Evaluation of Online Log Variables That Estimate Learners' Time Management in a Korean Online Learning Context

Saved in:
Bibliographic Details
Title: Evaluation of Online Log Variables That Estimate Learners' Time Management in a Korean Online Learning Context
Language: English
Authors: Jo, Il-Hyun, Park, Yeonjeong, Yoon, Meehyun, Sung, Hanall
Source: International Review of Research in Open and Distributed Learning. Jan 2016 17(1):195-213.
Availability: Athabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Peer Reviewed: Y
Page Count: 19
Publication Date: 2016
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Online Courses, Time Management, Correlation, Behavior Patterns, Student Behavior, Management Systems, College Students, Asians, Structural Equation Models, Goodness of Fit, Foreign Countries, Factor Analysis, Recordkeeping
Geographic Terms: South Korea
ISSN: 1492-3831
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.
Abstractor: ERIC
Number of References: 51
Entry Date: 2016
Accession Number: EJ1090890
Database: ERIC
Description
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.
ISSN:1492-3831