Education under Siege and Fire: Experiences of PBL for Leadership Skills Development from Gaza
Bibliographic record
Abstract
Designing and implementing emergency education solutions during an ongoing crisis is a significant issue. Since 2007, the Israeli blockade and the ongoing conflict have had a significant negative impact on the education sector in Gaza. This field note addresses the issues affecting the education sector in the Gaza Strip and outlines Project-Based Learning (PBL), an education technique for developing leadership abilities that could serve as an emergency response to education. This intervention was done with 76 third graders from Al Zaitun Coed Elementary C School in Gaza and two classes of third graders were selected at random. The participants were separated into two groups of equal size, each containing 38 pupils. The experimental group was taught English using the project-based learning strategy, whereas the control group was instructed using the traditional way. The research instrument was an observation card on which the student's leadership qualities were scored prior to and after application. On the post-application observation card, the experimental group's leadership skills were rated higher on average by the results. These findings were attributable to the project-based learning technique, which the researchers advocate for developing leadership abilities in English classes.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".