Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us
暫譯: 與生成式人工智慧的學習：實證研究告訴我們什麼
Fan, Yizhou
相關主題
商品描述
This book delves into the core of education's digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)'s impact beyond the theoretical and fragmented insights prevalent in current discourse.
Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAI's educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.
This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas.
作者簡介
Yizhou Fan is an Assistant Professor at the Graduate School of Education, Peking University and an Adjunct Research Fellow at the Centre for Learning Analytics, Monash University. He identifies himself as a learning analyst employing computational techniques to enhance the understanding of self-regulated learning and to develop next-generation learning environments for envisioning future education. In 2023, he received the Emerging Scholars Award and Early Career Research Grant from SoLAR (The Society for Learning Analytics Research). His recent research focuses on human-AI collaboration and the scaffolding of hybrid intelligence.
作者簡介(中文翻譯)
范怡舟是北京大學教育學院的助理教授，以及莫納什大學學習分析中心的兼任研究員。他自我定位為學習分析師，運用計算技術來增進對自我調節學習的理解，並開發下一代學習環境，以展望未來教育。在2023年，他獲得了SoLAR（學習分析研究協會）的新興學者獎和早期職業研究獎助金。他最近的研究專注於人類與人工智慧的合作以及混合智慧的支架搭建。
