Examination of the Relationship Between Teacher Candidates’ Emotional Intelligence and Communication Skills
Bibliographic record
Abstract
In this study, the relationship between teacher candidates’ emotional intelligence levels and communication skills was examined. It was examined whether there was a significant difference between teacher candidates’ emotional intelligence and communication skills, depending on gender and the departments they studied at. The research was designed in relational screening model. The universe of the research consists of teacher candidates, who are students at Necmettin Erbakan University Ahmet Keleşoğlu, Faculty of Education. In this universe, 326 teacher candidates were selected as the research sample. “Emotional Intelligence Scale” and “Communication Skills Inventory” were used to collect data. In the analysis of the data, one-way variance analysis and independent samples t-test, one of the parametric tests, were used. It is observed that there are low levels of positive relationship between teacher candidates’ communication skills and their emotional intelligence levels. No significant difference was found between teacher candidates’ emotional intelligence levels and communication skills regarding gender and department variables.
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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 | 0.001 | 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 | 0.000 | 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".