The importance of learning style in end-user training
MIS Quarterly
Journal of Management Information Systems
Applying adaptive structuration theory to investigate the process of group support systems use
Journal of Management Information Systems - Special issue: Collaboration technology, modeling, and end-user computing for the 1990s
Predictors of learning performance in a computer-user training environment: a path-analytic study
International Journal of Human-Computer Interaction
End user training: an experimental comparison of lecture versus computer-based training
Journal of End User Computing
Rethinking end-user training strategy: applying a hierarchical knowledge-level model
Journal of End User Computing - Special issue on end user computing: clarity, change, choice
Introduction: personalized views of personalization
Communications of the ACM
International Journal of Human-Computer Studies
Information Systems Research
Information Systems Research
Research Commentary: Technology-Mediated Learning--A Call for Greater Depth and Breadth of Research
Information Systems Research
A Comparative Study of Distributed Learning Environments on Learning Outcomes
Information Systems Research
Information Systems Research
Self-regulated learning strategies and computer software training
Self-regulated learning strategies and computer software training
End-user training methods: what we know, need to know
ACM SIGMIS Database
Proceedings of the 45th ACM technical symposium on Computer science education
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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The increasing investment in technology for training and learning in organizations underscores the fundamental importance for researchers to understand and investigate technology-mediated learning (TML). Currently, a great deal of Information Systems (IS) training for both IS professionals and end-users has a TML component. With the continuing growth of TML and advances in information technology, there will be a likely increate in TML-based IS training in the future. Advances in technology have created opportunities to deliver mass training as well as to personalize learning. To facilitate understanding in this area, this research analyzes the impact of individual differences on end-user training (EUT) in a TML environment. Using Adaptive Structuration Theory (AST), the learning process is modeled as the appropriation of a training method. Individual differences, or internal structures, are argued to have a significant direct effect on training outcomes and to impact the level of faithfulness of appropriation of learning/training method, thus, having an important indirect effect on learning outcomes. In this study, multiple individual differences were investigated in a laboratory experiment. Data was analyzed using SEM. The results of the study provide a vehicle for researchers, both in IS and Education, to better design and develop training methods and technology tools.