Adult learners emphasize human-in-the-loop AI design that keeps final learning decisions with learners and instructors¶

Claim · All claims
Evidence · 1 study · qualitative r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Adult learners perceived human-in-the-loop design, integrating learner and instructor expertise into AI system lifecycles, as critical for effective and pedagogically relevant PF-based learning tools. → Jinhee Kim 2026

Evidence¶

Jinhee Kim 2026¶

Jinhee Kim, Xi Lin, Seongryeong Yu, Rita Detrick. (2026). Designing AI systems to support a productive-failure-based learning: insights from adult learners on AI applications and AI system design principles. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10655-6

q2 · i? · qualitative · r?

Within the human-AI collaboration theme of the focus group findings, participants argued for human-in-the-loop approaches in which AI models, which can be flawed and lack contextual nuance, are refined by human feedback from learners and instructors.

"Rather than letting AI provide a final answer, HITL design can use AI as a tool to allow ALs to identify potential areas for improvement in their learning process and tasks and make the final decisions themselves"

Discussion¶

Related Claims¶

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