An Introduction to Artificial Intelligence in Education

Chapter 1: Background.- Chapter 2: Basics of Artificial Intelligence.- Chapter 3: Intelligent Education Environment.- Chapter 4: Intelligent Learning Process Support.- Chapter 5: Intelligent Teacher Assistant.- Chapter 6: Intelligent Education Assessment.- Chapter 7: Intelligent Education Management and Service.- Chapter 8: Frontiers and Future of AI in Education.

Shengquan Yu received his Ph.D. in Educational Technology from Beijing Normal University (BNU). He is currently a Professor at BNU, and serves as executive director of the Advanced Innovation Center for Future Education, as well as the director of the Joint Laboratory for Mobile Learning, funded by the Ministry of Education and China Mobile Communications Corporation. His research interests mainly lie in mobile education and ubiquitous learning, key technologies for online learning platforms, regional education, informationization, education and big data, information technology and curriculum integration.
Yu Lu received his Ph.D. in Computer Engineering from the National University of Singapore. He is currently an Associate Professor at the Faculty of Education, Beijing Normal University (BNU), where he also serves as director of the artificial intelligence lab at the advanced innovation center for future education. He has published more than 50 academic papers in prominent journals and conference proceedings. Before joining BNU, he was a research scientist and principle investigator at the Institute for Infocomm Research (I2R), A*STAR, Singapore. His current research interests lie at the intersection of artificial intelligence and educational technology.