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Across 26 studies, AI supported reflection and feedback in some settings, while uncritical reliance was associated with reduced analytical engagement and weaker checking of information.
Participants preferred plans and decomposed explanations, but simpler step-by-step traces often better supported verification. Some preferred formats increased false alarms or encouraged trust without corresponding willingness to check.
Students accepted incorrect AI recommendations on 62.4% of relevant trials with open ChatGPT support, compared with 39.7% when a reflection prompt preceded their final answer. Reflection also improved awareness of reliance.
Does asking students to pause and examine AI advice help them resist plausible mistakes? A randomized experiment with 342 undergraduates compared independent work, open ChatGPT support and ChatGPT with a reflection prompt. Students completed reasoning and…
Does asking students to pause and examine AI advice help them resist plausible mistakes? A randomized experiment with 342 undergraduates compared independent work, open ChatGPT support and ChatGPT with a reflection prompt. Students completed reasoning and…
How can an AI tutor help without taking over? CoMeT increases assistance when a learner struggles with a specific decision, then reduces it when the learner responds. In a study of 131 adults completing three Python tasks, researchers compared it with an…