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Optimizing e‐learning: Research‐based guidelines for learner‐controlled training
Author(s) -
DeRouin Renée E.,
Fritzsche Barbara A.,
Salas Eduardo
Publication year - 2004
Publication title -
human resource management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.888
H-Index - 94
eISSN - 1099-050X
pISSN - 0090-4848
DOI - 10.1002/hrm.20012
Subject(s) - control (management) , training (meteorology) , set (abstract data type) , computer science , knowledge management , the internet , artificial intelligence , world wide web , physics , meteorology , programming language
The widespread availability of the Internet has revolutionized the way organizations train their workforces. With e‐learning methods, learning can take place on‐demand, and trainees can be given greater control over their learning than ever before. This increased control has the potential to improve training effectiveness. However, the failure of many e‐learning programs suggests that organizations would benefit from a set of research‐based principles on providing learner control in e‐learning. In this article, we offer guidelines for preparing trainees for learner‐led instruction, the design of learner‐controlled training, and the creation of workplace conditions that facilitate successful learner‐led training. © 2004 Wiley Periodicals, Inc.