Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda
arXiv:2607.05412v1 Announce Type: cross 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. A
The proliferation of advanced AI, particularly Large Language Models, is enabling new paradigms in education, prompting systematic analysis of its impact.
AI's integration into STEM education can significantly enhance personalization and interdisciplinary learning, impacting future workforce capabilities and intellectual capital.
The educational landscape is shifting from traditional tutoring to more inquiry-based and computational thinking models, driven by adaptive AI technologies.
- · AI education technology providers
- · Students in STEM
- · Educational researchers
- · Developing nations with education deficits
- · Traditional rote learning institutions
- · Educators resistant to technological integration
Increased adoption of AI tools in STEM curricula globally.
Improved STEM literacy and innovation capabilities in countries that effectively integrate these technologies.
Widening gap in skill development between nations with and without access to advanced AI-driven educational resources.
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Read at arXiv cs.AI