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2. An Open Framework for Smart and Personalized Distance Learning

Ruimin ShenContact Information, Peng HanContact Information, Fan YangContact Information, Qiang YangContact Information and Joshua Zhexue HuangContact Information

(7)  Department of Computer Science & Engineering, Shanghai Jiaotong University, Shanghai, China
(8)  Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, China
(9)  E-Business Technology Institute, University of Hong Kong, Hong Kong, China
Abstract
Web based learning enables more students to have access to the distance-learning environment and provides students and teachers with unprecedented flexibility and convenience. However, the early experience of using this new learning means in China exposes a few problems. Among others, teachers accustomed to traditional teaching methods often find it difficult to put their courses online and some students, especially the adult students, find themselves overloaded with too much information. In this paper, we present an open framework to solve these two problems. This framework allows students to interact with an automated question answering system to get their answers. It enables teachers to analyze students learning patterns and organize the webbased contents efficiently. The framework is intelligent due to the data mining and case-based reasoning features, and user-friendly because of its personalized services to both teachers and students.

Contact Information Ruimin Shen
Email: rmshen@mail.sjtu.edu.cn

Contact Information Peng Han
Email: phan@mail.sjtu.edu.cn

Contact Information Fan Yang
Email: fyang@mail.sjtu.edu.cn

Contact Information Qiang Yang
Email: qyang@cs.ust.hk

Contact Information Joshua Zhexue Huang
Email: jhuang@eti.hku.hk
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