A user evaluation framework for web-based learning systems

Authors:
Ke Niu;Wei Chen;Zhendong Niu;Peipei Gu;Yi Li;Zhilei Huang
Affiliations:
Beijing Institute of Technology, Beijing, China;Beijing Institute of Technology, Beijing, China;Beijing Institute of Technology, Beijing, China;Beijing Institute of Technology, Beijing, China;Beijing Institute of Technology, Beijing, China;Beijing Institute of Technology, Beijing, China
Venue:
MTDL '11 Proceedings of the third international ACM workshop on Multimedia technologies for distance learning
Year:
2011

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Abstract

This paper proposes a user evaluation framework for Web-based learning systems by adopting the concepts of evaluation index systems and the techniques of data mining. In the proposed framework, the evaluation and the guiding of users are through-out the whole process of learning. A flexible and extensible user evaluation model is proposed to analyze users' interests, learning abilities and learning attitudes. The framework provides users with personalized services, such as customized learning strate-gies, personalized learning resource recommendation, Web-based testing and dynamic sharing of learning resources. The IMS QTI standard is utilized to construct adaptive exam questions, which also makes the evaluation results more reasonable and objective. Preliminary user studies show the effectiveness for improving students' learning effects and the precision of user evaluation.