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Enregistrement 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 sur OpenAlexvenueno aff
Kuntida Thamwipat

Notice bibliographique

RevueInternational Education Studies · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Development and Education Research
Établissements canadiensnon disponible
Organismes subventionnairesKing Mongkut's University of Technology Thonburi
Mots-clésNonprobability samplingThe artsPsychologyAction researchCLIPSVisual arts educationMedical educationMultimediaPedagogySociologyVisual artsComputer science

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,166
Tête enseignante GPT0,540
Écart entre enseignants0,374 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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