Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator

Ming Chi Liu, Dunwei Wen, Kinshuk, Yueh Min Huang

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

    3 Citations (Scopus)

    Abstract

    This study firstly notices that lack of overall ecologic knowledge structure is one critical reason for learners' failure of keyword search. Therefore in order to identify their current interesting sight, the dynamic location-aware and semantic hierarchy (DLASH) is presented for learners to browse images. This hierarchy mainly considers that plant and animal species are discontinuously distributed around the planet, hence this hierarchy combines location information for constructing the semantic hierarchy through WordNet. After learners confirmed their intent information needs, this study also provides learners three kinds of image-based learning tasks to learn: similar-images comparison, concept map fill-out and placement map fill-out. These tasks are designed based on Ausubel's advance organizers and improved it by integrating three new properties: Displaying the nodes of the concepts by authentic images, automatically generating the knowledge structure by computer and interactively integrating new and old knowledge.

    Original languageEnglish
    Title of host publication6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010
    Subtitle of host publicationMobile Social Media for Learning and Education in Formal and Informal Settings
    Pages42-49
    Number of pages8
    DOIs
    Publication statusPublished - 2010
    Event6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010 - Kaohsiung, Taiwan, Province of China
    Duration: 12 Apr. 201016 Apr. 2010

    Publication series

    Name6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings

    Conference

    Conference6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010
    Country/TerritoryTaiwan, Province of China
    CityKaohsiung
    Period12/04/1016/04/10

    Keywords

    • Ecological learning
    • Image browsing
    • Learning task
    • Location-aware
    • Semantic analysis
    • Wikipedia
    • WordNet

    Fingerprint

    Dive into the research topics of 'Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator'. Together they form a unique fingerprint.

    Cite this