The Implementation of Mother Tongue-Based Multilingual Education: Seeing It from the Stakeholders’ Perspective
Bibliographic record
Abstract
<p>Mother Tongue Based-Multilingual Education (MTB-MLE) has carved its niche as a practical and effective approach in the educational landscape. It offers a plausible framework for preparing coming generations to become better adaptive and even rich contributors in the globalized and intercultural world. The gate to the new millennium has brought great zeal in and at the same time contestations around this educational alternative.</p><p>This study examined the stakeholders’ perspective on the implementation of MTB-MLE as a pedagogical approach. The stakeholders’ perspective were explored and analyzed through the results of the different focus group discussions among teachers, pupils, parents, local school board, parents-teachers and community association, non-government organization and local government unit.</p><p>Results from this study indicate four main benefits of MTB-MLE, namely: expressing better ideas, building self-confidence, better retention, and promoting friendly environment.</p><p>Meanwhile, the challenges which hinder the implementation of MTB-MLE are grouped into four significant themes: multilingual environment, difficulty in translation, inadequacy of instructional materials, and mandatory compliance to the Department of Education (DepEd) order.</p><p>The significance of the results of this study points out important actions the program can benefit Filipino pupils. Notably, a system that emanated from the higher authorities in which grassroots sector were not consulted, the Department of Education (DepEd) order should be executed by an interface between the higher level management and the local stakeholders. Involving them can undoubtedly contribute in the success of MTB-MLE.</p>
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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 | 0.001 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".