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Record W3031171953 · doi:10.5539/res.v12n2p64

Examining the Scientific Argumentation Implemented Through a Social Constructivism-Based Curriculum Designed for Primary Science Education in a Confucian Heritage Culture: A Case Study in Vietnam

2020· article· en· W3031171953 on OpenAlexvenueno aff
Ngô Vũ Thu Hằng, Astrid M. W. Bulte, Albert Pilot

Bibliographic record

VenueReview of European Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsArgumentation theoryCurriculumSocial constructivismConstructivism (international relations)SociologyPedagogyEngineering ethicsMathematics educationEpistemologyPsychologyPolitical scienceEngineeringLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

This study describes the improvement of a science curriculum based on a social constructivist approach in order to support primary students in a Confucian heritage culture in practicing scientific argumentation. The former design is adjusted by the application of an adapted model of the learning placemat for argumentation and by the formulation of concrete teaching-learning activities which are articulated with the application of the adapted learning placemat. The practice of a designed curriculum unit reveals that the designed curriculum can support the primary students in practicing scientific argumentation and in attaining consensually agreed knowledge. Nevertheless, the study also shows that primary teachers and students in a Confucian heritage culture do not pay much attention to the activities of qualifying and rebutting in scientific argumentation. The study recommends that further developmental research needs to deal with the refined problem of how to improve qualifying and rebutting in scientific argumentation in the practice of science lessons in a Confucian heritage culture.

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)0.007
metaresearch head score (Gemma)0.002
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 score0.113
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.201
GPT teacher head0.473
Teacher spread0.272 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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