Predicting post-training readiness to work with computers: the predominance of log-based variables
Pages 400 - 401
Abstract
In today's job market, computer skills are part of the prerequisites for many jobs. In this paper, we report on a study of readiness to work with computers (the dependent variable) among unemployed women (N=54) after participating in a unique training focused on computer skills and empowerment. Associations were explored between this variable and 17 variables from four categories: log-based, computer literacy and experience, job-seeking motivation and practice, and training satisfaction. Only two variables were associated with the dependent variable: Knowledge post-test duration and satisfaction with content. Building a prediction model of the dependent variable, another feature was highlighted: Total number of actions in the course website along the course. Our analyses highlight the predominance of the log-based variables over the variables from the other categories, and we thoroughly discuss this finding.
References
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Compeau, D. R. & Higgins, C. A. 1995. Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19(2), 189--211.
[2]
Lee, C. C., Czarja, S. J., & Sharit, J. 2008. Training older workers for technology-based employment. Educational Gerontology, 35(1), 15--31.
[3]
Salanova, M., Grau, R. M., Cifre, E., & Llorens, S. (2000). Computer training, frequency of usage and burnout: the moderating role of computer self-efficacy. 2000. Computers in Human Behavior, 16(6), 575--590.
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Torkzadeh, R, Pflughoeft, K., & Hall, L. 1999. Computer self-efficacy, training effectiveness and user attitudes: An empirical study. Behaviour & Information Technology, 18(4), 299--309.
Index Terms
- Predicting post-training readiness to work with computers: the predominance of log-based variables
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Information & Contributors
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Published In
March 2015
448 pages
ISBN:9781450334174
DOI:10.1145/2723576
- Conference Chairs:
- Josh Baron,
- Grace Lynch,
- Nicole Maziarz,
- Program Chairs:
- Paulo Blikstein,
- Agathe Merceron,
- George Siemens
Copyright © 2015 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 March 2015
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LAK '15
LAK '15: the 5th International Learning Analytics and Knowledge Conference
March 16 - 20, 2015
New York, Poughkeepsie
Acceptance Rates
LAK '15 Paper Acceptance Rate 20 of 74 submissions, 27%;
Overall Acceptance Rate 236 of 782 submissions, 30%
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