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AIED 저널과 학회 논문을 선별한 피드입니다. 각 카드는 간결한 개요를 제공하고, 상세 페이지는 500단어 요약과 실천적 시사점을 제공합니다.
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8 논문
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Peter Hu, Mei Ling Ho, Jonathan Reed
Asia-Pacific AIED Innovation Workshop
This mock workshop paper frames Hong Kong as a living lab for AIED, connecting global research, bilingual education contexts, school pilots, and product innovation.
Maya Chan, Leonard Brooks, Sofia Patel, Daniel Kim
International Journal of Artificial Intelligence in Education
This paper studies how adaptive AI tutors can be designed for live classroom use, not only for individual practice. It highlights teacher dashboards, curriculum alignment, and feedback loops that keep teachers in control.
Hannah Lau, Peter Morales, Aisha Nguyen
AIED 2025
The paper identifies co-design patterns for teacher-facing AI tools, emphasizing professional agency, explainability, and safe automation boundaries in classroom workflows.
Rui Zhang, Elena Rossi, Marcus Hill, Tsz Wai Wong
Learning Analytics and Knowledge Conference
This study reviews multimodal data streams for understanding collaborative learning, including speech, gesture, gaze, shared artifacts, and interaction logs.
Claire Evans, Jun Wei, Nora Singh
Computers & Education: Artificial Intelligence
The paper proposes a practical evaluation framework for generative AI feedback in writing and STEM tasks, focusing on usefulness, correctness, tone, and learning alignment.
Oliver Chen, Fatima Rahman, Grace Li, Samuel Ortiz
Review of Educational Technology Research
This review maps how large language models are being used in AI education research, including tutoring, feedback, content generation, assessment, and teacher support.