Pre-Service Teacher Competence in a Teacher Education Institution
Bibliographic record
Abstract
This study aimed to describe the level of competence of pre-service teachers of Camarines Norte State College College of Education in terms of the Philippine Professional Standards for Teachers (PPST) and the significant relationship between their academic performance and level of competence. The study employed the descriptive-correlational research design. Data used in this study came from a survey of BSEd and BEEd pre-service teachers (n=125) and cooperating teachers (n=125) in Camarines Norte, Philippines. A questionnaire consisting of the specific indicators of the PPST was the main data-gathering instrument. The study revealed that the pre-service teachers had an advanced level of competence in Content Knowledge and Pedagogy, Learning Environment, Curriculum and Planning, Community Linkages and Professional Engagement, Personal Growth and Professional Development, and above average level of competence along Diversity of Learners and Assessment and Reporting domains of the PPST. Policies and programs were proposed to improve the level of competence of the pre-service teachers.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".