Application of Gamification Teaching in Disaster Education: Scoping Review
Notice bibliographique
Résumé
Background: With climate change, the number of natural disasters is increasing globally, and the resulting weather-related events lead to increased loss of life and property. Meanwhile, the significance of disaster education is becoming increasingly important. Despite natural disasters being hard to predict, people's responses to such events can be improved by education and training. Gamification, an innovative teaching method, has demonstrated great potential across various fields, including disaster education. Objective: We aimed to investigate the different application types of gamification in disaster education, focusing on nursing staff, medical professionals, university students, and disaster relief workers. Specifically, the goal was to identify the types of gamified teaching used in disaster education. Methods: This scoping review was conducted according to the Joanna Briggs Institute methodology. The Participants, Concept, Context (PCC) model was used to frame the inclusion criteria. We performed a systematic search of the relevant literature across the Cochrane Library, PubMed, CINAHL, Embase, Web of Science, CNKI, Wanfang, VIPC, and SinoMed databases. Articles published in Chinese and English were selected for the review. The search was conducted to identify literature published from the establishment of the respective databases to April 21, 2024. Two researchers independently screened the literature according to the inclusion and exclusion criteria and extracted the data. Results: We included a total of 16 studies in this review, originating from 8 different countries. These studies involved 1744 participants: nursing students (n=451), medical students from other majors (n=420), college students (n=287), hospital decision makers (n=264), hospital medical staff (n=262), and disaster relief workers (n=60). The gamification approaches for teaching and learning encompassed the following 7 categories: tabletop games, serious games, scenario simulation games, virtual reality and mobile games, theme games, board games, and escape room games. The objectives of the studies were diverse. Three studies conducted randomized controlled trials, with only 1 performing a comparative analysis between different games. Two studies carried out long-term outcome evaluations. Conclusions: This scoping review explored 7 types of games for disaster education and provided evidence for future education and training. Further research is needed to establish a long-term evaluation mechanism and a better game-based teaching program to provide more insights into the future of disaster education.
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 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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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.
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 ».