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Record W1612235545 · doi:10.21083/ajote.v3i3.2782

ICT LITERACY OF LANGUAGE TEACHERS IN SELECTED LAGOS STATE SECONDARY SCHOOLS, NIGERIA

2014· article· en· W1612235545 on OpenAlex
Oludare Adebanji Shorunke, Solomon Olanrewaju Makinde, Omawumi O. Makinde

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAfrican Journal of Teacher Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsInformation and Communications TechnologyLiteracyComputer literacyMathematics educationPedagogyPsychologyPolitical science

Abstract

fetched live from OpenAlex

This study contributes to the limited research available on Information and Communication Technology (ICT) literacy of language teachers in Nigeria. The advent of ICT brought new opportunities that require a skill set to operate better and faster, even in the education sector. The case for teachers’ ICT literacy is cogent in the information age to update them on their areas of specialization. The use of ICT requires some skills to enhance the access and retrieval of the required information without undue stress. The level of ICT skills a teacher possesses may affect the extent to which the teacher puts ICT to use. This study revealed that majority of the respondents made use of ICT resources. The study revealed that aggregately a large proportion of the teachers are ICT literate. This study made recommendations to improve ICT skills training and access to ICT resources.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.007
GPT teacher head0.317
Teacher spread0.310 · 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