ASSESSING THE RESEARCH CAPABILITY OF TEACHERS IN THE ALTERNATIVE LEARNING SYSTEM: FACTORS INFLUENCING EFFECTIVE RESEARCH SKILL DEVELOPMENT IN DEPED REGION XI
Bibliographic record
Abstract
Abstract: This study assessed the research capability of Alternative Learning System (ALS) teachers in DepEd Region XI, examining the factors that influence their research skills. Specifically, it focused on teachers’ research knowledge, attitudes toward research, and the barriers they face in conducting research, alongside their research capability in conceptual, computational, and technical skills. Using a quantitative non-experimental research design with a descriptive-correlational technique and regression analysis, data were gathered through a structured survey instrument. Findings indicated a moderate research capability, with strengths in computational skills but challenges in conceptual and technical aspects. While teachers had high research knowledge and positive attitudes, barriers such as limited resources, time constraints, and insufficient training hindered research engagement. Statistical analysis indicated a significant positive correlation between research knowledge, attitudes toward research, barriers to conducting research, and overall research capability. Moreover, research knowledge emerged as the strongest predictor of teachers’ research capability. These findings underscore the need for targeted interventions to strengthen ALS teachers’ research culture and skills, ultimately improving evidence-based educational practices. Keywords: alternative learning system, attitudes toward research, barriers, DepEd Region XI, research capability, research knowledge. Title: ASSESSING THE RESEARCH CAPABILITY OF TEACHERS IN THE ALTERNATIVE LEARNING SYSTEM: FACTORS INFLUENCING EFFECTIVE RESEARCH SKILL DEVELOPMENT IN DEPED REGION XI Author: Erwin C. Belain, Jihan A. Labrador International Journal of Novel Research in Interdisciplinary Studies ISSN 2394-9716 Vol. 12, Issue 2, March 2025 - April 2025 Page No: 1-21 Novelty Journals Website: www.noveltyjournals.com Published Date: 03-April-2025 DOI: https://doi.org/10.5281/zenodo.15130564 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/ASSESSING%20THE%20RESEARCH%20CAPABILITY-03042025-6.pdf
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".