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Record W2112057996 · doi:10.5539/ies.v4n2p89

Manpower Development for Workers in Tertiary Institutions: Distance Learning Approach

2011· article· en· W2112057996 on OpenAlexvenueno aff
Moshood Ayınde Hassan

Bibliographic record

VenueInternational Education Studies · 2011
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scaleDistance educationMedical educationPsychologyEducational attainmentScale (ratio)Higher educationPedagogyPolitical scienceMedicineGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to determine the extent to which workers patronize distance learning approach to further their education. Other purposes include: determine problems facing workers in the process of improving their knowledge and skills through distance learning approach; establish the level of attainment of manpower development objectives of Adekunle Ajasin University Akungba-Akoko and Rufus Giwa Polytechnic, both in Ondo State, Nigeria; and find out the relationship between manpower development and job performance effectiveness of workers in both institutions. Survey research was used in order to carry out the study. One hundred and seventy five (175) respondents were selected from Adekunle Ajasin University. However, one hundred and ninety five (195) respondents came from Rufus Giwa Polytechnic. Four (4) research questions were generated from the literature review. Questionnaire items on manpower development through distance education and the responses elicited from respondents were numerically quantified, tabulated and analyzed using Likert scale and percentage. The analyses showed that: opportunity for training and development was given to all workers in both institutions; most Nigerian Universities do not provide distance learning programmes to citizens; respondents of both institutions reported occasional frustration from colleagues and management in a bid to pursue further education; respondents in the two institutions held that the objectives of floating manpower development for workers were achieved; and they reported that there was relationship between acquisition of manpower development and job performance at workplace. Based on the findings, it is recommended that workers should be encouraged to patronize distance learning system to further their education; information and communication technology should form part of manpower development programmes in tertiary institutions; and workers who have stayed long away from classroom should be properly counseled whenever they are on for further studies.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.213
GPT teacher head0.440
Teacher spread0.227 · 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 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

Citations3
Published2011
Admission routes1
Has abstractyes

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