This book collects papers on education quality assessment based on AI technology and introduces the latest research direction and progress of AI technology in the field of education and teaching, including classroom teaching quality assessment, online education quality assessment, teaching reflection quality assessment, etc. This book promotes the application of artificial intelligence technology in the field of education and teaching, effectively improving the quality of education and teaching. Researchers in artificial intelligence technology, teachers, students, and others benefit from this book.
A review of content analysis on China Artificial Intelligence
AIeducation policies.- Analyzing policy documents of labor education and
study tour in China.- Classroom Teaching Behavior Analysis Based On
Artificial Intelligence.- Research on the Control of Redundancy Effect of
Decorative Icons in Instructional PPT.- Research on the Influence of Quantity
and Emotion of Danmaku in Online Instructional Video on Learning.- Cluster
Analysis of College Students Online Classes Experience.- Study in
Intelligent Exam Based on RNN and LSTM.- Teacher Facial Expression
Recognition Based on GoogLeNet-InceptionV3 CNN Model.- An Overview study of
Importance of Artificial Intelligence in the improvement of Online
Education.- A Review of Attention Detection in online Learning.- Analysis of
Teaching Introspection Text Based on Semantic Similarity.- A Summary of Text
Classification Technology and Its Application in Teacher Language
Classification.- Construction of Teacher-Student Interaction Evaluation Index
System for High School Mathematics Concept Assimilation Learning Based on
Artificial Intelligence.- An overview of data mining techniques for student
performance prediction.- Eye Tracking and Its Applications in the Field of
Intelligent Education.- Personalised material and course recommendation
system for high school students.- Research on mathematics teachers'
professional growth factors based on keyword extraction and sentiment
analysis.- Teacher award prediction based on machine learning methods.- A
Study of the Current Status of Teachers' Core Qualities and Abilities and the
Importance of Their Background Factors in Primary and Secondary Schools in
Tianjin.- The Analysis Path of Classroom Teacher Behavior Supported by
Artificial Intelligence.- A Survey of Automated Essay Scoring System Based on
Naive Bayes Classifier.- Curriculum Reform and Exploration under the
Background of "Artificial Intelligence and New Engineering".- Dynamics, Hot
Spots and Future Directions of Educational Research in the Intelligent Era.-
AI and Practice Teaching Electronic Information innovative training model in
the context of exploring.- Overview of Intelligent Tutoring System.- Study on
Intelligent Evaluation of High School Mathematics Teachers Teaching
Reflection.
Wei Wang is Professor of College of Artificial Intelligence in Tianjin Normal University. He obtained his B.E. in Measuring and Controlling Technology and Instrument from University of Science and Technology Beijing in 2003, and he obtained his M.S. and Ph.D. in Measuring Technology and Instrument from Tianjin University in 2006 and 2010, respectively. From 2010 to 2012, he was Assistant Professor in Tianjin Normal University, and from 2012 to 2017, he is Associate Professor in Tianjin Normal University. Wei Wang is IEEE Senior Member, Distinguished Professor of Tianjin (Young Scholar).
Wei Wang research interests are wireless sensor networks, data stream mining, graph signal processing, few shot learning, artificial intelligence in education, and so on. He is also focused on RD field, especially in optic fiber sensor network. He has published more than fifty papers in international journals and conferences.
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