This book includes a collection of expanded papers from the 2019
Sino-German Symposium on AI-supported educational technologies, which
was held in Wuhan, China, March, 2019. The contributors are
distinguished researchers from computer science and learning science.
The contributions are organized in four sections: (1) Overviews and
systematic perspectives, (2) Example Systems, (3) Algorithms, and (4)
Insights gained from empirical studies. For example, different data
mining and machine learning methods to quantify different profiles of a
learner in different learning situations (including interaction
patterns, cognitive modes, knowledge skills, interests and emotions
etc.) as well as connections to measurements in psychology and learning
sciences are discussed in the chapters.