Optimism, interest and gender equality: comparing attitudes of university students in Latvia and Ukraine toward IT learning and work
Bibliographic record
Abstract
Global processes of digitalisation are transforming learning and work. University students in all nations are under pressure to develop positive and productive technology-related skills and dispositions. This study investigates the attitudes of 1,006 Latvian and Ukrainian university students towards information technology. Survey responses from the Attitudes towards Information Technology scale were collected, validated, analysed and interpreted. By generating group-response profiles and conducting multivariate analyses of variance, the attitudinal orientations of participants were compared, and significant differences between gender and nation subgroups identified. From a gender perspective, one noteworthy finding is that males in both countries expressed a significantly higher interest in learning about IT than females. From a national perspective, Ukrainians reported significantly higher optimism about IT in the workplace than Latvians. This study produces several novel findings addressing the attitudes of Eastern European university students towards information technology and their readiness for digitalised learning and work.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".