AI and STEM Is it Possible to Merge the Two Worlds? Determinants and Perspectives


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Authors

DOI:

https://doi.org/10.51724/hjstemed.v4i1.58

Keywords:

AI, Education, Generative AI, STEM, TPACK

Abstract

Over the last three decades, discussions, rhetoric, recommendations have proposed numerous suggestions for the  integration of AI in Education (AI Ed). Research on AI Ed focuses on its goals, how it is applied in teaching and learning sequences, how it is perceived by teachers and students as well as by policy makers. Other issues closely related to AI Ed are: a) the difficulty in defining AI due to the interdisciplinary nature of the field, b) the possibility of AI Ed for learning that is more adaptive, inclusive, and engaging, c) the effective encompassment of assessment, d) the predictive tools AI Ed provides, e)  the relation of TPACK with generative AI, f) the epistemology of STEM with the impact of AI, and also g) ethics considerations.

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References

Baker, R.S. (2016). Stupid Tutoring Systems, Intelligent Humans. International Journal of Artificial Intelligence in Education, 26(2), 600–614. https://doi.org/10.1007/s40593-016-0105-0

Bhatnagar, S. et al. (2018). Mapping Intelligence: Requirements and Possibilities. In: Müller, V. (eds) Philosophy and Theory of Artificial Intelligence 2017. PT-AI 2017. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-319-96448-5_13

Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education, 10, 29. https://doi.org/10.1186/s40594-023-00418-7

Dirkin, K. & Mishra, P. (2010). Values, Beliefs, and Perspectives: Teaching Online within the Zone of Possibility Created by Technology. In D. Gibson & B. Dodge (Eds.), Proceedings of SITE 2010--Society for Information Technology & Teacher Education International Conference (pp. 3811-3817). San Diego, CA, USA: Association for the Advancement of Computing in Education (AACE). Retrieved December 30, 2025 from https://www.learntechlib.org/primary/p/33974/.

EDUCAUSE (2018). Horizon report: 2018 higher education edition. Retrieved from EDUCAUSE Learning Initiative and The New Media Consortium website: Retrieved December 30, 2025 from https://library.educause.edu/~/media/files/library/2018/8/2018horizonreport.pdf

Feigenbaum, E.A., & Feldman, J. (1963). Computers and thought. McGraw-Hill.

Li, S., Zeng, C., Liu, H. et al. (2025). A meta-analysis of AI-enabled personalized STEM education in schools. International Journal of STEM Education, 12(1), 58. https://doi.org/10.1186/s40594-025-00566-y

Mishra, P., Warr, M., & Islam, R. (2023) TPACK in the age of ChatGPT and Generative AI, Journal of Digital Learning in Teacher Education, 39:4, 235-251, https://doi.org/10.1080/21532974.2023.2247480

Monett, D., and Lewis, C.W. P. 2018. Getting clarity by defining Artificial Intelligence - A Survey. In Müller, V. C., ed., Philosophy and Theory of Artificial Intelligence 2017. Berlin: Springer. pp.212–214.

Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021a). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021b). Conceptualizing AI literacy: An exploratory review. Computers & Education: Artificial Intelligence, 2, Article 100041. https://doi.org/10.1016/j.caeai.2021.100041

NGSS Lead States. (2013). Next Generation Science Standards: For states, by states – Performance expectations and assessment rubrics. The National Academies Press. https://www.nextgenscience.org

Russell, S. (2021). The history and future of AI. Oxford Review of Economic Policy, 37(3), 509–520. https://doi.org/10.1093/oxrep/grab013

Russell, S., & Norvig, P. (2021). Artificial Intelligence, Global Edition: A Modern Approach. Pearson Deutschland.

Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers & Education: Artificial Intelligence, Article 100049. https://doi.org/10.1016/j.caeai.2022.100049

Turing, A.M. (2009). Computing Machinery and Intelligence. In: Epstein, R., Roberts, G., Beber, G. (eds) Parsing the Turing Test. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6710-5_3

Vorobyeva, K. I., Belous, S., Savchenko, N. V., Smirnova, L. M., Nikitina, S. A., & Zhdanov, S. P. (2025). Personalized learning through AI: Pedagogical approaches and critical insights. Contemporary Educational Technology,17(2), ep574. https://doi.org/10.30935/cedtech/16108

Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. Retrieved December 30, 2025 from https://cis.temple.edu/tagit/publications/PAGI-TR-9.pdf

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2023). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 20, Article 11. https://doi.org/10.1186/s41239-019-0171-0

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Published

2025-12-30

How to Cite

Psycharis, S. (2025). AI and STEM Is it Possible to Merge the Two Worlds? Determinants and Perspectives . Hellenic Journal of STEM Education, 4(1), 11–12. https://doi.org/10.51724/hjstemed.v4i1.58