aceAI Tutors, Worksheets, and Task Design: Matching AI Tools to Learning Structure
Artificial intelligence is increasingly used by students as a learning resource in STEM courses. However, classroom observations and survey data suggest that unstructured AI use may correlate with reduced student achievement. Two concerns are especially relevant: AI systems can produce incorrect responses in tasks requiring precise validation, and students may use AI in ways that reduce active engagement with course material. This session presents two instructional approaches designed to address these limitation…
Classroom observations and survey data suggest that unstructured AI use in STEM courses may correlate with reduced student achievement, partly through incorrect AI answers and lower active engagement.
The evidence comes from a session abstract describing development and testing primarily in introductory chemistry, with correlational observations and no reported outcome data, so effects and transfer to other subjects remain unestablished.
Evidence
- Peer-reviewedDigital Scholarship - UNLV (University of Nevada Reno)2026-10-16
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Truvace Impact Record TRV-2026-1400, v1: “AI Tutors, Worksheets, and Task Design: Matching AI Tools to Learning Structure.” Truvace, 2026-10-15. /record/TRV-2026-1400 (accessed at citation time). sha256 8fd2cd9631b2196c…
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