Development of the Social-Media-based Blended Learning Course to Enhance Student Learning: A Case Study on a Social Science Course
Notice bibliographique
Résumé
The purposes of this research were: 1) to develop a social-media-based blended learning course 2) to study the overall effectiveness of the developed learning course and 3) to examine student learning toward the developed learning course. Purposive sampling was used to select a research sample of 16 students who were enrolled in the selected social science course under the Business and Computer Education Program at Kasetsart University. Data analysis was presented using the mean, standard deviation, t-test and content analysis. The findings indicated that the developed social-media-based blended learning course consisted of five key elements, namely, live events, online content, collaboration, assessments and reference material. It was verified by experts as being of very high quality in its content, learning and application. The overall effectiveness covered flexibility, interaction, learning process, learning climate and engagement. The effectiveness had an overall mean at a high level ( = 4.40, SD = 0.42). The results from open ended questions revealed that students considered that the developed course was an effective learning tool because it was interesting, easy to understand and convenient to study anytime and anywhere. In addition, they thought that blending a course with the most-used technology supported their learning as it helped them review content knowledge, promoted discussion in-class and online and developed good academic skills in terms of being responsible for their own learning and exchanging of ideas. However, some students with time constraints and busy schedules suggested a reduction in online learning activities. As a result, most students liked the developed social-media-based blended learning course used in their learning process while the results of student learning showed that there was significant improvement after using the developed blended learning course. The difference proved that its use contributed to student learning. It can be concluded that a well-blended learning course that is implemented with the fundamentals, key elements and key factors influencing blended learning can be integrated with widely and extensively used technology as part of the teaching and learning process to positively improve student learning.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,007 |
| Études des sciences et des technologies | 0,023 | 0,014 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».