Potentials and Challenges of AI in STEM Education: A Literature Review
Published:
Apr 19, 2026
Keywords:
artificial intelligence STEM education PRISMA 2020 statement
Abstract
The integration of artificial intelligence (AI) in STEM education is an innovative approach, requiring the integration of complex AI techniques and educational approaches. Following the PRISMA 2020 methodology and utilizing the Google Scholar database, this systematic review examines the convergence of STEM and AI to analyze trends, applications, and impacts. The results highlight the potential of AI in combination with STEM education to personalize learning, as well as the challenges for teachers in developing appropriate pedagogical approaches. In conclusion, this study adds to the literature by providing guidelines for future research and educational practices in integrating AI into STEM education.
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- Προφορικές Ανακοινώσεις
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References
Booth, A., Sutton, A., Clowes, M., & Martyn-St James, M. (2021). Systematic approaches to a successful literature review. Sage. ISBN 978-1529711844
Bramer, W. M., De Jonge, G. B., Rethlefsen, M. L., Mast, F., & Kleijnen, J. (2018). A systematic approach to searching: an efficient and complete method to develop literature searches. Journal of the Medical Library Association: JMLA, 106(4), 531. https://doi/10.5195/jmla.2018.283
Butler, A., Hall, H., & Copnell, B. (2016). A guide to writing a qualitative systematic review protocol to enhance evidence‐based practice in nursing and health care. Worldviews on Evidence‐Based Nursing, 13(3), 241-249. https://doi.org/10.1111/wvn.12134
Chaudhry, M. A., & Kazim, E. (2022). Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2(1), 157-165. https://doi.org/10.1007/s43681-021-00074-z
Chiu, T. K., & Li, Y. (2023). How can emerging technologies impact STEM education?. Journal for STEM Education Research, 6(3), 375-384. https://doi.org/10.1007/s41979-023-00113-w
Chng, E., Tan, A. L., & Tan, S. C. (2023). Examining the use of emerging technologies in schools: A review of artificial intelligence and immersive technologies in STEM education. Journal for STEM Education Research, 6(3), 385-407. https://doi.org/10.1007/s41979-023-00092-y
Ertel, W. (2024). Introduction to artificial intelligence. Springer Nature.
Gehanno, J. F., Rollin, L., & Darmoni, S. (2013). Is the coverage of Google Scholar enough to be used alone for systematic reviews. BMC medical informatics and decision making, 13, 1-5. https://doi.org/10.1186/1472-6947-13-7
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 1-23. https://doi.org/10.1007/s40593-021-00239-1
Joseph, O. B., & Uzondu, N. C. (2024). Integrating AI and Machine Learning in STEM education: Challenges and opportunities. Computer Science & IT Research Journal, 5(8), 1732-1750.
Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311. https://doi.org/10.1080/17439884.2020.1754236
Linares-Espinós, E., Hernández, V., Domínguez-Escrig, J. L., Fernández-Pello, S., Hevia, V., Mayor, J., Padilla-Fernández, B. & Ribal, M. J. (2018). Methodology of a systematic review. Actas Urológicas Españolas (English Edition), 42(8), 499-506. https://doi.org/10.1016/j.acuroe.2018.07.002
Luckin, R., Cukurova, M., Kent, C., & Du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100076
Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. https://discovery.ucl.ac.uk/id/eprint/1475756
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., Stewart, L. A., Thomas, J., Tricco, A. C., Welch, V. A., Whiting, P., & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pane, J. F., Griffin, B. A., McCaffrey, D. F., & Karam, R. (2014). Effectiveness of cognitive tutor algebra I at scale. Educational Evaluation and Policy Analysis, 36(2), 127-144. https://doi.org/10.3102/0162373713507480
Petticrew, M., & Roberts, H. (2008). Systematic reviews in the social sciences: A practical guide. John Wiley & Sons. ISBN:9781405121101. https://doi.org/10.1002/9780470754887
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International journal of artificial intelligence in education, 26, 582-599. https://doi.org/10.1007/s40593-016-0110-3
Selwyn, N. (2019). Should robots replace teachers?: AI and the future of education. John Wiley & Sons. ISBN: 978-1-509-52896-7
Triplett, W. J. (2023). Artificial intelligence in STEM education. Cybersecurity and Innovative Technology Journal, 1(1), 23-29. https://doi.org/10.53889/citj.v1i1.296
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235. https://doi.org/10.1080/17439884.2020.1798995
Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education, 9(1), 59. https://doi.org/10.1186/s40594-022-00377-5
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International journal of educational technology in higher education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
Zhai, X., & Krajcik, J. (Επιμ.). (2024). Uses of artificial intelligence in STEM education. Oxford University Press.
Zhang, L., Qu, J., & Zhang, Z. (2024). The Impact of Personalized Learning Driven by Artificial Intelligence on STEM Education in Primary and Secondary Schools. International Journal of New Developments in Education, 6(10). https://doi.org/10.25236/IJNDE.2024.061005