Teachers’ Learning Empowerment for Enhancing Students’ Positive Thinking Skills
Bibliographic record
Abstract
This research introduces an innovative initiative titled "Online Self-Training Program for Empowering Teachers' Learning to Strengthen their Students' Positive Thinking Skills." The program aims to enhance teachers' professional development and promote positive thinking skills among students. 1. Enhancing Teachers' Knowledge: The first component focuses on providing educators with a thorough understanding of positive thinking skills through well-structured learning modules based on authoritative literature. Topics include the definition, significance, and practical strategies for fostering positive thinking in the classroom. 2. Applying Knowledge for Student Success: The second component enables teachers to implement the acquired knowledge to enhance students' positive thinking skills. A rigorous one-group pretest-posttest experimental design was employed, involving eight teachers and 26 students. The findings are significant, with the program meeting the established criteria of 90/90 and showing marked improvement in post-test scores. This confirms the initiative's effectiveness as a valuable resource for educational settings. Ultimately, this program fosters a culture of positivity and resilience among students.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".