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Structural Relationship of Factors Influencing Database Class Satisfaction

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(7), pp.145-153
  • DOI : 10.9708/jksci.2023.28.07.145
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 9, 2023
  • Accepted : July 18, 2023
  • Published : July 31, 2023

Jong Man Lee 1

1동양미래대학교

Accredited

ABSTRACT

The aim of this study is to examine the relationship between self-regulated learning, NLR(non-learning-related) behavior, interaction and flow on satisfaction in database classes. To achieve this purpose, this study proposed a research model consisting of self-regulated learning, NLR behavior, interaction, flow and satisfaction. A survey was conducted to test the research hypotheses, and a total of 122 online questionnaires were obtained and used for the final statistical analysis. The main findings of the analysis are as follows: First, flow was consistently identified as a key determinant of satisfaction. Second, self-regulated learning was found to have a significant effect on flow. Third, NLR behavior and interaction were found to mediate the relationship between self-regulated learning and flow. This study provides insights into the role of NLR behavior and interaction in promoting flow and offers implications for understanding how to promote flow.

Citation status

* References for papers published after 2023 are currently being built.