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Structural Model Analysis of the Effectiveness of Problem Solving Ability by Team-Based Learning Pedagogy

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(10), pp.193-201
  • DOI : 10.9708/jksci.2020.25.10.193
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 4, 2020
  • Accepted : September 24, 2020
  • Published : October 30, 2020

Kyung-Im Moon 1

1광주여자대학교

Accredited

ABSTRACT

This study is to evaluate the effectiveness of problem-solving ability by applying a team-based learning model to the classes of humanities and social science students, and to conduct a structural model analysis on the relationship between sub-factors. Team-based learning was conducted six times in six teams with 30 students in the second and third grades of the humanities and social sciences. The problem solving ability score of the target students was significantly higher after team-based learning and was statistically significant. There was no problem in normality with the latent variables, which are the sub-factors of problem solving ability, and the factor load value was statistically significant at the .001 level in the confirmatory factor analysis of the observed variables for the latent variables, which was a valid model. A good level of fitness was also shown in the verification of the fitness of the research model. As a result, it was analyzed that latent variables of cause analysis, problem clarification, planning execution, performance evaluation, and alternative development had an indirect or direct influence on each other.

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This paper was written with support from the National Research Foundation of Korea.
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