, O. S. (2023) · Administrative Sciences · doi:10.3390/admsci13090196 · Cited by 791
“The incorporation of AI technologies into universities can usher in notable advancements in higher education, such as personalized learning trajectories, heightened accessibility, and refined administrative processes (Adams et al. 2023; Gaševi´c et al. 2023).”
Impact of AI assistance on student agency
Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024) · Computers & Education · doi:10.1016/j.compedu.2023.104967 · Cited by 548
Self-citationPromises and challenges of generative artificial intelligence for human learning
Yan, L., Greiff, S., Teuber, Z., & Gašević, D. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02004-5 · Cited by 499
Self-citationHuman-AI collaboration patterns in AI-assisted academic writing
Nguyen, A., Hong, Y., Dang, B., & Huang, X. (2024) · Studies in Higher Education · doi:10.1080/03075079.2024.2323593 · Cited by 449
“Current research is still nascent and primarily focuses on the capabilities and immediate effects of generative AI tools (Gašević et al. 2023; Kishore et al. 2023).”
Background
Metadata
- Authors
- Gašević, D., Siemens, G., & Sadiq, S.
- Affiliations
- Monash University (AU)
- University of South Australia (AU)
- The University of Queensland (AU)
- Corresponding author
- Gašević, Dragan
- Siemens, George
- Sadiq, Shazia
- Venue
- Computers and Education: Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2023
- Volume
- 4
- Pages
- 100130
- ISSN
- 2666-920X (ISSN-L)
- OpenAlex
- W4319072032
- Cited by
- 234
- References
- 19
- Citations by year
- 2026: 33 · 2025: 90 · 2024: 84 · 2023: 27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers and Education Artificial Intelligence (publishedVersion, cc-by-nc-nd)
- Monash University Research Portal (Monash University) (submittedVersion, cc-by-nc-nd)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion, cc-by-nc-nd)
- HAL (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Economic and Social Research Council
- Australian Research Council (DP210100060, DP220101209)
- Jacobs Foundation
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence in education, student empowerment, ChatGPT, DALL-E, explainable AI, design for learning, learning theory, data ownership, AI literacy, education policy, learning and teaching practices
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