Analysis of Secondary School Students' Attitudes and Self-Efficacy Perceptions towards Physical Education and The Sports Course
Notice bibliographique
Résumé
This study aimed to analyze attitudes and self-sufficiency perceptions of students from different license of sports and students with no sports branches at the secondary school level towards the physical education and sports course. Education should not be based solely on the increased or widespread use of written sources, images, and technological tools and equipment. It is a process in which students are involved in social, mental, and sports activities. However, great emphasis is given to physical education and sports, which have a direct and indirect effect on their physical, mental, emotional and social development, within educational activities. The study included 255 students (120 female, 135 male) studying at two different secondary schools in Şanlıurfa (Vatan secondary school with a sports facility and Ziyaeddin Akbulut secondary school without a sports facility) during the 2019-2020 academic year, and the Physical Education Predisposition Scale was used in the study. The scale is comprised of 11 items. It consists of two factors, namely 'Attitude' (6 items) and 'Self-Efficacy' (5 items). A significant difference between these schools was found based on the findings obtained from this scale. When the results were examined according to the gender variable, it was found that there was a significant difference between male students and female students in terms of the total scale dimension. Again, a significant result in favor of males was found in terms of self-efficacy dimension scores. In terms of sports branches, a significant difference was found between students who are licensed athletes and those who are not. However, no statistical difference was found when examined in terms of the family profession group. According to the attitude dimension results, there was a significant difference between students engaged in basketball and students engaged in handball as well as students without a branch and students engaged in handball. According to the results of the self-efficacy dimension, there was a significant difference between students without a branch and students engaged in basketball as well as those without a license and those engaged in handball. According to our findings, it is thought that the significant difference between the license is related to the reflection of the attitudes of physical education teachers in schools onto the students.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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) | 0,001 | 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 ».