Problem
Research questions and friction points this paper is trying to address.
STEM education
personalization
interdisciplinary integration
AI in education
educational ecosystem
Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda
🤖 AI Summary
This study addresses the persistent challenges in STEM education—namely, insufficient personalization and difficulties in interdisciplinary integration—by conducting a bibliometric analysis of 242 publications from 2015 to 2025. Integrating knowledge graph construction, scientometrics, and text mining, the research systematically traces the evolution of AI-enhanced STEM education, revealing a paradigm shift from intelligent tutoring toward inquiry-based learning and computational thinking development. It further elucidates, for the first time, how large language model–driven “intelligent scaffolding” lowers cognitive barriers, thereby serving as a pivotal mechanism that transitions STEM education from knowledge transmission to competence cultivation. Building on these insights, the study proposes a forward-looking research agenda to guide future scholarship in this emerging domain.
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
bibliometric analysis
AI in STEM education
large language models
intelligent scaffolding
computational thinking
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
