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Record W4410789200 · doi:10.51594/ijmer.v7i5.1929

Rethinking learner-centered teaching in early education: Lessons from a global practice perspective

2025· article· en· W4410789200 on OpenAlexaff
Jane F. Nakato, Chidinma I. Onyeibor, Chinyere E. Ekanem

Bibliographic record

VenueInternational Journal of Management & Entrepreneurship Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsPerspective (graphical)Mathematics educationPedagogySociologyPsychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This paper examines learner-centered pedagogy in early education from a global practice perspective, with particular focus on Uganda and other low- and middle-income contexts. Learner-centered teaching – grounded in constructivist theories of Piaget and Vygotsky – emphasizes active learning, collaboration, and student autonomy. Its relevance for early childhood lies in fostering problem-solving, creativity, and social-emotional skills from a young age. We synthesize international literature and field reports to map the current landscape of learner-centered approaches in early grades, noting examples from Africa, Asia, and Europe. In Uganda, the 2007 “thematic” curriculum reform explicitly aimed to deliver learner-centered instruction in local language but faced implementation barriers and yielded no clear learning gains. Common challenges across low-resource settings include large class sizes, inadequate materials, and weak teacher preparation. Innovative strategies – such as community-based preschool models in Kenya and policy supports for play-based learning – show promise in addressing these barriers. We conclude with policy implications for the United States, highlighting the need for robust teacher training, culturally responsive pedagogy, and equity-oriented early learning initiatives, supported by evidence from international research. Keywords: Learning centered Pedagogy, Early Childhood Education, Education Policy Reform, Global Comparative Education.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.135
GPT teacher head0.537
Teacher spread0.402 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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