Valued Academic Library Services Are Not Necessarily the Ones That Are Used Most Frequently, Students’ Service and Social Media Communication Priorities Should Also Be Considered
Notice bibliographique
Résumé
A Review of: Stvilia, B., & Gibradze, L. (2017). Examining undergraduate students' priorities for academic library services and social media communication. The Journal of Academic Librarianship, 43(3), 257-262. https://doi.org/10.1016/j.acalib.2017.02.013 Abstract Objective – To examine how undergraduate students rate the importance of different categories of library services and library social media postings. Design – Online survey. Setting – Large research university in the United States. Subjects – 159 undergraduate students enrolled in 3 information technology classes. Methods – Participants were asked to rate the importance of different library service categories on a 7-point Likert scale. The library service categories were (1) access to information and computer resources, (2) study support services, (3) support for club meetings, and (4) Q&A services. Participants were also asked to rate the importance of nine different categories of library social media postings, also on a 7-point Likert scale. The categories of social media postings were (1) event, (2) resources, (3) community building, (4) operations updates, (5) study support, (6) Q&A, (7) survey, (8) staff, and (9) club. Students were also asked to identify which library services they currently use. Main Results – Validly submitted surveys totaled 104 (response rate 65%). Respondents rated access to information and computer resources (M=5.9) and study support services (M=5.9) as being of the highest importance, with no statistically significant difference being found between these ratings. Respondents rated Q&A services (mean not reported) and support for club meetings (M=4.8) as being of significantly lower importance than the baseline (access information and computer resources). In terms of service usage, using the library to study (87%) and to access information and computer resources (59%), were the top two most reportedly used services. Respondents rated social media postings relating to operations updates (M=5.6), study support (M=5.5) and events (M=5.4) as being of highest importance, with no significant difference between the ratings of these three categories. Respondents rated all other categories of social media postings (survey, M=4.7; staff, M=4.4; means for remaining categories not reported) as being of significantly less importance than the baseline (operations updates). For just over half the social media posting categories (5/9, 56%) importance rankings found in this study agree with engagement rankings the authors found in a previous study (Stvilia & Gibradze, 2014). Conclusion – The results of this study suggested frequency of use alone cannot be used to determine the value students place on a library’s services, as students may perceive equal value in services they use at different frequencies. The authors, therefore, argued there is a strong need to inexpensively predict users’ perceptions of service value without relying on usage metrics alone. Because a level of agreement was found between social media engagement (determined in the authors’ 2014 study) and importance rankings (found in this study), the authors proposed further research be done to determine whether and how an analysis of library social media engagement can be used as an inexpensive way to predict the perceived importance and value of a library’s services. While the authors recognized it may not be appropriate to generalize the results of this study to a wider student population, they suggested the findings may be applicable to similar groups of students (i.e., undergraduate information technology students).
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,004 | 0,008 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,015 | 0,010 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,004 |
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 source (Gemma direct ou Codex distillé), 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 ».