From Misconceptions to Empowerment: The Impact of Training-Based HIV Awareness Programs in Senior High School Education
Bibliographic record
Abstract
Introduction: human immunodeficiency virus (HIV) has remained a global health challenge, with adolescents among the most vulnerable groups. In the Philippines, rising HIV cases among youth highlight the urgency of school-based interventions. Misconceptions, stigma, and risky behaviors persist despite national campaigns, underscoring the need for structured, participatory educational programs. Methods: the study employed a mixed-methods design among 59 Senior High School students from Mat-I National High School, Naawan, Misamis Oriental, during the first quarter of SY 2025–2026. Quantitative data were collected using pretest and posttest knowledge, attitudes, and practices (KAP) questionnaires and analyzed through descriptive statistics and paired t-tests. Qualitative data from open-ended responses were thematically analyzed to capture students’ perceptions and experiences of the intervention. Results: pretest findings showed novice to beginner levels of knowledge, awareness, and practices, with common misconceptions about transmission and prevention. After the training-based intervention, posttest results revealed significant improvements (p < 0.05), with most scores reaching intermediate to advanced levels. Students demonstrated increased factual knowledge, supportive attitudes toward people living with HIV, and stronger engagement in safe and responsible behaviors. Thematic analysis highlighted increased awareness, positive perceptions of the training, stigma reduction, behavior change, and a strong demand for more interactive sessions. Conclusions: the intervention proved effective in enhancing HIV literacy, reducing stigma, and fostering responsible health practices among adolescents. Integrating training-based HIV education into school curricula, reinforced by community partnerships and digital strategies, is recommended to sustain long-term impact and support broader prevention goals.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".