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Record W4384930425 · doi:10.5539/jel.v12n5p188

Enhancing Grade 5 Student Geography Skills and Learning Achievement: A Problem-Based Learning Approach

2023· article· en· W4384930425 on OpenAlexvenueno aff
Pritchayada Sonrum, Wittaya Worapun

Bibliographic record

VenueJournal of Education and Learning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsnot available
FundersMahasarakham University
KeywordsMathematics educationAcademic achievementProblem-based learningStudent achievementPsychologyCluster samplingTeaching methodMedical educationMedicinePopulation

Abstract

fetched live from OpenAlex

This study explores the potential of Problem-Based Learning (PBL) in primary school education and investigates its impact on geography skills, learning achievement, and satisfaction. The purpose of the study is to assess the effectiveness of PBL as a student-centered approach in enhancing learning outcomes. The participants consisted of 43 grade 5 students from schools in Thailand, selected through cluster random sampling. The study employed geography skill and learning achievement assessments, along with satisfaction surveys, as research instruments. The results revealed significant improvements in participants’ geography skills and learning achievement, with high levels of satisfaction reported. These findings highlight the effectiveness of PBL in primary school education and underscore the importance of implementing student-centered approaches. Further research is recommended to examine the long-term effects and sustainability of PBL implementation in primary school settings, promoting ongoing advancements in educational practices.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.346
Teacher spread0.328 · 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 teacher head, not a consensus.

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

Citations4
Published2023
Admission routes1
Has abstractyes

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