Professional Learning Development for Classroom Action Research in Entrepreneurship Subjects in Indonesia
Bibliographic record
Abstract
The study adopted an Action Research (AR) framework in devising professional learning strategies that help improve the learning advancement among entrepreneurship teachers in Indonesia in enhancing the effectiveness of learning and students' engagement. The study was iterative: data was collected through cyclical phases of planning, action, observation, and reflection and was carried out with 15 educators at 5 high schools. We integrated Project-Based Learning (PBL) instructional practices and more use of digital tools. We administer pre- and post-intervention surveys, conduct classroom observations, and assess student performance. The results were significant improvements in teacher competencies, with post-intervention scores increasing by up to 30.77%, and student engagement increased from 68% to 85%. The study concludes that AR-based development strengthens entrepreneurship teaching, enhances student-centered learning, and offers a scalable, effective model for educational innovation in resource-limited environments.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".