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A Knowledge-Based User Interface to Optimize Curriculum Utility in an E-Learning System

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  • Hamed Fazlollahtabar

    (Iran University of Science and Technology, Iran)

  • Amir Muhammadzadeh

    (University of Saskatchewan, Canada)

Abstract

The Internet and the World Wide Web in particular provide a unique platform to connect learners with educational resources. Educational material in hypermedia formed in a Web-based educational system makes learning a task-driven process, motivating learners to explore alternative navigational paths through the domain knowledge and from different resources around the globe. Many researchers have focused on developing e-learning systems with personalized learning mechanisms to assist on-line Web-based learning and to adaptively provide learning paths. Although most personalized systems consider learner preferences, interests and browsing behaviors when providing personalized curriculum sequencing services, these systems usually neglect to consider whether learner ability and the difficulty level of the recommended curriculums are matched to each other. Therefore, the authors proposed approach is based on an integer program (IP) to optimize user curriculum accompanying with fuzzy logic approach which analyze the effective criteria by linguistic variables in a knowledge based system. The effectiveness of the proposed framework is shown by numerical illustrations which are inferenced from the designed user interface.

Suggested Citation

  • Hamed Fazlollahtabar & Amir Muhammadzadeh, 2012. "A Knowledge-Based User Interface to Optimize Curriculum Utility in an E-Learning System," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 8(3), pages 34-53, July.
  • Handle: RePEc:igg:jeis00:v:8:y:2012:i:3:p:34-53
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    Cited by:

    1. Łukasz Tomczyk & Katarzyna Potyrała & Anna Włoch & Joanna Wnęk-Gozdek & Nataliia Demeshkant, 2020. "Evaluation of the Functionality of a New E-Learning Platform vs. Previous Experiences in E-Learning and the Self-Assessment of Own Digital Literacy," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    2. Wei Gu & Ying Xu & Zeng-Jun Sun, 2021. "Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model," Sustainability, MDPI, vol. 13(22), pages 1-16, November.

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