Personality, Emotional Intelligence, and Alexithymia Correlate with Academic Achievement in Technology Students
Bibliographic record
Abstract
The relationship of emotional intelligence, personality Factors and Alexithymia with academic achievement of undergraduate technology students was examined. Two Parameters of students ‘academic achievement; Cumulative Grade Point Average (CGPA) (N= 181) and Joint Engineering Examination (JEE) rank (N=438) were taken into account. They administered Revised NEO Personality Inventory, The Emotional Intelligence scales and Toronto Alexithymia Scale (TAS-20). CGPA was found negatively correlated with externally oriented thinking (EOT) and total score of Alexithymia. When reserved category students were excluded from the data 138 participants remained. Their JEE positions were not observed significantly correlated with most of the psychological constructs. Surprisingly, CGPA of this group was positively correlated with Neuroticism (probably due to Anxiety (NI). Though, the other big five factors were not significantly correlated with CGPA, but their facets, like warmth (E1), a facet of Extroversion; Straightforwardness (A2) Altruism (A3), facets of Agreeableness; and Dutifulness (C3) and Achievement Striving (C4), facets of conscientiousness have observed correlated.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".