Assessing the Impact of Video-Based Assignments on Health Professions Students’ Social Presence on Web: Case Study
Notice bibliographique
Résumé
Background: Web-based education is one of the leading learning pedagogies in health professions education. Students have access to a multitude of opinions, knowledge, and resources on Web, but communication among students in Web-based courses is complicated. Technology adds a filter that makes it difficult to decipher the emotions behind words or read nonverbal cues. This is a concern because students benefit more from Web-based classes when they have a high perception of social presence. To enhance social presence on Web, we planned to use video-based assignments (VBAs) that encourage students to interact with each other. Objective: This case study examines the impact of VBAs on health professions students and their experiences with the technology. This study aims to provide information to the growing body of literature about strategies to develop social presence on Web. Methods: A total of 88 students from various nursing programs participated in the study. While the control group comprised 36 students who submitted only written-based assignments (WBAs), the experimental group of 52 students submitted VBAs besides WBAs. No enrolled student had previously participated in the course, and there were no repeaters in either of the groups. Both groups participated in a weekly survey comprising 4 open-ended questions and 3 Likert items on a scale of 1-5 (1=strongly disagree and 5=strongly agree). The social presence questionnaire assessed by the experimental group comprised 16 items and a 5-point Likert scale in which higher scores represented higher levels of social presence. While quantitative data were analyzed using descriptive statistics, qualitative responses were analyzed using content analysis. Results: No significant differences were noted between the groups regarding the program (F1,87=0.36, P=.54). Regarding students’ engagement, no statistically significant difference was observed between the 2 groups (t14=0.96, P=.35). However, the experimental group’s average score for engagement was slightly higher (4.29 [SD 0.11]) than that of the control group (4.21 [SD 0.14]). Comparison of the total number of responses to the weekly engagement survey revealed 88.0% (287/326) as either strongly agree or agree in the control group, whereas 93.1% (525/564) in the experimental group. No statistically significant difference was observed between VBAs and WBAs weeks (t6=1.40, P=.21) in the experimental group. Most students reported a positive experience using VBAs, but technical issues were barriers to embracing this new approach to learning. Conclusions: This study reveals that social presence and engagement are positively associated with student learning and satisfaction in Web-based courses. Suggestions are offered to enhance social presence on Web that could generate better learning outcomes and students’ experiences.
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».