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Record W2955061570 · doi:10.5539/ies.v12n7p10

The Outcome of the Development of Multimedia and Activities to Enhance Knowledge about Arts and Cultures for Community Youths Through Social Lab

2019· article· en· W2955061570 on OpenAlexvenueno aff
Kuntida Thamwipat

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Development and Education Research
Canadian institutionsnot available
FundersKing Mongkut's University of Technology Thonburi
KeywordsNonprobability samplingThe artsPsychologyAction researchCLIPSVisual arts educationMedical educationMultimediaPedagogySociologyVisual artsComputer science

Abstract

fetched live from OpenAlex

This research was aimed to develop multimedia and activities to enhance knowledge about arts and cultures for community youths through social lab at the community under the bridge zone 1, to determine the quality of the multimedia and activities, to examine the learning achievement of the community youths, to evaluate the satisfaction of the sampling group and to evaluate the after-action review (AAR) of the organizers. The research tools in this study included the quality evaluation form for contents, the quality evaluation form for media and activities, the learning achievement test, the satisfaction survey for the sampling group towards the multimedia and activities, and the activity to get after-action review (AAR) of the organizers. The sampling group consisted of people who had lived in the community under the bridge zone 1 for over 2 years had participated in this research from the beginning till the end. There were 120 people who filled out the questionnaires. They were chosen using purposive sampling method. The group included local people and community youths. The research results showed that the organizers ran the project about dancing performance alongside single-head drums for the community youths through social lab. The multimedia included vinyl media and video clips to teach dancing performance alongside music from single-head drums. The clips and teaching were made by students who got scholarship from KMUTT for their art and cultural skills and the fence-painting activity was done by graduate students from the LTM652 Principle and Theories of Mass Communication course. The organizers analyzed, designed and developed multimedia and activities in accordance with the ADDIE Model in the first semester of the academic year 2018. The quality of the contents was at a good level (x ̅ = 4.46, S.D = 0.26). The quality of the media and activities was at a very good level (x ̅ = 4.60, S.D = 0.26). The learning achievement of the students from their pre-test and post-test scores showed that their average post-test score was higher with statistical significance at the.05 level. The satisfaction of the sampling group was at the highest level (x ̅ = 4.63, S.D = 0.56), confirming the research hypothesis. The after-action review showed that it was at a good level. The organizers expressed their opinion that the multimedia and activities to enhance knowledge about arts and cultures for community youths through social lab were beneficial for both the organizers and the community youths. The organizers learned how to work as a team and they could use their skills in real situations. They realized the importance of giving, especially teaching knowledge about arts and cultures for community youths. The community youths learned to spend their free time on useful activities and did not involve in drug abuse. They also learned new skills and they could do dancing performance to earn their living on the weekends and holidays or when there were festive events. It could be concluded that the multimedia and activities to enhance knowledge about arts and cultures for community youths through social lab were of good quality and could be applied for real use.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.166
GPT teacher head0.540
Teacher spread0.374 · 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 designNot applicable
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".

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Citations2
Published2019
Admission routes1
Has abstractyes

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