Extent of Compliance of Alternative Delivery Modes in Senior High School: Basis for an Intervention Plan
Bibliographic record
Abstract
In order to maintain learning continuity during extended school disruptions, the Philippine educational system had to make the transition to Alternative Delivery Modes (ADM). The purpose of this study was to assess the level of ADM implementation and compliance in senior high schools in the Camalaniugan District during the 2024–2025 academic year. The study included document analysis, interviews, and survey questionnaires as part of a descriptive-correlational research design. Teachers chosen through purposive sampling were among the respondents. To ascertain the associations between variables, quantitative data were evaluated using weighted mean, frequency, percentage, and Pearson's r. The results showed that although ADM standards were somewhat met, problems remained in areas including poor internet access, delayed module creation and delivery, more work for teachers, and little parental assistance. In spite of this, schools showed flexibility by creating community learning centers and fortifying their relationships with regional partners. The effectiveness of implementation and adherence to ADM standards were found to be significantly positively correlated. The study comes to the conclusion that localized innovations and ongoing institutional support are essential for enhancing the delivery of ADM. It is suggested that DepEd strengthen ADM-specific teacher preparation and resource mobilization, as well as institutionalize barangay-based learning support centers.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".