Web Survey Bibliography

Title The Seven E-learning Barriers Facing Employees
Author Mungania, P.
Source The MASIE Center, University of Louisville
Year 2003
Access date 23.02.2006
Full text pdf (487k)
Abstract As investment in human, time, and financial resources for e-learning continues to rise, so should the interest in its effectiveness, quality, barriers faced, and best practices. The purpose of this empirical study was to determine barriers experienced by employee e-learners. Further, this study explored the nature of relationships among (1) e-learning barriers; (2) employee demographics (age, gender, ethnicity, marital status, organization type, and education); and (3) background factors such as experience with e-learning and computers, job position, computer ownership, computer training, and elearning self-efficacy. An anonymous validated Web-based survey was used to collect data, showing the viability of Web-based surveys as a tool for promoting e-learning and organizational research. The Barriers in E-learning and Self-Efficacy (BELSE) survey was used to collect self-reported data, administered to a convenient sample of employee volunteers. The instrument was comprised of (1) demographic questions; (2) the Barriers in Elearning (BEL) scale, developed for the purpose of determining e-learning barriers; and (3) E-learning Self-Efficacy (ELSE) scale, to measure Internet and computer selfefficacy. This exploratory study used quantitative methods for data collection and analysis and some open-ended questions. Data were analyzed through descriptive and inferential statistics. The participants were employees in seven organizations in the United States and abroad. These organizations represent manufacturing, oil exploration & manufacturing, IT consulting, wholesale distribution, public school district, and a military division. A total of 875 employees who had taken e-learning courses delivered 100 percent online by their employers for the past two years participated voluntarily. Their ability to participate in e-learning and in this study from remote locations, from the Pacific Ocean to the Algerian desert, clearly demonstrates the ubiquity of e-learning. The demographic makeup and background characteristics of the respondents were explored to better understand the e-learning population. The figure below highlights the employees’ characteristics.
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Year of publication2003
Bibliographic typeReports, seminars
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