Exploratory Assessment of the Factors of Personality Trait of Mathematics Teacher’s that Effects on the Academic Achievements: A Statistical Surveyed Approach
Notice bibliographique
Résumé
The interaction between teachers and students is one of the aspect that helps the students in their career grooming because teacher's personality and their behavior is responsible for his/her effectiveness in the teaching and plays an important role in learning process in terms of achievement and success in the classroom as well as in their entire life. It has been proved that the personality factors such as extraversion, conscientiousness, openness to experience, neuroticism and agreeableness are the key characteristics of teachers’ personality and behavior. The aim of this study is to investigate the effect of teachers’ personality on students’ academic achievement particularly in mathematics subject. In order to pursue the objectives of the study, researcher used quantitative paradigm. Researcher adopted the survey research design for collection of quantitative data. In this way, Big Five Inventory (BFI) is used to identify the teacher’s personality type. This inventory comprised of forty statements about big five personality traits (eight statements about each personality trait). Moreover, the quantitative data is also collected from students’ midterm examination results from the chosen schools. A total of fifty seven public schools and forty five private schools were selected through stratified random sampling technique. The participants of the study comprised of public and private sector elementary 6th -8thgrade school teachers of Karachi, Pakistan. The reliability of the data is found to be around 0.7 of each construct in both sets of data. An independent t test was used to analyze the difference in responses of public and private school teachers. The significance value (P-value) of this indicates that there is statistically significant difference among responses of public and private school teacher’s responses regarding their personality styles that affect the academic achievement of the students. Furthermore, for an inside study a multivariate statistical tool “Exploratory Factor Analysis (EFA)” was used to explore and identify the most important factor in the data. Finally, four factors emerged in the data. The factors emerged in both of sets of data indicates that combination of Agreeable and Conscientious are the most important personality style of teachers that may affect the academic achievement of 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 | 0,005 | 0,000 |
| 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 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 ».