The Zone of Proximal Development in Pre-service Teacher Training A Case Study on ZPTD in Lesson Plan Design
Bibliographic record
Abstract
This study explores the application of Vygotsky’s zone of proximal development in pre-service teacher training by investigating the effectiveness of ZPTD in lesson plan design. A qualitative research approach has been utilized to gather and analyze both versions of a lesson plan designed by a pre-service teacher (the researcher). The revised lesson plan, with appropriate scaffolding from the instructor and suitable advice from peers, is more balanced and better developed when compared to the original version that created by the pre-service teacher alone. In comparison to effects of microteaching, students show increased engagement and motivation in the modified lesson plan implementation, indicating that the pre-service teacher has reached the potential level in lesson plan design with the help of the instructor’s scaffolding. By bridging the gap between the pre-service teacher’s current and potential level of designing a lesson plan, this study shows that ZPTD can be applied in pre-service teacher training on lesson plan design.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".