【文化與學習講座】12/17(四) Prof. Xiangen Hu( Department of Psychology & Electronic and Computer Engineering, The University of Memphis, USA )：Advanced Learning Theories, Enabling Technologies, and Selected Applications
題目：Advanced Learning Theories, Enabling Technologies, and Selected Applications
講者：Professor Xiangen Hu(胡祥恩), Department of Psychology & Electronic and Computer Engineering, The University of Memphis, USA
時間：104年12月17日(週四) 15:30-17:20
地點：教育館225會議室
講者簡介：
Education
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1987-1993: University of California, Irvine
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Degree: Master of Art (1991), Ph. D (1993)
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Mayor: Mathematical Social Sciences, Cognitive Psychology
Employment
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1993-Present: The University of Memphis, Department of Psychology
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Position: Assistant professor, Associate professor, Professor
Other professional activities/positions
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2009-Present: Advanced Distributed Learning's Center for Intelligent Tutoring Systems Research & Development
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Position: Director
Current Projects
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General Processing Tree Models
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Semantic Analysis
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Intelligent Tutoring Systems
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Advanced Distributed Learning
摘要：
Human learning & memory and their applications in advanced learning environments (ALE) have been among the most active research areas in cognitive psychology (CP) and artificial intelligence (AI). This talk will report some of the research, development, and applications in these areas of CP & AI in the Institute for Intelligent Systems (IIS). First, I will introduce the AF (AutoTutor Framework), a flagship ALE developed by the team at IIS. This framework includes three key components: ACE (AutoTutor Conversation Engine), ASAT (AutoTutor Script Authoring Tools), SKO (Sharable Knowledge Objects). All three components organized together becomes AAPI (AutoTutor Application Program Interface). Second, I will briefly talk about relevant Learning Principles in CP that are relevant to ALE. Third, we will present some of the enabling technologies that have been developed for AF. Among the enabling technologies are GIFT (Generalized Intelligent Framework for Tutoring), Coh-Metrix (http://cohmetrix.com/), SRA (semantic representation analysis), and Animated Conversational Agents. At the end of the talk, If time permits, I will present a couple example applications of AF and brief demonstration of AAPI.
演講相關內容連結如下：