Emotional Intelligence: Its Relations To Communication and Information Technology Skills
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
Emotional intelligence comprises of several important elements which enhance the ability of several keycompetencies. This study attempts to examine the relationship between emotional intelligence, communicationskills and information technology skills among university students in Malaysia. Three thousand one hundred andone final year students from 10 public universities in Malaysia were randomly chosen as samples for this study.The Bar-On Emotional Quotient: Short (EQ-i:S) by Bar-On has been utilized for the purpose of measuringemotional intelligence. An inventory by Moreale, Spitzberg and Barga was used to measure communicationskills while the Computer Efficacy Scale by Murphy, Coover and Owen was utilised to measure skills ininformation technology. Results showed that there were positive significant relationship between emotionalintelligence and both communication and information technology skills. This study implicates that students withhigh emotional intelligence will have better command in communication skills and information technologyskills.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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