Knowledge modeling for readiness self-assessment

Dunwei Wen, Ken Dickson, Fuhua Lin

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Online readiness self-assessments are widely used in universities providing distant education, and they can help prospective students to understand the requirements and their readiness to study in these universities. Most of the self-assessment systems are Web-based static questionnaires. In this paper, a novel adaptive online self-assessment system AM I READY is introduced. The system is based on knowledge models, including static and dynamic user model, counseling model and self-assessment process model. It can dynamically filter questions to be asked to a specific user and adjust the contents of webpage dialog between the user and the system according to knowledge models and the user's responses. The system is more effective and helpful than the usual ones.

    Original languageEnglish
    Pages (from-to)340-345
    Number of pages6
    JournalProceedings of the International Conference on Electronic Business (ICEB)
    Publication statusPublished - 2005
    Event5th International Conference on Electronic Business, ICEB 2005 - Hong Kong, Hong Kong
    Duration: 5 Dec. 20059 Dec. 2005

    Keywords

    • E-learning & innovations in teaching
    • Knowledge modeling
    • Self-assessment

    Fingerprint

    Dive into the research topics of 'Knowledge modeling for readiness self-assessment'. Together they form a unique fingerprint.

    Cite this