Measuring the Self-Directedness of Computer Science Learners
Metadata Field | Value | Language |
---|---|---|
dc.contributor.advisor | Witte, James E. | |
dc.contributor.author | de Almeida Adelino, Lucas Antonio | |
dc.date.accessioned | 2020-06-03T18:46:00Z | |
dc.date.available | 2020-06-03T18:46:00Z | |
dc.date.issued | 2020-06-03 | |
dc.identifier.uri | http://hdl.handle.net/10415/7247 | |
dc.description.abstract | This study measured the degree of self-direction of students from the Department of Computer Science and Software Engineering at Auburn University. Self-direction was measured through the Personal Responsibility Orientation to Self-Direction in Learning Readiness Scale (PRO-SDLS), a quantitative instrument delivered via an electronic survey. 61 participants completed the survey, with a mean score of 85.88. In addition to measuring PRO-SDLS scores, this study also investigated if there differences in mean PRO-SDLS scores between gender, ethnicity, and age groups, as well as between sophomore, junior, senior and graduate students. No statistically significant difference was found between the groups. These results provide a better picture of self-direction among learners of computer science and software engineering, a field which has not yet been exhaustively researched. | en_US |
dc.subject | Education Foundation, Leadership, and Technology | en_US |
dc.title | Measuring the Self-Directedness of Computer Science Learners | en_US |
dc.type | Master's Thesis | en_US |
dc.embargo.status | NOT_EMBARGOED | en_US |