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Record W4408666054 · doi:10.5539/hes.v15n2p158

Enhancing Science Process Skills and Scientific Mind with Low-cost mini science experiment kits for Thai 6th Graders

2025· article· en· W4408666054 on OpenAlexvenueno aff
Kanok-on Khampui, Kwanyuen Leamsamrong, Woottipong Rarat, Rattikan Sarnkong

Bibliographic record

VenueHigher Education Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyProcess (computing)Science educationComputer science

Abstract

fetched live from OpenAlex

The purposes of this study were: To examine the effects of low-cost mini science experiment kits on Thai 6th graders' science learning achievement; To investigate how these kits impact Thai 6th graders' Science process skills; To explore their influence on Thai 6th graders' scientific mindset The participants were 111 sixth-grade students from three public schools in a rural province in Northeastern Thailand. The study utilized four key instruments: (1) a set of learning management plans (2) a learning achievement test, (3) a scientific process skills assessment, and (4) a scientific mindset assessment. The results showed that students achieved an overall learning achievement score of 74.71%, a scientific process skills score of 93.56%, and a scientific mindset score of 96.62%, all exceeding the predetermined criteria. These findings indicate that Low-Cost Mini Science Experiment Kits effectively enhance science learning outcomes, encourage hands-on engagement, and support skill development in resource-limited educational settings. The results of the study contribute to the field of science education by demonstrating how affordable, accessible learning tools can promote educational equity and improve science instruction in underfunded schools.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.005
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.485
Teacher spread0.431 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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