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Record W3023946486 · doi:10.5539/gjhs.v12n5p80

Effect of the Constructivist Method on Junior Secondary School Students’ Achievement in Poetry: Implications for School Counseling in Nigeria

2020· article· en· W3023946486 on OpenAlexvenueno aff
Felix Okechukwu Ugwuozor, Moses Onyemaechi Ede, Godwin C. Abiogu, Justus Chidi Ugwu, Damian C. Ncheke, Amuche Patricia Nnamani, Florence Chiji Albi-Oparaocha, Chinweike Obiweluozor

Bibliographic record

VenueGlobal Journal of Health Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsConstructivist teaching methodsPsychologyContext (archaeology)Mathematics educationPoetryIntervention (counseling)Teaching methodAcademic yearAcademic achievementClass (philosophy)Achievement testPedagogyMedical educationMedicineStandardized testArt

Abstract

fetched live from OpenAlex

This study examined the effect of the constructivist method on junior secondary school students’ achievement in poetry in Nigeria. Sixty junior secondary class-two students participated in the study. The instrument used was a questionnaire developed by the researchers. The experiment consisted of 12 weeks of full intervention and 6 weeks of follow-up meetings. The study used repeated-measures ANOVA to see the achievement level in poetry of each participant across control and treatment groups post intervention. Results show a significant effect for the constructivist method on achievement in poetry among students in the treatment group compared to the control group. They also show that the effect of the constructivist method on students’ achievement in poetry is not determined by gender. The implications for research and practice are discussed in accordance with these outcomes. The researchers conclude by emphasizing the importance of a follow-up study in the Nigerian context that would make the teaching method more robust through the use of the constructivist method for high academic achievement and improved school counseling.

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)0.029
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.439
Teacher spread0.411 · 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 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
Published2020
Admission routes1
Has abstractyes

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