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A Model for Predicting Learning Flow and Achievement in Corporate e-Learning

Title
A Model for Predicting Learning Flow and Achievement in Corporate e-Learning
Authors
Joo, Young JuLim, Kyu YonKim, Su Mi
Ewha Authors
주영주임규연
SCOPUS Author ID
주영주scopus; 임규연scopus
Issue Date
2012
Journal Title
EDUCATIONAL TECHNOLOGY & SOCIETY
ISSN
1436-4522JCR Link
Citation
vol. 15, no. 1, pp. 313 - 325
Keywords
Corporate e-learningSelf-efficacyIntrinsic valueTechnology acceptanceLearning flow
Publisher
IEEE COMPUTER SOC, LEARNING TECHNOLOGY TASK FORCE
Indexed
SSCI; SCOPUS WOS scopus
Abstract
The primary objective of this study was to investigate the determinants of learning flow and achievement in corporate online training. Self-efficacy, intrinsic value, and test anxiety were selected as learners' motivational factors, while perceived usefulness and ease of use were also selected as learning environmental factors. Learning flow was considered as a mediator of predictors and achievement. Regarding methodological approach, structural equation modeling was employed in order to provide cause-and-effect inferences. The study participants were 248 learners who completed an e-learning courseware at a large Korean company and responded to online surveys. The findings suggested that self-efficacy, intrinsic value, and perceived usefulness and ease of use affected learning flow, while intrinsic value, test anxiety, and perceived usefulness and ease of use were significant predictors of achievement. The results revealed perceived usefulness and ease of use to be the most influential factor for both learning flow and achievement.
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사범대학 > 교육공학과 > Journal papers
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