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Cited by 317Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

The effects of artificial intelligence applications in educational settings: Challenges and strategies

Open access
Ali, Omar, Murray, Peter A., Momin, Mujtaba, Dwivedi, Yogesh K., Malik, Tegwen·2024·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2023.123076
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Abstract

With the continuous intervention of AI tools in the education sector, new research is required to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical methods of instruction. The current manuscript explores the cumulative published literature to date in order to evaluate the key challenges that influence the implications of adopting AI models in the Education Sector. The researchers' present works both in favour and against AI-based applications within the Academic milieu. A total of 69 articles from a 618-article population was selected from diverse academic journals between 2018 and 2023. After a careful review of selected articles, the manuscript presents a classification structure based on five distinct dimensions: user, operational, environmental, technological, and ethical challenges. The current review recommends the use of ChatGPT as a complementary teaching-learning aid including the need to afford customized and optimized versions of the tool for the teaching fraternity. The study addresses an important knowledge gap as to how AI models enhance knowledge within educational settings. For instance, the review discusses interalia a range of AI-related effects on learning from the need for creative prompts, training on diverse datasets and genres, incorporation of human input and data confidentiality and elimination of bias. The study concludes by recommending strategic solutions to the emerging challenges identified while summarizing ways to encourage wider adoption of ChatGPT and other AI tools within the education sector. The insights presented in this review can act as a reference for policymakers, teachers, technology experts and stakeholders, and facilitate the means for wider adoption of ChatGPT in the Education sector more generally. Moreover, the review provides an important foundation for future research.

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  • Ali et al. highlight gaps including a lack of comprehensive understanding of GenAI's long-term effects on learning outcomes and a need for more studies on the effectiveness of GenAI tools across diverse educational settings and disciplines.

    “Ali, Murray [75] also highlight several gaps including a lack of comprehensive understanding of GenAI’s long-term effects on learning outcomes and a need for more studies on the effectiveness of GenAI tools across diverse educational settings and disciplines.”

    From Generative AI in Higher Education: Balancing Innovation and Integrity (2025) · cites this paper as Ali, Murray [75]

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Authors
Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T.
Affiliations
  • University of Southern Queensland (AU)
  • American University of the Middle East (KW)
  • Symbiosis International University (IN)
  • Swansea University (GB)
Corresponding author
Dwivedi, Yogesh K.
ORCID
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2024-02
Volume
199
Pages
123076
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2023.123076
OpenAlex
W4389719314
Cited by
317
References
31
Citations by year
2026: 110 · 2025: 151 · 2024: 55 · 2020: 1
FWCI
74.16
Type
journal article
Language
en
Open access
Licence
Locations
  • Technological Forecasting and Social Change (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (publishedVersion)
  • Cronfa (Swansea University) (submittedVersion, cc-by)
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 › Artificial Intelligence Applications
Keywords
artificial intelligence in education, ChatGPT, AI adoption barriers, ethical challenges of AI, data confidentiality, algorithmic bias, human-AI collaboration, AI in teaching

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