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Keynote Speakers -

Prof. Bor-Chen KUO

Prof. Bor-Chen KUO

Dean @

National Taichung University of Education

Taiwan

Dean, College of Education and Distinguished Professor
Graduate Institute of Educational Information and Measurement
National Taichung University of Education, Taiwan

Discipline Coordinator, Mathematics Education Division, 
Ministry of Science and Technology, Taiwan
President, Chinese Association of Psychological Testing, Taiwan

Topic of Presentation:

A Knowledge Structure Based Adaptive Learning and Assessment Platform to Enhance Learning and Teaching

Speaker Bio: 

Professor Bor-Chen Kuo received the Ph.D. degree in electrical and computer engineering from the Purdue University, West Lafayette, IN, in 2001. He is currently a Distinguished Professor of the Graduate Institute of Educational Measurement and Statistics, and the Dean of College of Education, National Taichung University of Education, Taiwan. Since 2015 He served as the President of Chinese Association of Psychological Testing. He is the Chief Editor of the Journal of Educational Measurement and Statistics, Taiwan since 2014 and the Associate Editor of Educational Psychology since 2016. From 2017, Professor Kuo served as the Discipline Coordinator, Mathematics Education Division, Ministry of Science and Technology, Taiwan.
Professor Kuo received an Outstanding and Excellence Research Award from The R.O.C Education and Research Society in 2009. His research interests include computerized adaptive learning and testing, cognitive diagnostic modeling, machine learning, and artificial intelligence in education. 

Abstract: 

The Ministry of Education, Taiwan, recently launched an adaptive learning and assessment platform  to assist learning and teaching. This adaptive learning and assessment platform can be divided into four components or models, domain model, instructional model, student model, and interface model. In this presentation, this adaptive learning and assessment system will be illustrated from these four aspects. 
In this platform, there are thousands of videos for micro-learning, items for instant diagnosing, interactive modules and intelligent tutoring agents for supporting learning through scaffolds. Some of the results applying this platform on flipped teaching and remedial instruction will be demonstrated. Additionally, student's learning behaviors and records are analyzed by using data mining techniques and the findings will be also presented.
 
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