Investigating Life Quality of the Department of Computer Education and Instructional Technologies (CEIT) Students in Terms of Various Variables
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».