Perceptions of professors from a private university about their skills and needs to develop and promote research
Bibliographic record
Abstract
Introduction: University education must be based on teaching, outreach and scientific research. Honduran universities have education policies, but there are limited research achievements. The study aim was to evaluate professor profile and the research needs at a private university in Honduras. Methods: Data collection was carried out through a digital survey sent to professors at the Centro Universitario Tecnológico (CEUTEC), part of the Universidad Tecnológica Centroamericana (UNITEC) in San Pedro Sula (SPS). Study period was the third academic quarter of 2017. A total of 160 out of 233 professors were surveyed. Factors analyzed were professors´ background, resources and interest in conducting research. Results: More than half professors reported having a master's degree. Additionally, 83% (132/160) stated they had the willingness to conduct research and publish papers. Almost all professors (94%; 150/160) reported being interested in improving their research skills. Conclusion: Based on the study results, the CEUTEC-SPS professors showed interest in training and research but need support to develop it.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".