Self Regulated Development Learning Model Based on Local Culture to Improve Elementary School Students’ Explanatory Writing Skills
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
This study aims to develop a learning model to improve elementary school students' explanatory writing skills. This development research used the Plomp model (preliminary research, prototyping phase, and assessment). Data collection techniques were carried out by interview, observation, and documentation study. The data collection tool employed was a written test sheet for students’ explanatory writing skills. After conducting a needs analysis, it was found that the explanatory writing material is new in elementary school. Thus, the students' explanatory writing skills in this study were very low. The teacher then needed a model focusing on the students' development in explanatory writing skills. This research, therefore, produced a learning model of self-regulated strategy development based on local culture to improve the explanatory writing skills of elementary school students. This model can motivate and increase students’ confidence in writing by choosing several strategies provided and measuring, analyzing, and activating early abilities, thereby increasing students’ content knowledge. The results also revealed an increase in students’ explanatory writing skills. Moreover, this special model pays attention to how to write explanatory in elementary school. Further, this model cannot only be used in elementary schools but can also be used at higher school levels. Therefore, future researchers are advised to conduct research by testing the effectiveness of learning models with similar themes at higher school levels.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it