Didactic Strategy to Develop Socioemotional Competencies in University Students
Bibliographic record
Abstract
The university is an environment that allows the student to be able to diversify different situations, and there is a need to train sensitive and empathetic professionals for a competent society. The objective of this research was to design a didactic strategy to develop socioemotional competencies in students at a university in Lima. A qualitative methodology of non-experimental, cross-sectional, and descriptive design was used. The sample consisted of 34 students and four teachers. The techniques used included questionnaires, observations and interviews. The results showed 11 emerging categories, seven of which were approximate to the a priori category and four were influential in the research. A validated didactic strategy was presented with two lines of action composed of three stages: classroom emotional diagnosis, management of socioemotional teaching activities, and transformative evaluation; all under a model of Social and Emotional Learning, the Theory of Emotional Intelligence, and the epistemological positions of Neuroscience in Learning.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".