题  目：AutoTutor, an implementation of Conversation-Based Intelligent Tutoring Systems (ITS)

主讲人: Xiangen Hu 教授（University of Memphis, 华中师范大学心理学院）

时  间：2017年9月27日(周三)上午10:00-11:30

地  点：心理学院214会议室

讲座内容：

AutoTutor started as a flagship application at the Institute of Intelligent Systems (IIS) of the University of Memphis 20 years ago. In the past 20 years, there have been major research funding on AutoTutor Research and Development (Over $35 Million US Federal Funding). In this talk, I will talk about three aspects of AutoTutor: 1) selected cognitive theories of learning that served as theoretical foundations of AutoTutor, 2) Enabling technologies that make AutoTutor work, 3) Example applications of AutoTutor in different domains. At the end, It is expected the audiences can create his/her own AutoTutor.

主讲人简介：

Dr. Xiangen Hu is a professor in the Department of Psychology and Department of Electrical and Computer Engineering at The University of Memphis (UofM) and senior researcher at the Institute for Intelligent Systems (IIS) at the UofM and visiting professor at Central China Normal University (CCNU). Dr. Hu received his MS in applied mathematics from Huazhong University of Science and Technology, MA in social sciences and Ph.D. in Cognitive Sciences from the University of California, Irvine. Dr. Hu is the Director of Advanced Distributed Learning (ADL) center for Intelligent Tutoring Systems (ITS) Research & Development, and senior researcher in the Chinese Ministry of Education’s Key Laboratory of Adolescent Cyberpsychology and Behavior.

Dr. Hu’s primary research areas include Mathematical Psychology, Research Design and Statistics, and Cognitive Psychology. More specific research interests include General Processing Tree (GPT) models, categorical data analysis, knowledge representation, computerized tutoring, and advanced distributed learning. Dr. Hu receives funding for the above research from the US National Science Foundation (NSF), US Institute for Education Sciences (IES), ADL of the US Department of Defense (DoD), US Army Medical Research Acquisition Activity (USAMRAA), US Army Research Laboratories (ARL), US Office of Naval Research (ONR), UofM, and CCNU.