Integration of Action Civics Strategic Intervention Materials (ACSIM) for Improved Learners’ Performance in Araling Panlipunan 8
Bibliographic record
Abstract
The study aimed to integrate Action Civics Strategic Intervention Materials (ACSIM) in Araling Panlipunan 8 for improve learners’ performance at Dolores National High School. Specifically, it sought to: determine the profile of learner respondents; find out the perceived level of engagement on action civics activities; describe and interpret the pretest scores; identify the least mastered competencies; describe and interpret the posttest scores; and find out if there is a significant difference between the pretest and posttest mean scores of the learner respondents. Likewise, the researcher employed the descriptive method and designbased research in this study. Findings revealed that majority of the respondents were 14.38 years old; females; and, with the average family income of PhP.12, 667.30. The perceived level of engagement on action civics activities was found to be all together HIGH as to youth voice, youth expertise, learning by doing and reflection. The mean performance of the learner respondents’ scores in the pretest in AP 8 for Third Quarter before integration of ACSIM was found 16.05 with the verbal interpretation of AVERAGE. The Least Mastered Competencies in AP 8 for the Third Quarter were as follows: MELC # 3 - Nasusuri ang mga dahilan, kaganapan at epekto ng rebolusyong siyentipiko, enlightenment at industriyal; MELC # 4 - Naipaliliwanag ang kaugnayan ng rebolusyong pangkaisipan sa rebolusyong Amerikano at Pranses; MELC # 5 - Nasusuri ang dahilan, pangyayari at epekto ng ikalawang yugto ng kolonyalismo (Imperyalismo). The mean performance in the posttest in AP 8 for the Third Quarter after integration of ACSIM was found to be 25.03, with verbal interpretation of HIGH. More so, there was a significant difference between the pretest and posttest mean scores of the learners. It can be inferred that the integration of ACSIM has a large effect in improving the performance of learners in Araling Panlipunan 8. The pretest has served the purpose of a diagnostic test to identify the strengths and weaknesses of the learners. Lastly, subject teachers can make customized and user – friendly strategic intervention materials effectively.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".