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Record W3135605721 · doi:10.37571/2021.01012

The Impact of the Project-Based Learning Strategy on Leadership Skills Acquisition among Palestinian Refugees Students in Gaza

2021· article· en· W3135605721 on OpenAlexvenueno aff
Safa Migdad, Amjad Joma, Olivier Arvisais

Bibliographic record

VenueDidactique · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsnot available
Fundersnot available
KeywordsProject-based learningMathematics educationPsychologyControl (management)Medical educationPedagogyComputer scienceMedicine

Abstract

fetched live from OpenAlex

This study aimed at investigating the effectiveness of the project-based learning strategy on developing third graders' leadership skills. The research questions were addressed using the experimental approach. The researchers purposively sampled 76 third graders from Al Zaitun Co-ed Elementary C School in Gaza and randomly sampled two classes of third graders. Participants were divided into two equivalent groups, each consisting of 38 students. The project-based learning strategy was used for teaching English to the experimental group, whereas the traditional method was used for the control group. The study tool consisted of an observation card on which the student's leadership skills were rated pre- and post-application. Data were analyzed using the Statistical Package for Social Sciences. Independent samples t-test and effect size were used in the analysis. Results revealed higher mean scores in leadership skills for the experimental group in the post-application observation card. The researchers attributed these findings to the project-based learning strategy and recommend its use in teaching English to develop leadership skills. Further research is needed to investigate the effect of other project-based learning strategies on other grade levels and life skills.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.034
GPT teacher head0.379
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2021
Admission routes1
Has abstractyes

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