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Record W1562013053

PROJECT APPROACH IN SCIENCE:AN EXPLORATORY CASE STUDY

2014· article· en· W1562013053 on OpenAlexvenueno aff
Halim Marzuki Mohd, Yassin Sopia

Bibliographic record

VenueEarly childhood education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationExploratory researchCase study researchPsychologyScience learningFocus groupResearch designScience educationPedagogyComputer scienceKnowledge managementSociology
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study is to investigate the effectiveness in implementing Project Approach (PA) among year one pupils. The focus of this study is to identify pupils’ alternative concepts while implementing PA in the chosen science topic. An exploratory case study research design and purposeful sampling was employed in a year one classroom consisting of 22 pupils from different background and abilities. In this study, PA was used as a teaching and learning approach, whereby pupils carried out science projects according to the phases in PA. This study employed observations, interviews and document analysis techniques to collect data. Through the projects, the study found that PA was able to elicit pupils’ alternative concepts related to float and sink through representations in the form of drawings and verbal interactions which were recorded. This study provide implications on teaching and learning that needs to take into consideration pupils’ prior knowledge in ensuring the formation of scientific concepts.

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)0.016
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.004
Scholarly communication0.0040.004
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.331
Teacher spread0.303 · 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 designCase report
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
Published2014
Admission routes1
Has abstractyes

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