Developing a Model to Enhance Junior High School Teacher 21st Century Learning Management Competencies
Bibliographic record
Abstract
This study pursues a comprehensive tripartite agenda: firstly, to investigate the essential requisites for formulating a model geared towards augmenting teachers’ 21st century learning management competencies; secondly, to design a tailored model aligned with these competencies; and thirdly, to scrutinize the tangible impact of model implementation. Employing a multi-phased approach involving meticulous need analysis, model development, and real-world implementation, this study navigated a dynamic educational landscape. Phase 1 involved 353 participants, collectively shaping the foundation for subsequent phases. Phase 2 harnessed the expertise of five seasoned educators and scholars to collaboratively refine and assess the model. Phase 3 expanded the scope to encompass 24 junior high school teachers and 36 educational stakeholders, further validating the model’s utility. The outcomes highlight a model encompassing curriculum development, learner-centered active learning strategies, media and technology integration, authentic learning assessment, and conducting research for learner development. This comprehensive model was fashioned as a dynamic workshop, integrating face-to-face training, coaching training, and online modules, thereby catering to diverse learning preferences. Remarkably, the model’s implementation elicited substantial benefits: significant enhancements were observed in teachers’ 21st century learning management skills, while students’ 21st century skills also experienced discernible progress. Notably, the model’s overall quality, rigorously evaluated through the CIPPIEST model, reaffirms its excellence and potential for sustainable educational advancement.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".