Predicting post-training readiness to work with computers: The predominance of log-based variables

Dalit Mor, Hagar Laks, Arnon Hershkovitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Learning Analytics and Knowledge, LAK 2015
PublisherAssociation for Computing Machinery
Pages400-401
Number of pages2
ISBN (Electronic)9781450334174
DOIs
StatePublished - 16 Mar 2015
Event5th International Conference on Learning Analytics and Knowledge, LAK 2015 - Poughkeepsie, United States
Duration: 16 Mar 201520 Mar 2015

Publication series

NameACM International Conference Proceeding Series
Volume16-20-March-2015

Conference

Conference5th International Conference on Learning Analytics and Knowledge, LAK 2015
Country/TerritoryUnited States
CityPoughkeepsie
Period16/03/1520/03/15

Keywords

  • Decision Tree
  • Work Readiness
  • Working With Computers

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Predicting post-training readiness to work with computers: The predominance of log-based variables'. Together they form a unique fingerprint.

Cite this