Tianyong Hao (ed.); Junjie Gavin Wu (ed.); Xiangfeng Luo (ed.); Yan Sun (ed.); Yuanyuan Mu (ed.); Shili Ge (ed.); Wen Xie Springer (2025) Pehmeäkantinen kirja
Ritse M. Mann (ed.); Tianyu Zhang (ed.); Tao Tan (ed.); Luyi Han (ed.); Danial Truhn (ed.); Shuo Li (ed.); Yuan Gao (ed.) Springer (2025) Pehmeäkantinen kirja
This book constitutes the revised selected papers of the 9th International Symposium on Emerging Technologies for Education, SETE 2024, held in Shanghai, China, during November 26–28, 2024.
The 21 full papers presented in this book were carefully reviewed and selected from 45 submissions. The contributions cover the latest findings in various areas, such as Artificial Intelligence in Education, Big Data Driven Education, Informal Learning in the Workplace, Data Driven Decision Making in Education, User/Student/Teacher Modeling, Learning Analytics, Modeling Complex Learning Processes with Multi-Channel Learning Data, Educational Technology and ICT for Education, Assessment in Technology Enhanced Learning, and Inclusive Education. The conjunct events also feature 3 distinguished keynote presentations and 3 workshops, which cover a wide range of topics, such asGenerative Artificial Intelligence in Education, Educational Technology and Cognitive Neuroscience for Language Learning, and Digitalization in Language and Cross-Cultural Education.
