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Record W2780092491 · doi:10.5430/wje.v7n6p75

Awareness and Usage of E-Learning Materials among Students of National Open University of Nigeria (NOUN)

2017· article· en· W2780092491 on OpenAlex

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

VenueWorld Journal of Education · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Politics and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsData collectionNounPsychologyOpen universityDescriptive statisticsMathematics educationDistance educationPopulationDescriptive researchMedical educationComputer scienceMathematicsStatisticsArtificial intelligenceMedicineEnvironmental health

Abstract

fetched live from OpenAlex

The study focused on awareness and usage of e-learning materials among students in the distance educationprogramme of the National Open University of Nigeria (NOUN). The study is a descriptive survey which was guidedby two research questions. The population for the study comprised of the 1, 512 year three students out of which 400were sampled and used for the study. The instrument for data collection was a 30-item self-constructed checklisttitled, “Distance Education Students’ Awareness and Usage of E-Learning Materials” (DESAUELM). It wasvalidated by experts and the reliability co-efficient stood at 0.86. The data collected were analysed using frequenciesand percentages. The findings showed that, the students are aware of majority of the e-learning materials. Also, theresult on usage indicated that the students do not use majority of the e-learning materials. There was general lowusage of the e-learning materials as revealed by the findings.

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)0.000
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 score0.014
Threshold uncertainty score0.240

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 head0.039
GPT teacher head0.297
Teacher spread0.258 · 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