The use of information technology to enhance management school education: a theoretical view
MIS Quarterly - Special issue on IS curricula and pedagogy
MIS Quarterly - Special issue on IS curricula and pedagogy
Issues and opinion on structural equation modeling
MIS Quarterly
Research Commentary: Technology-Mediated Learning--A Call for Greater Depth and Breadth of Research
Information Systems Research
Making Sense of Online Learning: A Guide for Beginners and the Truly Skeptical
Making Sense of Online Learning: A Guide for Beginners and the Truly Skeptical
Knowledge Sourcing Effectiveness
Management Science
A Theoretical Integration of User Satisfaction and Technology Acceptance
Information Systems Research
Foundation for the Study of Computer-Supported Collaborative Learning Requiring Immersive Presence
Journal of Management Information Systems
Self-regulated learning strategies and software training
Information and Management
Using Self-Regulatory Learning to Enhance E-Learning-Based Information Technology Training
Information Systems Research
Engaging Group E-Learning in Virtual Worlds
Journal of Management Information Systems
Information and Management
Individual Virtual Competence and Its Influence on Work Outcomes
Journal of Management Information Systems
Using social software for enhancing IS talents' e-learning motivation
Proceedings of the 2013 annual conference on Computers and people research
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This paper focuses on employees' e-learning processes during online job training. A new categorization of self-regulated learning strategies, that is, personal versus social learning strategies, is proposed, and measurement scales are developed. The new measures were tested using data collected from employees in a large company. Our approach provides context-relevant insights into online training providers and employees themselves. The results suggest that learners adopt different self-regulated learning strategies resulting in different e-learning outcomes. Furthermore, the use of self-regulated learning strategies is influenced by individual factors such as virtual competence and goal orientation, and job and contextual factors such as intellectual demand and cooperative norms. The findings can 1 help e-learners obtain better learning outcomes through their active use of varied learning strategies, 2 provide useful information for organizations that are currently using or plan to use e-learning for training, and 3 inform software designers to integrate self-regulated learning strategy support in e-learning system design and development.