E-learning on the road: online learning and social media for continuing professional competency.
Notice bibliographique
Résumé
<p>Background</p><p>The impact of social media and online learning in health professions education has previously shown generally positive results in medical, nursing and pharmacy students. To date there has not been any extensive research into social media and online learning use by prehospital health care professionals such as paramedics.</p><p>Aim &amp; Methods</p><p>We sought to identify the extent to which Irish pre-hospital practitioners make use of online learning and social media for continuous professional competency (CPC), and the means by which they do so. A cross-sectional online survey of practitioners was conducted to obtain both quantitative and qualitative data. The release of the survey was in a controlled manner to PHECC registrants via various channels. Participation was voluntary and anonymous.</p><p>Results</p><p>A total of 248 respondents completed the survey in full by closing date of 31 March 2015, representing 5.4% of all registrants (n=4,555). 77% of respondents were male, and the majority were registered as Emergency Medical Technicians (49%), followed by Advanced Paramedics (26%). Over 78% of respondents used a mobile device in the course of their clinical duties; the majority used an iOS device. Social media and online learning were considered learning tools by over 75% of respondents, and over 74% agreed they should be further incorporated into prehospital education. The most popular platforms for CPC activities were YouTube and Facebook. The majority of respondents (88%) viewed self-directed activities to constitute continuous professional development activity, but 64% felt that an activity that resulted in the awarding of a certificate was better value. Over 90% of respondents had previous experience with online learning, but only 42% indicated they had previously purchased or paid for online learning.</p><p>Conclusion</p><p>Prehospital practitioners in Ireland in the population studied consider online learning and social media acceptable for CPC purposes. The main social media outlets used by PHECC registrants are YouTube and Facebook. Practitioners consider online learning that awards a certificate to be better value than self-directed activities. The majority have previous experience of online learning. The results of this study can be used to ensure educational interventions are targeted at practitioners through the correct channels.</p><p> </p>
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 | 0,003 | 0,030 |
| 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 | 0,001 |
| 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; 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 ».