Learning to use a word processor: by doing, by thinking, and by knowing
Human factors in computer systems
End-user computing: a research framework for investigating the training/learning process
Human factors in management information systems
The Psychological Study of Programming
ACM Computing Surveys (CSUR)
A learning model of information systems: the effects of orienting materials, ability, expectations, and experience on performance, usage, and attitudes (advance, cognitive organizers, office automation, electronic mail, computers)
Conceptual models in training novice users of computer systems: effectiveness of abstract vs. analogical models and influence of individual differences
A comparison of applications-based and construct-based training methods for dss generator software
A comparison of applications-based and construct-based training methods for dss generator software
Conceptual models and cognitive learning styles in teaching recursion
SIGCSE '98 Proceedings of the twenty-ninth SIGCSE technical symposium on Computer science education
Individual differences and conceptual models in training novice users
Human-Computer Interaction
Education and Information Technologies
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The importance of effective training in ensuring the success of End-User Computing (EUC) has been emphasized by several researchers in MIS. A vast amount of evidence from research in such related areas as educational psychology suggest that individual differences, such as a novice end user's learning style may effect his/her learning of a new EUC software. This paper reports the findings of a series of studies that examined the influence of a novice's learning style in learning of typical EUC tools such as spreadsheets and electronic mail. A consistent pattern of findings emerged that indicate that learning style is an important predictor of learning performance, both by itself and in interaction with training methods. The findings suggest that in the design of training, it is essential to match training methods to individual difference variables. Based on these findings, guidelines are suggested for IS professional involved in EUC training.