Upaya penguatan kompetensi guru TPQ se-Kecamatan Mijen Kabupaten Demak melalui pelatihan evaluasi pembelajaran
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The rapid development of Al-Qur'an Education Parks (TPQ) today is both a blessing and a challenge. The blessing is that many TPQ institutions will produce a Qur'anic generation. However, the challenge is how these institutions can produce a Qur'anic generation if they are not balanced with improvements in quality, both in terms of institutional management and teacher quality. The objective of this activity is to enhance the competencies of TPQ teachers in managing learning evaluations. The method used is Participatory Action Research (PAR) following Vincent II’s 9-step process: team formation, goal formulation, stakeholder identification, needs assessment and analysis, priority setting, preparation, implementation and monitoring, review and evaluation, and determination of new needs and objectives. The target of this activity is for TPQ teachers in Mijen Sub-district to be able to create effective learning evaluation administration. The results of the community service indicate that TPQ teachers can appreciate the importance of learning evaluation and are capable of creating standardized assessments using student achievement records. The implementation of this competency enhancement activity received a positive response from TPQ teachers, allowing for the development of future activities that can be more varied.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it