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Beskrivning
Whether the objective is to refine comprehension of online learning engagement dynamics or to deploy AI-infused strategies in educational settings, this text serves as an invaluable resource for revolutionizing education with AI.
Zhi Liu is the PI of affective computing research group, associate researcher and doctoral supervisor at the National Engineering Research Center of Educational Big Data, Central China Normal University. His focuses include Educational Psychology, Learning Analytics and Educational Data Mining. He was a guest researcher at the Institute of Computer Science of Humboldt University of Berlin from 2017 to 2018. He is an expert for National Graduate Education Evaluation and Monitoring, an evaluation expert of the National Natural Science Foundation and an evaluation expert for Hubei Provincial Department of Science and Technology, and the leader of the National Science and Technology Innovation 2030 Major Project and National Natural Science Foundation.Yao Xiao is a research assistant at the National Engineering Research Center for Big Data Education, Central China Normal University. He graduated from Wollongong Joint Research Institute of Central China Normal University with a master's degree in Computer science. His research interests include personalized conversation generation, data mining, and natural language processing.
Innehållsförteckning
Chapter 1 Overview of Learning Engagement Research.- Chapter 2 Literature Review of Learning Engagement Research.- Chapter 3 Intelligent Recognition of Learning Engagement.- Chapter 4 Relationship Between Learning Engagement and Outcomes.- Chapter 5 Adaptive Interventions in Learning Engagement.- Chapter 6 Prospects and Challenges in AI-Enabled Learning Engagement.