Problem-Based Learning: A Learner-Centered Approach to Upsurge Academic Triumph in Social Science Classroom
Bibliographic record
Abstract
Problem-Based Learning (PBL) is a useful learner-centered approach in which learners collaborate within small groups to solve an authentic ill-structured problem that has no right or wrong answer. However, facilitating and designing PBL can be challenging for teachers as well as for learning environment with learners with diverse needs. The main purpose of this action research is to upsurge the academic triumph of Grade 12 Senior High School Learners using PBL in teaching Social Science Classroom. Specifically, this action research sought to answer the following questions: (1) what is the level of learners academic performance in terms of their quarterly grades in UCSP as to their 1st Quarter Grade and 2nd Quarter Grade? (2) what is the mean difference between learners academic performance in terms of their 1st and 2nd quarter grade in UCSP? and (3) how do the learners describe their lived experiences during and after the implementation of problem-based learning as a learner-centered approach in teaching social science classroom? The study is limited to Grade 12 learners from Understanding Culture, Society, and Politics Class of Sta. Catalina Integrated National High School from September 2022 to October 2023. In the conduct of the action research, Mixed Method Research was used to gather necessary data and information. Mean and standard deviation were analyzed using descriptive statistics for quantitative data and thematic analysis for qualitative data gathered from focus group discussions. The findings have shown that PBL as a learner-centered approach to teaching social science, had a large and positive effect to upsurge the academic triumph of Grade 12 learners which marks Very Satisfactory on the level of their academic performance in UCSP Class. For an instance, the conduct of more studies on the different factors affecting PBL integration and specific effects of PBL on various learner domain is recommended to facilitate comparative educational research in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".