Generative Artificial Intelligence‐Assisted STEM Education: A Systematic Review and Future Research Agenda

ABSTRACT As generative artificial intelligence (GenAI) gains popularity, there is still a significant gap in understanding its potential to enhance STEM education. To address this gap, we conducted a systematic review of 55 studies through the lens of the five‐dimensional technology‐based learning framework (devices, domains, methods, participants and research issues). Following PRISMA guidelines, we extracted and coded each paper's GenAI tool, subject area, methodology, participant profile, sample size, and the reported benefits and barriers. The majority of articles focused on GenAI‐assisted science education, followed by technology education, while research on engineering, mathematics and integrated STEM…