• Title/Summary/Keyword: QAM(Query Answer Meatadata)

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A Development of Query-Answer Learning Tool based on LTSA (LTSA 기반의 질의 응답 학습 도구 개발)

  • Kim, Haeng-Kon;Kim, Jung-Soo
    • The KIPS Transactions:PartA
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    • v.10A no.3
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    • pp.269-278
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    • 2003
  • The popularity of the web based education has come the need for variety learning methods and for business to exploit the web not only for interoperability but also standardization. This way of standardization has come to researched for environments, contents and practical uses in ISO. The IEEE has special]y established five technical classes for LTSA which provide advanced e-learning environments. Feedback functions would not be supported and specified in standardization for Query Answer on LTSA. In this paper, we describe the query and answer model which we have developed on layer three of LTSA. We develop the redefined model for transforming data flow oriented into object or component based model. We have developed the Query Answer Metadata (QAM) based on Learning Object Metadata (LOM). We design and showed thing a prototyping implementation the Query Answer Learning Tool (QALT). We have used the QALT to address the problem of efficiency of web based education. We also used it to develop the related tools with quality and productivity.