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Academic Report: Auto Tutor: the realization of a Session-based Intelligent Computer Tutoring System

Date:2018-03-23Promulgator:Click:

  

Time: 13.30, March 27(Tuesday), 2018

Venue: Room 109, Teaching Building No. 4, East Campus

Topic: AutoTutor: The realization of a Session-based Intelligent Computer Tutoring System

Lecturer: Hu Xiangen

Lecturer Introduction: Hu Xiangen is now a tenure-track professor of the Faculty of Psychology, Faculty of Electrical and Computer Engineering, and Faculty of Computer Science, UofM. He is also a professor and the Dean of the School of Psychology, CCNU, a Senior Researcher at IIS, UofM, and the Director of ADL Joint Lab, UofM. He graduated from HUST with a MA Degree in applied mathematics, and took MA Degree and PhD Degree in Social Science at the University of California, Irvine in 1993. Hu was elected distinguished expert of Thousand Talents Program by the Organization Department of the Central Committee of the CPC.

Prof. Hu has been engaged in cognitive psychology, computational behavior model, artificial intelligence, and intelligent tutoring research for nearly 30 years. Specifically, his research includes General Processing Tree (GPT) models, classified data analysis, knowledge representation, computerized tutoring and advanced distributed learning. In last decade, Hu has presided over a total of 7.5 million U.S. dollars of research projects of the U.S. National Science Foundation (NSF), Institution of Education Sciences (IES), Department of Defense (DoD), Office of Naval Research (ONR), and Army Laboratory (ARL). Hu once presided over the STEM grand Challenge project of the U.S. Office of Naval Research (ONR), and was responsible for organizing GIFT Advisory Committee for the U.S. Army Laboratory. He once chaired the SCIP.

Personal homepage: http://www.xiangenhu.info/

Lecture Content: Twenty years ago, AutoTutor became the leading App of the IIS, UofM, helping to eliminate computer illiteracy. And it has been developed into an advanced learning environment framework which can be deeply explored, understood and implemented. In past 20 years, the R&D department of AutoTutor has won substantial research grant over 35 million dollars from the federal government. In this report, the lecturer will introduce three aspects of AutoTutor: cognitive learning theory as the theoretical basis of AutoTutor,its technology and application in different fields.

[Translated by Li Zhengjie) ]

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