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Record W3023396266 · doi:10.5539/gjhs.v12n5p121

Gender differentials in the Use of Instructional Models in Enhancing Adolescents’ Interest and Achievement in Voter Education Contents of Senior Secondary School Government Curriculum

2020· article· en· W3023396266 on OpenAlexvenueno aff
Grace Ogechukwu Ugwonna, Samuel Agozie Ezeudu, Okechukwu O. Nwaubani, Anthonia N. Utoh-Ofong, Obiageli Calista Onyeanusi, Patricia Nwamaka Aroh, Samuel Okechukwu Ome, Luke Chizoba Ezema, Chidi Nathaniel Agbo, Chijioke Chimaobi Offor, Edith Nwakaego Nwokenna

Bibliographic record

VenueGlobal Journal of Health Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumGovernment (linguistics)Test (biology)Achievement testMathematics educationMedical educationQuasi-experimentAcademic achievementPsychologyPedagogyMedicineStandardized testEnvironmental health

Abstract

fetched live from OpenAlex

The study determined gender effect in the efficacy of group investigation and jurisprudential inquiry instructional models in enhancing adolescent students’ interest and achievement in voter education related contents of senior secondary school Government curriculum. The study adopted quasi-experimental non-equivalent pre-test, post-test control group design. Sample for the study consisted of 165 SS II students drawn from senior secondary schools in Nsukka Local Government Area of Enugu state Nigeria. Multi-stage sampling technique was used to select the intact classes from each of the schools that were assigned to the two experimental groups. Data collected using Multiple Choice Government Achievement Test (MCGAT) and Government Interest Inventory (GII) were analyzed using mean and standard deviation for the research questions and ANCOVA for testing the hypothesis at P < 0.05 level of significance. The findings showed that both group investigation and jurisprudential inquiry models were effective in enhancing interest and achievement of male and female students in voter education related contents in senior secondary school Government curriculum. However, group investigation proved more efficacious. These findings were exhaustively discussed with recommendations on how to manage gender factor in using student-centred instructional models in enhancing students’ interest and achievement.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.026
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.096
GPT teacher head0.362
Teacher spread0.266 · 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
Published2020
Admission routes1
Has abstractyes

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