The Effectiveness of Using Teacher-Teacher Wikis in Collaborative Lesson Planning and Its impact on Teacher’s Classroom Performance
Bibliographic record
Abstract
<p>The paper highlights the main aspects and characteristic features of teacher-teacher Wikis, which are considered to be the most effective teaching and learning tools. The research studies the effectiveness of using Wikis by teachers during collaborative lesson planning. It also traces the impact of teacher-teacher Wikis on the teachers’ performance in the classrooms. Teaching collaboration has been studied as a crucial element as it involves planning and working together. Three EL teachers for the 5<sup>th</sup> elementary grade in elementary schools in Riyadh were chosen to be the study participants. The research was carried out during a four-week period. In order to collect data and achieve the study’s goal, four tools were used: a questionnaire, observation, interview, and text analysis. The research results proved the idea that using teacher-teacher Wikis in collaborative lesson planning is effective and improves teachers’ performance.</p>
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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 | 0.006 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".