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Record W4283121810 · doi:10.5539/jel.v11n4p161

Environmental Education Learning for Enhancing Wetlands Management in the Northeast of Thailand Using Cooperative-Based Learning

2022· article· en· W4283121810 on OpenAlexvenueno aff
Uraiwan Praimee, Prayoon Wongchantra, Kannika Sookngam, Suparat Ongon, Likhit Junkaew, Phanadda Ritsumdaeng, Surasak Kaeongam, Thongchai Pronyusri, Kuantean Wongchantra, Phanat Phothibat, Wutthisak Bunnaen, Pitinuts Sailabat, Weera Thongnetr

Bibliographic record

VenueJournal of Education and Learning · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Education and Local Wisdom
Canadian institutionsnot available
FundersMahasarakham University
KeywordsWetlandTest (biology)Nonprobability samplingPsychologyEnvironmental resource managementEcologyEnvironmental scienceSociologyDemographyBiologyPopulation

Abstract

fetched live from OpenAlex

The purposes of this research were to develop environmental education learning plans to enhance wetland management in the Northeast of Thailand by using cooperative-based learning for being efficient and effective, to study and compare knowledge about wetland management in the Northeast of Thailand, attitudes and environmental ethics before and after learning of undergraduate students and to compare knowledge, attitudes and environmental ethics of undergraduate students with a different gender. The sample used in the research was 107 undergraduate students selected by purposive sampling in the 1st semester of the academic year 2020. The research tools were learning plans on wetland management in the Northeast of Thailand using cooperative-based learning, a knowledge test on wetland management in the Northeast of Thailand, an attitude test, and an environmental ethics test. The statistics used in the research were frequency, percentage, mean, and standard deviation, including hypothesis testing using Paired t-test and F-test (One-Way ANOVA). The results showed that: the efficiency of the learning plans on wetland management in the Northeast of Thailand using cooperative-based learning was 97.78/92.36 and the effectiveness index (E.I.) was 0.9430, indicating that the student’s learning progress increased by 94.30%. The undergraduate students had an average score of knowledge about wetland management in the Northeast of Thailand, attitudes and environmental ethics in the post-test was higher than the pretest statistical significance (p < .05). There was no difference in the knowledge score of wetland management in the Northeast of Thailand and attitudes of undergraduate students of different gender (p > .05). And there was a statistically significant difference in environmental ethics of undergraduate students of different gender (p < .05). Male’ score of environmental ethics about wetland management in the Northeast of Thailand was higher than females.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.021
GPT teacher head0.330
Teacher spread0.309 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2022
Admission routes1
Has abstractyes

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