Investigating Life Quality of the Department of Computer Education and Instructional Technologies (CEIT) Students in Terms of Various Variables
Bibliographic record
Abstract
The purpose of the study was to analyze the life quality of CEIT (Computer Education and Instructional Technologies) students according to their perception of gender, age, health status and level of income. The data were collected from the students studying at the third and fourth grades in CEIT undergraduate programs of Education Faculties affiliated to two different state universities. Among these students, 129 were third grade and 44 were fourth grade students. 86 of the students were female and 87 were male. While there were 34 students with a current disease, the number of students without a current disease was 139. Students’ perception of family income was at medium and low levels. 123 students who had the perception that their family had a medium level of income and 50 students who had the perception that their family had a low level of income were within the scope of the study. The World Health Organization Quality of Life Scale-Short Form (WHOQL-BREF) was used as the measurement tool. The scale adapted into Turkish included 29 items and five sub-dimensions. In terms of the variable of gender, physical health life quality perception of the students was found to be different in favor of female students. It was determined that the perception of physical health quality of life did not differ between students according to the presence of a current disease and family income. No significant difference was found in psychological life quality perceptions of the students in terms of their gender, current disease and level of income. However, the difference between the scores related to the psychological sub-dimension were found to be significant according to the common effect of gender-health, gender-income and gender-health-income perceptions. The social relations life score average of male students was found to be higher rather than the average score of females, and moreover, average score of the students with low-income perception was found to be higher rather than the average score of students with a perception of medium level of income. The perception of social relations life quality of students with low-income perception and without a current disease was determined to be higher rather than the life quality perceptions of the students with low-income perception. It was determined that the age of CEIT students was not a significant predictor of their perceptions related to physical health, and psychological and environmental life quality. However, the variable of age was specified to be a significant predictor of students’ perception on social relations quality of life.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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".