Development and Validation of Digitalized, Contextualized Reading Materials for Grade 3 Learners
Bibliographic record
Abstract
This study developed and evaluated digitalized contextualized reading materials in English for Grade 3 learners of Libas Elementary School in the Division of Agusan del Norte during the school year 2024-2025. The descriptive-development method of research was used in the study, as it was most appropriate to use since the study concentrated with the development and evaluation of the digitalized, contextualized reading materials in Grade 3. Based on the findings, there are (3) three competences namely; homonyms, homographs, and hyponyms in English 3 that could be developed into digitalized contextualized reading materials based on the least learned skills in the third quarter examination of school year 2024-2025. In addition, the five experts evaluated the materials as Very Satisfactory in terms of content quality, instructional quality, technical quality and other finding includes conceptual, factual, grammatical and/or typographical errors. Comments and suggestions were offered by the five respondents to further improved the developed digitalized, contextualized reading materials for Grade 3 learners.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".