Validating and applying an adapted OSLQ to examine adult learners' online self-regulation

Feng Lin, Lyndon Lim, Yan Yin Ho, Bao Zhen Tan, Wei Ying Lim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This study adapted and validated Barnard’s Online Self-Regulated Learning Questionnaire (OSLQ) to assess adult learners’ (n = 1302) online self-regulation, and examined its relation with attitude towards online learning and perceived online learning satisfaction. It was found that age and employment status were important demographic factors influencing adult learners’ online self-regulation. Specifically, middle- and late-career learners perceived themselves to be more self-regulated than early career learners, and self-employed learners perceived themselves to be more self-regulated than out-of-labour learners. Hierarchical regression analysis showed that online self-regulation contributed to adult learners’ perceived online learning satisfaction over and above attitude towards online learning and demographic variables. This suggests that online self-regulation is an important predictor of adult learners’ online learning satisfaction. Further, within the subscales of online self-regulation, it was found that the more participants set goals and sought help while learning online, the more satisfied they perceived their online learning. Implications for supporting adult learners’ online self-regulation and online learning were discussed.

Original languageEnglish
Pages (from-to)1684-1699
Number of pages16
JournalHigher Education Research & Development
Volume42
Issue number7
DOIs
Publication statusPublished - 3 Oct 2023
Externally publishedYes

Fingerprint

Dive into the research topics of 'Validating and applying an adapted OSLQ to examine adult learners' online self-regulation'. Together they form a unique fingerprint.

Cite this