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Record W2572712191 · doi:10.5430/wje.v7n1p33

An Investigation into How Grade 5 Teachers Teach Natural Science Concepts in Three Western Cape Primary Schools

2017· article· en· W2572712191 on OpenAlexvenueno aff
Beata Set, Joanne Hadman, Daniel Opotamutale Ashipala

Bibliographic record

VenueWorld Journal of Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationCurriculumScience educationScientific literacySample (material)PedagogyNatural (archaeology)Class (philosophy)PerceptionPrimary educationData collectionPsychologySociologySocial scienceGeographyComputer science

Abstract

fetched live from OpenAlex

Purpose: The rationale behind this study was to investigate how three Grade 5 Natural Sciences teachers in threeWestern Cape primary schools teach science concepts so as to enable the researcher to gain a deeper understanding andmore insightful perception of the ways in which the pedagogical practices of South African primary school teachersinfluence conceptual learning in the science classroom.Methodology: The sample comprised three teachers in a specific metropole district in the Western Cape. A qualitativeapproach was employed to ensure the collection of rich data.Results: The findings indicated that teachers tend to ignore learners’ misconceptions in class, that they rely heavily oneveryday empirical examples, that they fail to link these empirical examples to scientific concepts and that they devotelittle talk time to explaining scientific concepts.Recommendations: Based on its findings the study proposed a model of classroom practice that focuses onpromoting effective science learning with the aim of developing and transforming the everyday, familiar knowledgeof learners into new understandings of school-based scientific concepts and processes.Conclusion: The data from the study suggested that there may almost certainly be serious shortcomings in theinstructional practices of teachers and that such shortcomings are not confined to the three schools in the sample but areto be found in township primary schools in general. In addition, these shortcomings may require immediateintervention on the part of senior curriculum specialists as well as teacher training higher education institutions (HEIs).

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.004
Open science0.0010.000
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 head0.060
GPT teacher head0.431
Teacher spread0.371 · 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.

Study designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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