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TRV-2026-0372Certified recordPeer-reviewed

Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy

As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is essential for responsible adoption. This study evaluates the Educational AI Hub, an AI-powered learning framework, implemented in undergraduate civil and environmental engineering courses at a large R1 public university. Using a mixed-methods design combining pre- and post-surveys, system usage logs, and qualitative analysis of students' AI interactions, the research examines perce…

Education · G Space — documented gain · certified 2026-07-20 · v1 · article view · machine-readable

Current reading — gain

Students in civil and environmental engineering courses reported greater accessibility and comfort using the Educational AI Hub, with nearly half finding it easier than asking instructors, and found it helpful for homework and concept understanding.

What this doesn’t fix

Findings are bounded by small scale and context: only 71 students across two civil and environmental engineering courses at one R1 university, and mixed views on instructional quality.

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Truvace Impact Record TRV-2026-0372, v1: “Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy.” Truvace, 2026-07-20. /record/TRV-2026-0372 (accessed at citation time). sha256 d9908ebffb58fb43…

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