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AI and SEL research shows major policy deficit, study finds

By PulseAugur Editorial · [1 sources] ·

A new paper published on arXiv highlights a significant "policy deficit" in research at the intersection of artificial intelligence (AI) and social-emotional learning (SEL). The review of 65 papers found that nearly three-quarters failed to mention policy implications, often falling into a "techno-solutionist" trap by focusing on technical potential without addressing responsible implementation. The authors propose a shift towards integrating policy considerations as a core methodology, offering guidelines for researchers and policymakers to bridge the gap between AI innovation and educational governance. AI

IMPACT Highlights a critical gap in translating AI innovation into actionable educational policy and practice.

RANK_REASON The item is a research paper published on arXiv discussing policy implications in AI and social-emotional learning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI and SEL research shows major policy deficit, study finds

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The item is a research paper published on arXiv discussing policy implications in AI and social-emotional learning. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tran Van Cuong, Liu Yihan, Nguyen Van Tuong ·

    The Policy Deficit in AI x Social-Emotional Learning Research

    arXiv:2608.29950v1 Announce Type: cross Abstract: As artificial intelligence (AI) is increasingly integrated into social-emotional learning (SEL) initiatives, the need for evidence-based policy has become paramount. We systematically reviewed 65 peer-reviewed papers that examine …

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