Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda

Title:Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda

Abstract:STEM education faces challenges in personalization and interdisciplinary integration. AI technology has brought new possibilities, but the mechanisms by which AI reshapes the STEM education ecosystem require systematic investigation. This study employs bibliometric methods to analyze 242 publications from 2015-2025, constructing knowledge maps to reveal the evolutionary trajectory. The findings show that the field has transformed from intelligent tutoring systems to inquiry-based learning and computational thinking cultivation driven by LLMs. AI's key contribution lies in providing intelligent scaffolding that lowers the threshold for understanding knowledge. In this sense, AI is a core driving force promoting its shift from knowledge transmission to capability development.

Computers and Society (cs.CY); Artificial Intelligence (cs.AI)

arXiv:2607.05412 [cs.CY]

(or arXiv:2607.05412v2 [cs.CY] for this version)

https://doi.org/10.48550/arXiv.2607.05412 Focus to learn more arXiv-issued DOI via DataCite

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.