RESULTS-BASED ANALYSIS OF STUDENTS’ ACADEMIC PERFORMANCE IN ENGLISH UNDER DISTANCE LEARNING
Bibliographic record
Abstract
Using the descriptive research design, this study aimed to do a results-based analysis of online and modular distance learning of the students’ academic performance in English on first and second quarter of school year 2020-2021 in Don Manuel Rivera Memorial National High School. The respondents of the study were composed of 50 Online Distance Learning (ODL) Students and 250 Modular Distance Learning (MDL) Students from Grades 7 to Grade 10 levels of Don Manuel Rivera Memorial National High School. This is a descriptive study using the questionnaire as the main tool in gathering the data. The data gathered were treated using frequency distribution and percentage statistics, weighted mean, standard deviation, and T-test. The mean level of parents’ support to ODL students was 2.72 interpreted as “Moderately Supportive” indicates that parents are somehow extending additional support to their children in accomplishing the tasks given to them. On the other hand, the mean level of parents support to MDL students was 2.95 interpreted as “Moderately Supportive” indicates that only few parents extend their support to their children despite the awareness that their children have no direct contact to their subject teachers to give them assistance in understanding the lessons. This concludes that students under online distance learning gets more instructional support rather than the students under modular distance learning which gives a huge impact to their academic performances.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".