A user evaluation framework for Web-based learning systems

Ke Niu*, Wei Chen, Zhendong Niu, Peipei Gu, Yi Li, Zhilei Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

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 throughout 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 strategies, 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.

Original languageEnglish
Title of host publicationMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL'11
Pages25-30
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 ACM Multimedia Conference, MM'11 and Co-Located Workshops - 3rd ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL'11 - Scottsdale, AZ, United States
Duration: 28 Nov 20111 Dec 2011

Publication series

NameMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL'11

Conference

Conference2011 ACM Multimedia Conference, MM'11 and Co-Located Workshops - 3rd ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL'11
Country/TerritoryUnited States
CityScottsdale, AZ
Period28/11/111/12/11

Keywords

  • E-learning
  • Evaluation index system
  • Personalized recommendation
  • User evaluation
  • Web-based testing

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