AIEDHKAI in Education Hub of Knowledge
홈미션뉴스아카데미소개
홈미션뉴스아카데미소개
← 연구 뉴스로 돌아가기

#learning dashboard

learning dashboard

1 논문

A diverse computer science class uses a learning dashboard to record self-assessments and discuss algorithms with a teacher and an AI dialogue panel
저널 논문2026
저널 논문 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
500단어 요약 읽기 →
AIEDHKAI in Education Hub of Knowledge

AIEDHK는 AI 교육 연구, 개발, 책임 있는 학습 혁신을 위한 다국어 지식 허브입니다.

탐색

홈미션뉴스아카데미소개

생태계 링크

Dr. Peter Hu DongpinPedaNova TechnologyMAISCAIS
© 2026 AIEDHK. 모든 권리 보유.