Psychological attributes and work-integrated learning: an international study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to explore – on an international level – the relationship between work-integrated learning (WIL) and several psychological attributes (i.e. hope, procrastination, self-concept, self-efficacy, motivation, and study skills) believed to be important for a successful transition to the labor market. Design/methodology/approach – A between-subjects design was used with participants in one of two groups: WIL and non-WIL. The design provided data on the effects of the independent variable (WIL) on a number of dependent variables (attributes) across four countries. Data were collected via an online survey and analyzed using a series of ANOVAs and MANOVAs. Findings – WIL and non-WIL students in the four countries shared several attributes – however – significant differences also emerged. WIL compared to non-WIL students compared reported stronger math and problem solving self-concepts, yet weaker effort regulation and perceived critical thinking skills. WIL students were more extrinsically motivated than their non-WIL peers in three of the four countries. Female students in WIL reported being the most anxious compared to other students. Research limitations/implications – Self-reports to measure psychological attributes and the small sample sizes at some of the institutions are limitations. Originality/value – The positive relationship between participation in WIL and several aspects of positive self-concept are provided. In addition, data are provided indicating that overall there are more similarities than differences between WIL and non-WIL students on a number of psychological outcomes. Data also suggests that females who participate in WIL may be at risk for anxiety problems.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it