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Uedu 平台上的功能不是憑空設計，而是源自教學現場的真實需求，並透過嚴謹的學術研究驗證成效。我們邀請每一位教師放心使用，也歡迎將您的教學實驗回饋給我們。
每項功能都對應至少一篇經過同儕審查的學術論文，發表於 IEEE、LAK 等國際會議
研究源自真實課堂中的教學需求，從 Python 程式設計到跨領域通識課程
您的教學實踐也能成為研究，Uedu 提供完整的研究支援，從實驗設計到資料匯出
Enhancing Academic Performance with Generative AI-Based Quiz Platform
C.-K. Chang and L.-C.-T. Chien
Developing AI-Based Automated Post-Rating System to Scaffold Interdisciplinary Knowledge-Sharing
C.-K. Chang, P.-C. Chen, Z.-S. Chen, and T. M. Kuo
Analysis of a Generative AI-Based Graphical Learning Assistance Tool in IPR Courses
C.-C. Yen, P.-T. Hsieh, Y.-C. Chen, and C.-K. Chang
A Generative Artificial Intelligence-Based Python Learning Assistance System: Assessing Its Impact on Instrument Automation Skills
K. S. Phay and C.-K. Chang
Correlation Analysis of Conversational Focus with Learning Experience in Python Courses
C.-C. Yen, Y.-Y. Chang, Y.-Z. Chai, P.-T. Hsieh, K.-H. Li, and C.-K. Chang
Evaluating Cognitive Performance Through Prompt-Based Methods Using LLM in Education
E. N. Furqon and C.-K. Chang
Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories
Y.-H. Chen, J.-S. Huang, J.-Y. Hung, and C.-K. Chang
Designing an Educational Omics Data Lake: A Multimodal Infrastructure for Technology-Enhanced Learning
C.-K. Chang and K.-H. Li
From Wearables to Classrooms: Assessing HRV-Based Physiological Monitoring for Learning Analytics
C.-K. Chang, K.-H. Li, C.-L. Cheng, and T.-C. Lin
Did You Lose Them? Predicting the Exact Moment of Disengagement via Multimodal VLM Classroom Orchestration in Education
Validation of Natural Language–Based Educational Digital Twins through Embedding Geometry in Python Courses
Y.-C. Chien, C.-C. Yen, and C.-K. Chang
Temporal Lag Effects in Multimodal Learning Analytics: Physiological–Behavioral Characterization
Y.-Y. Chang, Y.-Z. Chai, and C.-K. Chang
Collaborative Reasoning Framework for Edge-Deployable EEG Sleep Staging via Local LLM
C.-L. Cheng, T.-C. Lin, and C.-K. Chang
我們提供完整的研究支援：從 IRB 申請、實驗設計到資料匯出，讓您的教學實踐也能成為有影響力的學術研究。
