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Record W2044696988 · doi:10.5539/ach.v4n2p153

Supervision of Undergraduate Final Year’s Project Requirement in Nigerian Universities – The Way out of the Wood

2012· article· en· W2044696988 on OpenAlexvenueno aff
Chika Josephine Ifedili, Stella Omiunu

Bibliographic record

VenueAsian Culture and History · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Sample (material)Medical educationPopulationPsychologyWork (physics)AllegationEngineeringSociologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The study investigated the supervision of undergraduates’ degree projects in Nigerian universities following the general allegation that the present day projects do not contribute to any knowledge because students copy past work and project supervisors do not have time for supervision. The population of the study was 27 federal Nigerian universities. A random sample of 9 federal Nigerian universities (33.3%) was used for the study. The instrument used in gathering the data was the questionnaire designed by the researcher titled Students’ Project Management Inventory (SPMI). The validity of the instrument was done by both experts in educational administration and planning. Test-retest method was used to ascertain the reliability of the instrument. A Z-Test and common percent were the statistics used to analyze the data. The major finding was that the increased population of degree students with decreased number of supervisors have made it difficult to have good supervision of projects. Based on this finding, it is recommended that degree project requirement should be optional or elective and not compulsory.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.044
GPT teacher head0.241
Teacher spread0.197 · 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 designQualitative
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

Citations8
Published2012
Admission routes1
Has abstractyes

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