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A study on factor analysis to support knowledge based decisions for a smart class

Author

Listed:
  • Jaechoon Jo

    (Korea University)

  • Jeongbae Park

    (Korea University)

  • Hyesung Ji

    (Korea University)

  • Yeongwook Yang

    (Korea University)

  • Heuiseok Lim

    (Korea University)

Abstract

A smart class provides an environment that enables collaboration, sharing, and participation between teachers and students. Thanks to the great attention paid to the smart class idea, with a view to providing effective and efficient learning for students, many state-of-the-art technologies have been applied to the field of education. However, simple infrastructure construction and the introduction of state-of-the-art technology have many limitations in obtaining the desired effects of a smart class. This study aims to discover the important elements that allow a smart class to achieve positive effects in education and to support the design and application of a smart class based on the derived elements. In the study, an integrated teaching and learning assistance system was applied to a smart class. A smart class environment was constructed that was applied and test operated in an elementary school for 4 weeks. Through the test operation of the smart class, the important elements of an effective smart class were determined to be system playfulness, perceived usefulness, perceived ease of use, and attitude toward class.

Suggested Citation

  • Jaechoon Jo & Jeongbae Park & Hyesung Ji & Yeongwook Yang & Heuiseok Lim, 2016. "A study on factor analysis to support knowledge based decisions for a smart class," Information Technology and Management, Springer, vol. 17(1), pages 43-56, March.
    • Handle: RePEc:spr:infotm:v:17:y:2016:i:1:d:10.1007_s10799-015-0222-8
    DOI: 10.1007/s10799-015-0222-8
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    Cited by:

    1. Youngseok Lee & Jungwon Cho, 2020. "Knowledge representation for computational thinking using knowledge discovery computing," Information Technology and Management, Springer, vol. 21(1), pages 15-28, March.

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