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#self-assessment

self-assessment

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A diverse computer science class uses a learning dashboard to record self-assessments and discuss algorithms with a teacher and an AI dialogue panel
जर्नल पेपर2026
जर्नल पेपर 76

An eliciting LLM dashboard prompted more reflective dialogue and showed a trend toward stronger learning-judgment calibration

Laura Graf, Patrick Bassner, Maximilian Anzinger, Felix Dietrich, Stephan Krusche, Oleksandra Poquet

Education and Information Technologies

A five-week exploratory study with 30 computer-science students compared no agent, a telling LLM agent and an eliciting agent inside a learning dashboard. The eliciting condition produced more reflective messages and showed descriptive trends toward clearer relationships between self-judgments and mastery estimates, but the study did not test achievement gains.

learning analyticsLLM pedagogical agentlearning dashboard
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AIEDHKAI in Education Hub of Knowledge

AIEDHK शिक्षा में AI शोध, विकास और जिम्मेदार सीखने के नवाचार के लिए बहुभाषी ज्ञान केंद्र है।

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होममिशनसमाचारअकादमीपरिचय

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