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Record W2574158202 · doi:10.5539/ass.v13n2p126

Development of Pre-service Science Teachers’ Understanding and Attitude towards Science Project by Teaching Management through Service Learning

2017· article· en· W2574158202 on OpenAlex
Sasithep Pitiporntapin, Tassaneewon Lertcharoenrit

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsDescriptive statisticsService (business)PsychologyScience educationMathematics educationMedical educationPedagogyMedicine

Abstract

fetched live from OpenAlex

The purposes of this research were to develop Pre-service Science Teachers’ (PSTs) understanding and attitude towards science by teaching management through service learning. The participants of this study were 9 volunteer PSTs who enrolled in 15-week Science and Technology Project in School course in the universities in Bangkok. This course focused on PSTs’ application of knowledge about science project to solve problem via doing community service. The researcher gathered data from observation, journal entries, and artifacts in the first semester of academic year 2015. Moreover, informal interviews were used for clarification. For data analysis, the researchers analyzed data with descriptive statistics and content analysis. Findings showed that most PSTs had increased understanding in doing a science project in aspects of integration to other learning disciplines, role of students, and role of advisors. Moreover, PSTs also increased their attitude towards a science project due to the construction of knowledge by themselves, development of many skills, and generation of societal benefits. These findings were considered in terms of further designing other courses activities.

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.

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)0.029
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0350.012
Scholarly communication0.0020.004
Open science0.0040.002
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 head0.136
GPT teacher head0.447
Teacher spread0.311 · 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