Evaluation of online log variables that estimate learners' time management in a Korean online learning context

Il Hyun Jo, Yeonjeong Park, Meehyun Yoon, Hanall Sung

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The purpose of this study was to identify the relationship between the psychological variables and online behavioral patterns of students, collected through a learning management system (LMS). As the psychological variable, time and study environment management (TSEM), one of the sub-constructs of MSLQ, was chosen to verify a set of time-related online log variables: Login frequency, login regularity, and total login time. Data was collected from 188 college students in a Korean university. Employing structural equation modeling, a hypothesized model was tested to measure the model fit. The results presented a criterion validity of online log variables to estimate the students' time management. The structural model, including the online variable TSEM , and final score, with a moderate fit, indicated that learners' online behavior related to time mediates their psychological functions and their learning outcomes. Based on the results, the final discussion includes recommendations for further study and meaningfulness in regards to extending the Learning Analytics for Performance and Action (LAPA) model.

Original languageEnglish
Pages (from-to)195-213
Number of pages19
JournalInternational Review of Research in Open and Distance Learning
Volume17
Issue number1
DOIs
StatePublished - 2016

Keywords

  • Log variables
  • Online learning
  • Structural equation model
  • Time management

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