LLMs generate lower-quality STEM explanations for marginalized student profiles in Indian and American contexts, with intersectional compounding producing gaps of up to 2.55 grade levels.
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2 Pith papers cite this work. Polarity classification is still indexing.
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A self-regulated GenAI contract changed thinking for 58% of 217 students but did not produce sustained behavior change because maintaining personal guidelines required ongoing self-control that many could not sustain under pressure.
citing papers explorer
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Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education
LLMs generate lower-quality STEM explanations for marginalized student profiles in Indian and American contexts, with intersectional compounding producing gaps of up to 2.55 grade levels.
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Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education
A self-regulated GenAI contract changed thinking for 58% of 217 students but did not produce sustained behavior change because maintaining personal guidelines required ongoing self-control that many could not sustain under pressure.