First EAI International Conference on Computer Science and Engineering

Research Article

Digitized and Visualized Knowledge Structures in Recommending Associated Web Links

Download725 downloads
  • @INPROCEEDINGS{10.4108/eai.27-2-2017.152262,
        author={Athitaya Nitchot},
        title={Digitized and Visualized Knowledge Structures in Recommending Associated Web Links},
        proceedings={First EAI International Conference on Computer Science and Engineering},
        publisher={EAI},
        proceedings_a={COMPSE},
        year={2017},
        month={2},
        keywords={knowledge structure; structure visualization; self-study; digitized structure},
        doi={10.4108/eai.27-2-2017.152262}
    }
    
  • Athitaya Nitchot
    Year: 2017
    Digitized and Visualized Knowledge Structures in Recommending Associated Web Links
    COMPSE
    EAI
    DOI: 10.4108/eai.27-2-2017.152262
Athitaya Nitchot1,*
  • 1: Prince of Songkla International College, Prince of Songkla University 12th Floor, Learning Resource Center (LRC), Square Building 15 Kanjanavanich Road, Hat Yai, Songkla 90110 Thailand
*Contact email: athitaya.nitchot@gmail.com

Abstract

E-learning and web-based learning are intended to support learners. It is still difficult, however, for learners to identify and choose study materials that match their current and desired abilities. Some e-learning systems do not provide the information needed to assist learners and avoid these difficulties.This research proposes pedagogically-informed knowledge structures, methods to construct them and design the associated application, a tool for recommending appropriate materials. Experimental studies are conducted to validate the design of the knowledge structures and the effectiveness of the tools. Learners will be expected to gain significantly higher levels of achievement by using the knowledge structures and associated tools proposed in this research.