Name
Title | ||
|---|---|---|
Predicting post-training readiness to work with computers: the predominance of log-based variables |
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2723576.2723656 | LAK |
Keywords | Field | DocType |
human factors,working with computers,literacy,work readiness,employment,decision tree | Decision tree,Computer science,Knowledge management,Computer literacy,Job market,Variables,Empowerment | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalit Mor | 1 | 0 | 0.34 |
| Hagar Laks | 2 | 0 | 0.34 |
| Arnon Hershkovitz | 3 | 106 | 13.39 |