Factors Affecting The Performance Of Senior Two Students In Chemistry In Rutsiro District Of Rwanda
Notice bibliographique
Résumé
Performance in chemistry has been observed as an issue in secondary schools based on attitudes of students toward chemistry lesson, how is taught in class and availability of needed infrastructures that help to conceptualize lesson in chemistry. The classroom hands on, mind on activities, change of attitudes of students, and awareness of stakeholders to provide adequate infrastructures are needed to ensure effectiveness of teaching and learning chemistry in schools in order to improve the performance. The present study was carried out to determine the level of senior two students’ performance in chemistry and to find out the important factors affecting senior two chemistry performance in Rutsiro district, of Western province of Rwanda. The deductive research design was considered and the research was conducted in 5 schools. The target population was 130 respondents that included 100 students, 5 teachers, 5 head teachers and 5 deputy head teachers in charge of studies and 15 PTC members. In this study, purposive and simple sampling techniques were used to select students, teachers and administrative staff to take part in this study. Two instruments namely questionnaires and documentary class performance reports were used to collect data on the factors affecting senior two students’ performance in chemistry. The descriptive statistics were used to present the data and the results were analyzed by SPSS and analysis of frequency, percentage, p value and t- value were used in the present study. The data from the documentary class performance report showed that 71.0% of senior two students have poor performance (performance below 50% marks). The data from questionnaires and respondents showed that factors linked with the poor performance are less activity-based technique of teaching and learning, bad attitudes of students toward chemistry and lack of enough students’ resources materials, low back profile of their families, despites the teacher and administrative staff have higher qualifications needed to deliver the quality education. Teachers, parents, school administration have to be mobilized to motivate students in liking chemistry as core subject. Decision makers have to avail equipped laboratory with enough reagents, library with sufficient chemistry books and textbooks, smart classroom and internet connectivity to enhance teaching- learning.
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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 | 0,000 | 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 | 0,000 |
| 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 ».