Effects of Experience on Teachers’ Self-Efficacy in Secondary Schools
Bibliographic record
Abstract
The present study investigated the effects of teaching experience on teachers’ self-efficacy in Kenyan secondary schools. The study used a sequential explanatory design and the Teacher Self-Efficacy Scale. This scale consisted of a total of 24 items with eight items measuring each of the three domains of teacher self-efficacy: student engagement, instructional strategies, and classroom management. The face and content validities of the modified Teacher Self-Efficacy Scale were ascertained by two experts in Educational Psychology from a Kenyan university. The sample size of the study comprised 327 teachers obtained using stratified random sampling technique. The quantitative data was analyzed using Multivariate Analysis of Variance (MANOVA) but qualitative data from interviews was analyzed thematically. The MANOVA results demonstrate that the effects of experience on teachers’ self-efficacy was significant, Wilk’s λ (7, 319 = 0.945, p = 0.019). The article concludes that Kenyan Teachers’ Service Commission should utilize experienced teachers as resource persons who are attached to several schools. Key words: Experience, Teachers’ Self-Efficacy, Secondary Schools La présente étude a examiné les effets de l'expérience d'enseignement sur l'auto-efficacité des enseignants dans les écoles secondaires du Kenya. L'étude a utilisé un plan explicatif séquentiel et l'échelle d'auto-efficacité des enseignants. Cette échelle comprend un total de 24 éléments, dont huit mesurent chacun des trois domaines d'auto-efficacité des enseignants : l'engagement des élèves, les stratégies d'enseignement et la gestion de la classe. Les validités de face et de contenu de l'échelle modifiée d'auto-efficacité de l'enseignant ont été vérifiées par deux experts en psychologie de l'éducation d'une université kenyane. L'échantillon de 327 enseignants a été obtenu par la technique d'échantillonnage aléatoire stratifié. Les données quantitatives ont été analysées à l'aide de l'analyse multivariée de la variance (MANOVA), mais les données qualitatives issues des entretiens ont été analysées de manière thématique. Les résultats du MANOVA démontrent que les effets de l'expérience sur l'auto-efficacité des enseignants étaient significatifs, Wilk's λ (7, 319 = 0.945, p = 0.019). L'article conclut que la Kenyan Teachers' Service Commission devrait utiliser des enseignants expérimentés comme personnes ressources qui sont attachés à plusieurs écoles. Mots clés: expérience, auto-efficacité des enseignants, écoles secondaires.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".