A Survey of Public Library-Led Digital Literacy Training in Canada: Perceptions of Administrators and Instructors
Notice bibliographique
Résumé
Objective – This paper presents the results from a survey of administrators and instructors at public libraries across Canada investigating the delivery of digital literacy training led by public libraries. The goal of the survey was to capture a snapshot of the Canadian public library-led digital literacy training landscape and to explore differences in perceptions of training activities between public library administrators and instructors. Methods – An online survey was distributed to administrators and instructors at public libraries across Canada with the help of two national public library associations. The survey instrument was developed based on a theoretical framework from the research team’s prior case study investigations of community-led digital literacy training. The survey included closed- and open-ended questions concerning the availability of adequate/sustained funding, the adequacy of dedicated classroom resources, the competency of teaching staff, the helpfulness of support staff, the amount and frequency of knowledge sharing of best practices, the amount of rigorous and regular performance measurement, the scheduling of the training provided, the skills taught, the pedagogical approaches used, and the marketing carried out. Responses were analyzed using both quantitative and qualitative data analysis techniques. Results – Public library administrators and instructors in Canada are generally satisfied with the delivery of digital literacy training; however, room for improvement exists. Instructors are more positive about the delivery of this training than administrators. Findings support and extend the research team’s conceptual model, specifically in terms of providing more insight and clarity on how the learning environment and program components affect the delivery of digital literacy training led by public libraries. Results highlight how training is situated in context and how libraries need to fine-tune the delivery of this training in ways that are reflective of libraries’ learning environments and program components. Conclusion – Results are of high interest to researchers and library practitioners who wish to leverage evidence-based library and information practice to understand and address the factors affecting the successful delivery of public library-led digital literacy training. Though funding is always an obstacle for any public service organization, libraries can make improvements to the delivery of their training in other ways, such as carrying out more robust performance measurement and using results more transparently, participating in more knowledge-sharing opportunities, and better understanding learner needs and preferences.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,683 |
| 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; 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 ».