Learning AI Without a STEM Background: Mixed-Methods Evidence from a Diverse, Mixed-Cohort AIED Program
Despite growing interest in AI education, most AIED initiatives remain narrowly targeted toward STEM-prepared students, limiting participation by non-STEM learners and adults seeking to engage with AI in public-interest, policy, or workforce contexts. This paper presents and evaluates an NSF-funded, innovative mixed-cohort AI education model that intentionally integrates non-STEM undergraduates and adult learners into a shared learning environment centered on ethical reasoning, socio-technical j
Record details
Published: 27 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Jobs & economy · Children & education · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (27 March 2026), “Learning AI Without a STEM Background: Mixed-Methods Evidence from a Diverse, Mixed-Cohort AIED Program,” evidence record 6684, https://ethics.ai/record/6684 (originally published by arXiv).
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