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Record W2152068129 · doi:10.5539/jas.v7n12p144

An Evaluation of the Participatory Learning and Action (PLA) Training Workshop

2015· article· en· W2152068129 on OpenAlexvenueno aff
Mahmoad H. Ibnouf, Maen N. Sheqwarah, Kamel I. Sultan

Bibliographic record

VenueJournal of Agricultural Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsTrainerMedical educationCitizen journalismUnit (ring theory)Participatory action researchPsychologyPerceptionTraining (meteorology)MedicineComputer scienceMathematics education

Abstract

fetched live from OpenAlex

<p>The main objective of this study was to evaluate the perception of the trainees regarding the participatory learning and action training workshop which was held at Edamer Local Implementation Unit during the period of July 17-25/2011. The participants of the training workshop were selected individuals and groups. Twenty four trainees attended the training workshop. The questionnaire was developed by the researchers and covered selected statements related to perceptions of the trainees regarding overall activities of the training program. The data was collected from the trainees at the end of the training program. Information obtained from the questionnaires analyzed using the Statistical Package for Social Sciences (SPSS), means and standard deviation were used as statistical methods to determine the perceptions level of the trainees.</p><p>The results of the study indicated that the trainees as a group agreed that the training program was very useful and interesting. They also indicated that the trainer was very friendly, helpful and used a variety of teaching methods and field work techniques. The results also indicated that the training program covered required technical and professional competencies in participatory learning and action approach. The study produced some recommendations and strategies for improving the present and future program.</p>

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)0.007
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.289
GPT teacher head0.455
Teacher spread0.166 · 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 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

Citations10
Published2015
Admission routes1
Has abstractyes

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