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Record W3036916952 · doi:10.5430/ijhe.v9n4p216

In Search of an Effective Teacher: Ghana’s Move towards Achieving Sustainable Education through Teacher Education Reforms

2020· article· en· W3036916952 on OpenAlexvenueno aff
Kenneth Adu-Gyamfi, Charles Deodat Otami

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumTeacher educationIdeologyContext (archaeology)Independence (probability theory)PedagogyEducation policyEducation for sustainable developmentQuality (philosophy)Sustainable developmentPolitical sciencePoliticsSociologyHigher educationEconomic growthEconomics

Abstract

fetched live from OpenAlex

Ghana has experienced a number of education reforms in the post-independence era and the study aimed at examining Ghana’s attempt at finding an effective teacher, in relation to sustainable education, through teacher education reforms. Qualitative approaches, such as documents analysis and interviews with 10 experienced college educators, were the methodology for the research. After constant comparison, students’ quality and entry requirements, changes in curriculum, and role of development partners in education reforms affected quality of teacher education. However, cultural context, support systems, and educator professional development are means of achieving sustainable basic education. Ghana should, therefore, have teacher education policy for a reasonable period of time, uninfluenced by change in political power and ideologies, but tailored to socio-cultural and economic needs of the people; preparing motivated-teachers to accept the profession as a chosen-career.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.398
Teacher spread0.376 · 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 designNot applicable
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

Citations15
Published2020
Admission routes1
Has abstractyes

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