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Record W4403013371 · doi:10.1016/j.ssaho.2024.101151

Mixed methods study supporting the piloting and scaling of a Gender-Responsive Play-Based Learning training package for pre-primary teachers in Rwanda and Mozambique

2024· article· en· W4403013371 on OpenAlexfundno aff
Ilse Flink, Christina Avildsen, Moisés Mabunda, Claver Yisa, Henrietta Teh, Renee Perez

Bibliographic record

VenueSocial Sciences & Humanities Open · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsTraining (meteorology)PsychologyMathematics educationMedical educationMedicineGeography

Abstract

fetched live from OpenAlex

Despite significant investments to increase access to and improve the quality of primary school education, fewer than half of the world's primary-level pupils have gained grade-level literacy and numeracy skills. While the learning crisis is complex, high-quality early childhood education (ECE) can be a critical piece of this puzzle. Integrating the use of gender equitable, gender responsive and play-based pedagogies into ECE curricula can be an important step towards enhancing the quality of ECE and supporting the school readiness of girls and boys, also in low-income contexts. This study explored the effectiveness of a Gender-Responsive Play-Based Learning (GRPBL) training package for ECE teachers Rwanda and Mozambique on classroom environment and child early learning and development. The study was mixed methods and used Focus Group Discussions, in-depth interviews and standardized classroom and child assessments using the globally validated International Development Early Learning Assessment (IDELA) toolkit. The study showed that in Mozambique, the training had positive effects on classroom environment and consequently on child early learning outcomes, with the strongest effect found on emergent literacy. The training did not succeed at improving the same outcomes in Rwanda. Contextual factors such as high student to teacher ratios, lack of teaching experience and limited support by school leaders and parents, likely constrained teachers in Rwanda to make deep changes to their instructional practices while we did see evidence of such changes in Mozambique. A training on GRPBL, can thus have powerful effects on classroom and child outcomes, even in low resource settings. However, effects may vary depending on the implementation context. To support policymakers, local and international implementers in their journey to improve the quality of ECE, more time needs to go into understanding what type of Continuous Professional Development (CPD) aligns with the existing ECE context and systems so that teachers, children and parents can optimally benefit from CPD opportunities.

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)0.012
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.185
GPT teacher head0.465
Teacher spread0.281 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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