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Exploring the integration of ChatGPT in education: adapting for the future
Abstract
Purpose This article aims to explore the advantages of integrating a new generative artificial intelligence (AI) technology in education. It investigates the use of ChatGPT in personalized learning, assessment and content creation and examines ways to manage its limitations and some ethical considerations. The purpose is to stimulate discussion on the effective application of ChatGPT as a tool for learning and skill development while remaining mindful of the ethical issues involved. Design/methodology/approach The methodology in this article includes four steps: a literature search, screening and selection, analysis and synthesis. The literature was thoroughly screened and selected on the basis of its relevance to the research question, before selected material were carefully read and analyzed. The insights gained from this analysis were then synthesized to identify key considerations in integrating ChatGPT in education. Findings The study concludes that ChatGPT can be effectively integrated into education to automate routine tasks and enhance the learning experience for students, ultimately increasing productivity and efficiency and fostering adaptive learning. However, the limitations of ChatGPT, even when updated, must be borne in mind, including factual inconsistencies, potential bias promotion, lack of in-depth understanding and safety concerns. The study nevertheless highlights the benefits of responsibly integrating ChatGPT within the field of education. Practical impl…
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“In addition, GenAI may help to promote inclusion in learning through expanding readily avail able access to knowledge (Elbanna & Armstrong, 2024; Rasul et al., 2023), regardless of geographical, socio-economic, or educational bar riers.”
From If ChatGPT can do it, where is my creativity? generative AI boosts performance but diminishes experience in creative writing (2025) · cites this paper as Elbanna & Armstrong, 2024
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Metadata
- Authors
- Elbanna, S., & Armstrong, L.
- Affiliations
- Qatar University (QA)
- Venue
- Management & Sustainability: An Arab Review
- Publisher
- Emerald
- Published
- 2023-05-31
- Volume
- 3
- Issue
- 1
- Pages
- 16-29
- ISSN
- 2752-9819 (ISSN-L)
- 2752-9827
- OpenAlex
- W4381277798
- Cited by
- 238
- References
- 26
- Citations by year
- 2026: 28 · 2025: 92 · 2024: 98 · 2023: 20
- FWCI
- 56.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Management & Sustainability An Arab Review (publishedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, generative AI in education, personalized learning, automated assessment, content creation, AI ethics, algorithmic bias, responsible AI use, higher education, adaptive learning, skill development
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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