【講題】Learning, fast and slow: Fostering learner agency with learning sciences-informed AIED
【講者】陳文莉/新加坡南洋理工大學國立教育學院教授
【時間】115年09月24日（星期四）下午1:20-3:10
【地點】本校第二綜合大樓B側4樓410視訊會議室

【講者簡介】
陳文莉教授現任新加坡南洋理工大學國立教育學院研究事務處副院長，是學習科學與教育人工智慧領域的國際知名學者，專長涵蓋電腦支持協作學習（CSCL）、多模態學習分析（MMLA）及以人為中心的教育 AI（AIED）。現任 《Journal of Computers in Education》 與 《Learning: Research and Practice》總編輯，曾獲亞太電腦教育學會（APSCE）傑出研究學者獎及多項國際最佳論文獎。

Professor CHEN Wenli is the Associate Dean of Office for Research at National Institute of Education (NIE), Nanyang Technological University (NTU) Singapore. She is co-chairing NIE’s Emerging Technologies Strategic Growth Area, and AIED@NIE. She specializes in computer-support collaborative learning (CSCL), multi-modal leanring analytics (MMLA), and human-centered AI for education (AIED). She has been invited as the keynote speaker for many international conferences. She has won a dozen Best Paper Awards from international conferences. The Asia-Pacific Society for Computers in Education presented her with the Distinguished Researcher Award. She received the "Excellence in Research Commendation" "Excellence in Teaching Commendation", and the "Nanyang Education Award" from NIE/NTU.
Professor Chen serves as the Editor-in-Chief for both the Journal of Computers in Education, and Learning: Research and Practice. She also serves as an Associate Editor for Instructional Science, and Research and Practice in Technology Enhanced Learning. 
Professor Chen serves on the Board of Directors of the International Society of the Learning Sciences (ISLS). She also served as co-chair of the CSCL Community Committee of the International Society of the Learning Sciences from 2016 to 2021. She is the executive committee member of the Asia Pacific Society of Computers in Education (APSCE) and the Global Chinese Society of Computers in Education (GCSCE). 
 

【演講摘要】
隨著人工智慧快速發展，教育正面臨重新思考學習本質的契機。本演講將區辨「AI 用於學習（AI for Learning）」與「AI 用於表現（AI for Performance）」，主張教育 AI 的設計不應僅追求快速答案與效率，而應支持需要投入思考的深度學習歷程。從學習科學觀點出發，陳文莉教授將分享其實證研究與以人為中心的教育 AI 設計案例，探討如何透過 AI 增強學習者的自主性、自我調節、批判思考與後設認知能力，並強調在人機協作的學習環境中，深度認知投入與學習者自主性的關鍵價值。

As AI continues to evolve at an unprecedented pace, the educational landscape is being transformed in ways that challenge traditional learning paradigms. This keynote talk will address the intersection of rapid AI advancements and the nuanced, reflective nature of human learning. It will discuss the distinction between AI for learning and AI for performance, urging AIED designers to prioritize genuine “slower” effortful learning processes over “faster” learning outcomes and solutions.

From a learning science perspective, Prof. Chen Wenli will examine how AI-augmented learning environments can be designed not just as tools for quick answers, but as cognitive partners that enhance human agency, foster self-regulation, critical thinking, and metacognitive skills. Drawing on her empirical research, Prof. Chen will share human-centric AIED designs to enhance their cognitive and regulatory capacities, rather than undermining them. This talk advocates a shift in focus from efficiency (faster) to meaningful learning (slower), highlighting the importance of human learners’ deep cognitive engagement and agency in human-AI collaboration for learning. 

【備註】所外人士可至現場聆聽，謝謝。