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Record W1908197122 · doi:10.21083/ajote.v3i1.2034

The Developmental Conditions of Classroom Teaching and Learning in a Primary School in Zimbabwe

2013· article· en· W1908197122 on OpenAlexvenueno aff
Sibonokuhle Ndlovu, Azwihangwisi E. Muthivhi

Bibliographic record

VenueAfrican Journal of Teacher Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)PoliticsPolitical instabilityCognitionPedagogyMathematics educationPsychologyTeaching methodCognitive developmentSociologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

The paper bases upon the research that was carried in 2010 to investigate the prevailing conditions of schooling and classroom teaching and learning in Southern Zimbabwe, using the Vygotskian socio-cultural theory to analyse the consequences that the breakdown of schooling and classroom teaching and learning had on learners'performance and cognitive development. Using a case study of the specific primary school in Gwanda district, the findings were that classroom teaching and learning in rural Zimbabwe was adversely affected by a conglomerate of contextual factors and worsened by the prevailing socio-economic and political problems resulting in contradictory classroom practices of teaching and learning.The analysis revealed the extent to which classroom teaching and learning had deteriorated and how the cultural practices of this specific tradtion of schooling impede on the possibilities for meaningful learning activities in the classroom. The paper contributes towards an understanding of the effects of the specific cultural conditions of schooling on learners' learning and cognitive development within the prevailing context of socio-economic and political instability in Zimbabwe and suggests ways in which teachers could organise pedagogy to assist their learners' learning and cognitive development.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.312
Teacher spread0.299 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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