Student Opinions on their Development of Non-technical Skills in IT Education
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
It is recognized that non-technical or soft skills are a vital part of the IT curriculum and hence are considered to be core curriculum components, particularly in the USA and Australia and is also an important worldwide issue. An extensive analysis within an Australian university context found a mismatch between employer expectations and the university-based instruction in these skills. However, it was noted that this unpreparedness in soft skills may be because students may not have appreciated the importance of these skills – a result confirmed by this study, which used a questionnaire delivered to project students undertaking a range of IT based courses. Internships are not common in Australia and hence to address this problem guest speakers from industry are now regularly invited to give presentations to project students. Furthermore it was also found that those students who had workplace experience more fully appreciated the role of workplace soft skills than those who did not have such experience. This study clearly indicates the importance of a team based project unit for teaching soft skills. A further implication is that students need to be made aware of the importance of soft skills in the workplace as a part of their studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it