Ranking metrics and search guidance for learning object repository

Neil Y. Yen, Timothy K. Shih, Louis R. Chao, Qun Jin

    Research output: Contribution to journalArticle

    50 Citations (Scopus)

    Abstract

    In line with the popularity of the Internet and the development of search engine, users request information through web-based services. Although general-purpose searching such as one provided by Google is powerful, searching mechanism for specific purposes could rely on metadata. In distance learning (or e-learning), SCORM provides an efficient metadata definition for learning objects to be searched and shared. To facilitate searching in a federated repository, CORDRA provides a common architecture for discovering and sharing Learning Objects. We followed SCORM and CORDRA specifications to develop a registry system, called the MINE Registry, for storing and sharing 20,738 Learning Objects created in the past five years. As a contribution, we propose the concept of Reusability Tree to represent the relationships among relevant Learning Objects and enhance CORDRA. We further collect relevant information, while users are utilizing Learning Objects, such as citations and time period persisted. The feedbacks from the user community are also considered as critical elements for evaluating significance degree of Learning Objects. Through theses factors, we propose a mechanism to weight and rank Learning Objects in the MINE Registry, in addition to other external learning objects repositories. As a practical contribution, we provide a tool called Search Guider to assist users in finding relevant information in Learning Objects based on individual requirements.

    Original languageEnglish
    Article number5518759
    Pages (from-to)250-264
    Number of pages15
    JournalIEEE Transactions on Learning Technologies
    Volume3
    Issue number3
    DOIs
    Publication statusPublished - 2010

    Fingerprint

    Metadata
    ranking
    Distance education
    Reusability
    Search engines
    World Wide Web
    learning
    Internet
    Specifications
    Feedback
    search engine
    distance learning
    electronic learning
    popularity

    Keywords

    • CORDRA
    • distance learning.
    • information retrieval
    • learning object repository
    • LOM
    • ranking metrics
    • reusability tree
    • search guidance
    • social feedback

    ASJC Scopus subject areas

    • Engineering(all)
    • Computer Science Applications
    • Education

    Cite this

    Ranking metrics and search guidance for learning object repository. / Yen, Neil Y.; Shih, Timothy K.; Chao, Louis R.; Jin, Qun.

    In: IEEE Transactions on Learning Technologies, Vol. 3, No. 3, 5518759, 2010, p. 250-264.

    Research output: Contribution to journalArticle

    Yen, Neil Y. ; Shih, Timothy K. ; Chao, Louis R. ; Jin, Qun. / Ranking metrics and search guidance for learning object repository. In: IEEE Transactions on Learning Technologies. 2010 ; Vol. 3, No. 3. pp. 250-264.
    @article{0eb8b42ee0724044afda6b74a1985f37,
    title = "Ranking metrics and search guidance for learning object repository",
    abstract = "In line with the popularity of the Internet and the development of search engine, users request information through web-based services. Although general-purpose searching such as one provided by Google is powerful, searching mechanism for specific purposes could rely on metadata. In distance learning (or e-learning), SCORM provides an efficient metadata definition for learning objects to be searched and shared. To facilitate searching in a federated repository, CORDRA provides a common architecture for discovering and sharing Learning Objects. We followed SCORM and CORDRA specifications to develop a registry system, called the MINE Registry, for storing and sharing 20,738 Learning Objects created in the past five years. As a contribution, we propose the concept of Reusability Tree to represent the relationships among relevant Learning Objects and enhance CORDRA. We further collect relevant information, while users are utilizing Learning Objects, such as citations and time period persisted. The feedbacks from the user community are also considered as critical elements for evaluating significance degree of Learning Objects. Through theses factors, we propose a mechanism to weight and rank Learning Objects in the MINE Registry, in addition to other external learning objects repositories. As a practical contribution, we provide a tool called Search Guider to assist users in finding relevant information in Learning Objects based on individual requirements.",
    keywords = "CORDRA, distance learning., information retrieval, learning object repository, LOM, ranking metrics, reusability tree, search guidance, social feedback",
    author = "Yen, {Neil Y.} and Shih, {Timothy K.} and Chao, {Louis R.} and Qun Jin",
    year = "2010",
    doi = "10.1109/TLT.2010.15",
    language = "English",
    volume = "3",
    pages = "250--264",
    journal = "IEEE Transactions on Learning Technologies",
    issn = "1939-1382",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    number = "3",

    }

    TY - JOUR

    T1 - Ranking metrics and search guidance for learning object repository

    AU - Yen, Neil Y.

    AU - Shih, Timothy K.

    AU - Chao, Louis R.

    AU - Jin, Qun

    PY - 2010

    Y1 - 2010

    N2 - In line with the popularity of the Internet and the development of search engine, users request information through web-based services. Although general-purpose searching such as one provided by Google is powerful, searching mechanism for specific purposes could rely on metadata. In distance learning (or e-learning), SCORM provides an efficient metadata definition for learning objects to be searched and shared. To facilitate searching in a federated repository, CORDRA provides a common architecture for discovering and sharing Learning Objects. We followed SCORM and CORDRA specifications to develop a registry system, called the MINE Registry, for storing and sharing 20,738 Learning Objects created in the past five years. As a contribution, we propose the concept of Reusability Tree to represent the relationships among relevant Learning Objects and enhance CORDRA. We further collect relevant information, while users are utilizing Learning Objects, such as citations and time period persisted. The feedbacks from the user community are also considered as critical elements for evaluating significance degree of Learning Objects. Through theses factors, we propose a mechanism to weight and rank Learning Objects in the MINE Registry, in addition to other external learning objects repositories. As a practical contribution, we provide a tool called Search Guider to assist users in finding relevant information in Learning Objects based on individual requirements.

    AB - In line with the popularity of the Internet and the development of search engine, users request information through web-based services. Although general-purpose searching such as one provided by Google is powerful, searching mechanism for specific purposes could rely on metadata. In distance learning (or e-learning), SCORM provides an efficient metadata definition for learning objects to be searched and shared. To facilitate searching in a federated repository, CORDRA provides a common architecture for discovering and sharing Learning Objects. We followed SCORM and CORDRA specifications to develop a registry system, called the MINE Registry, for storing and sharing 20,738 Learning Objects created in the past five years. As a contribution, we propose the concept of Reusability Tree to represent the relationships among relevant Learning Objects and enhance CORDRA. We further collect relevant information, while users are utilizing Learning Objects, such as citations and time period persisted. The feedbacks from the user community are also considered as critical elements for evaluating significance degree of Learning Objects. Through theses factors, we propose a mechanism to weight and rank Learning Objects in the MINE Registry, in addition to other external learning objects repositories. As a practical contribution, we provide a tool called Search Guider to assist users in finding relevant information in Learning Objects based on individual requirements.

    KW - CORDRA

    KW - distance learning.

    KW - information retrieval

    KW - learning object repository

    KW - LOM

    KW - ranking metrics

    KW - reusability tree

    KW - search guidance

    KW - social feedback

    UR - http://www.scopus.com/inward/record.url?scp=79955721149&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=79955721149&partnerID=8YFLogxK

    U2 - 10.1109/TLT.2010.15

    DO - 10.1109/TLT.2010.15

    M3 - Article

    VL - 3

    SP - 250

    EP - 264

    JO - IEEE Transactions on Learning Technologies

    JF - IEEE Transactions on Learning Technologies

    SN - 1939-1382

    IS - 3

    M1 - 5518759

    ER -