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Record W3208258488 · doi:10.21083/ajote.v10i1.6637

Classroom Process and Causes of Worsening High School Students' Failure of Literature-in-English in Nigeria

2021· article· en· W3208258488 on OpenAlexvenueno aff
Eucharia Okwudilichukwu Ugwu

Bibliographic record

VenueAfrican Journal of Teacher Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationClass (philosophy)ScheduleGovernment (linguistics)Reading (process)Subject (documents)Local government areaPsychologyLocal governmentProcess (computing)PedagogyMedical educationPolitical scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Current theories of teaching favour students-centred classrooms. In Literature-in-English lessons, active participation of students is essential for optimal learning. This study examined the level of students' active participation in Literature-in-English classrooms as the major reason for the high failure rates of Nigerian students who take this subject in the yearly senior secondary school examinations. The study was carried out in Ibadan metropolis, Oyo State. The mixed method research design was adopted. Class Observation Schedule (r=0.9) and Interview Guide for Teachers were used to gather the data. Random sampling technique was used to select three Local Government Areas (LGAs), 27 public senior secondary schools (9 from each LGA) and one Literature-in-English teacher from each school. All the teachers were observed twice during lessons while 12 of them were interviewed. Results from the quantitative data showed that the classroom process was teacher-dominated, and students' level of participation was very low. Students hardly asked questions and teachers did not use teaching techniques that encouraged active participation. Teachers identified students' inability to buy the prescribed literary texts, lack of interest in reading and poor language proficiency as some of the factors that contribute to students' failure. Several recommendations were made to enhance the teaching-learning process and maximize learning.

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)0.002
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 score0.280
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.332
Teacher spread0.321 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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