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Record W3034696934 · doi:10.5539/elt.v13n7p19

The Effect of Project-Based Learning Model on Persuasive Writing Skills of Saudi EFL Secondary School Students

2020· article· en· W3034696934 on OpenAlexvenueno aff
Majed Alotaibi

Bibliographic record

VenueEnglish Language Teaching · 2020
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationSignificant differenceTest (biology)Quasi-experimentTeaching methodControl (management)Experimental researchPopulation

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the effect of project-based learning model on persuasive writing skills of Saudi EFL secondary students. The design of the study was quasi-experimental approach using pre and posttest for control and experimental groups. Participants were consisted of (59) students of third grade secondary school, randomly divided into two groups: experimental group consisted of (30) students and control group consisted of (29) students. Experimental group was taught using project-based learning while control group was taught using the traditional method. All participants were tested using the pre/post persuasive writing performance test before and after the intervention. The difference between the posttest's mean scores of the control and experimental groups were calculated using independent samples T-test. The result showed that there was a significant difference between the posttest's mean scores of the control and the experimental groups in favor of the experimental group. It was concluded that participants’ level of persuasive writing performance significantly developed after receiving the explicit project-based learning model.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.368
Teacher spread0.354 · 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 designNon-randomized trial
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

Citations46
Published2020
Admission routes1
Has abstractyes

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