Individualized Research Consultations in Academic Libraries: A Scoping Review of Practice and Evaluation Methods
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Notice bibliographique
Résumé
Abstract
 
 Introduction – Librarians in academic institutions have been providing personalized services to the student population by offering individualized research consultations (IRC) for decades. These consultations usually consume many hours of librarians’ busy schedules, and yet the impact of these consultations is unknown. Therefore, it’s worth asking the question: what assessment methods have been used in academic libraries to evaluate the impact of IRC?
 
 Methods – A retrospective scoping review of the literature was performed using the following databases: Library and Information Science Abstracts (LISA), Educational Resources Information Center (ERIC), Library and Information Technology Abstracts (LISTA), Scopus, and Web of Science. Additionally, a manual search of the included papers reference lists was conducted to locate additional relevant papers. Articles that mentioned a format of evaluation or assessment and were based within a library setting were included. Articles that discussed group instruction that were not in a library setting, or that did not include any form of evaluation or assessment, were excluded.
 
 Results – Researchers located 578 articles and reviewed titles and abstracts. 523 titles were eliminated, while full text sources of the remaining 55 were examined to check inclusion and exclusion criteria. 20 articles remained for qualitative synthesis. Specific methods of assessment were reviewed and three overall assessment methods were identified: 1) usage statistics, 2) survey, and 3) objective quantitative methods. 
 
 Conclusion – Many articles using a usage statistics method stated that they wanted to further their assessment of individual consultations. Several authors using a survey method described the value of the information gathered by surveying their users for improving their service, but also mentioned that this method is subjective in nature. They mentioned that objective assessment methods would provide a better understanding of the impact of IRCs. The few articles using objective quantitative methods obtained mixed results. Overall, more research in the assessment of IRCs is needed, particularly those with objective quantitative methods.
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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 | 0,084 | 0,266 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,165 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 découle