Educational technology approach toward learning analytics: Relationship between student online behavior and learning performance in higher education

Taeho Yu, Il Hyun Jo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

59 Scopus citations

Abstract

The aim of this study is to suggest more meaningful components for learning analytics in order to help learners improving their learning achievement continuously through an educational technology approach. Multiple linear regression analysis is conducted to determine which factors influence student's academic achievement. 84 undergraduate students in a women's university in South Korea participated in this study. The sixpredictor model was able to account for 33.5% of the variance in final grade, F(6, 77) = 6.457, p < .001, R2 = .335. Total studying time in LMS, interaction with peers, regularity of learning interval in LMS, and number of downloads were determined to be significant factors for students' academic achievement in online learning environment. These four controllable variables not only predict learning outcomes significantly but also can be changed if learners put more effort to improve their academic performance. The results provide a rationale for the treatment for student time management effort.

Original languageEnglish
Title of host publicationLAK 2014
Subtitle of host publication4th International Conference on Learning Analytics and Knowledge
PublisherAssociation for Computing Machinery
Pages269-270
Number of pages2
ISBN (Print)1595930361, 9781595930361
DOIs
StatePublished - 2014
Event4th International Conference on Learning Analytics and Knowledge, LAK 2014 - Indianapolis, IN, United States
Duration: 24 Mar 201428 Mar 2014

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Learning Analytics and Knowledge, LAK 2014
Country/TerritoryUnited States
CityIndianapolis, IN
Period24/03/1428/03/14

Keywords

  • Analytics
  • Educational technology
  • Elearning
  • Higher education

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