Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy
Ramteja Sajja; Yusuf Sermet; Brian Fodale; İbrahim Demir · 2026 · Scientific Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
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…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1038/s41598-026-39237-5