MétaCan
Menu
Back to cohort
Record W2585824470 · doi:10.5539/ies.v10n2p166

Development of Participative Management System in Learning Environment Management for Small Sized Primary Schools

2017· article· en· W2585824470 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

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scaleContext (archaeology)Management systemLearning ManagementParticipatory managementKnowledge managementProcess (computing)Process managementParticipative decision-makingComputer sciencePsychologyOperations managementEngineeringMathematics educationPedagogy

Abstract

fetched live from OpenAlex

The research aimed to: 1) study the factors of a participative management system in learning environment management, 2) study the current situation, desirable outcomes, and further needs for developing a participative management system in learning management, 3) develop a working participative management system, and 4) assess the system’s viability by studying the findings from usage of the system in the context of a small sized primary school. Research and Development process was implemented by analyzing the documents, theoretical approaches and related research literature. Then, the chosen factors used in the system were investigated by seven experts. The current situation, desirable outcomes, and further needs for developing a participative management system in learning environment management for small sized primary schools were studied by using a questionnaire that asked participants for their opinions, measuring using a 5-point Likert scale. Data were analyzed by calculating the Mean, Standard Deviation, and (PNImodified). The development of the system was implemented by conducting field trip studies in schools recommended for their effective learning management system and use of best practices. The system was outlined, and the handbook was provided to implement the system. In addition, the propriety of both the proposed system and its handbook was investigated by nine experts. The results show that 21 sub-factors were considered in the development of the participative management system in learning environment management for small sized primary schools. These included six input factors, six process factors, seven product factors, and two feedback factors, each of which were assessed at the highest level of propriety by the panel of experts. The overall current situation was judged to be at a “Moderate” level of propriety, and the sense of desirable outcomes was assessed at the highest level of propriety. The needs for further development were ranked in order from high to low as follows: feedback factor, input factor, product factor, and process factor respectively. The system evaluative finding by experts found that in the overall propriety was assessed at the highest level. The standards of feasibility, propriety, utility, and system design were all rated at the highest level. In addition, the handbook for system implementation was also found to be at the highest level of propriety.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.573
Threshold uncertainty score0.452

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 science0.0010.000
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 head0.107
GPT teacher head0.389
Teacher spread0.282 · 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