STEM and Non-STEM Library Users Have Increased Their Use of E-Books
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Notice bibliographique
Résumé
A Review of:
 Carroll, A. J., Corlett-Rivera, K., Hackman, T., & Zou, J. (2016). E-book perceptions and use in STEM and non-STEM disciplines: A comparative follow-up study. portal: Libraries and the Academy, 16(1), 131-162. https://doi.org/10.1353/pla.2016.0002 
 
 Abstract
 
 Objective – To compile a set of usability and collection development suggestions and to examine a possible statistical correlation between visiting the physical library, online resource use, and e-book use. 
 
 Design – Online questionnaire survey. 
 
 Setting – Major public research university in Maryland, United States of America.
 
 Subjects – 47,209 faculty, students, and staff. 
 
 Methods – This survey is a follow-up to a similar 2012 study at the same institution. Survey respondents completed 14 multiple-choice and up to 8 open-ended questions about academic e-book discovery, perception, and usage patterns for both STEM and non-STEM respondents using the Qualtrics online research platform. Seven of eight open-ended questions were conditional (i.e., dependent on answers to multiple-choice questions), thus the number of questions answered by respondents could vary. The survey was available from October 1 to November 22, 2014, and promoted across a variety of communication channels (email, library website, social media, print flyers and handouts). Incentives for completing the survey included one iPad Mini and eight U.S. $25 Amazon gift cards. 
 
 Main Results – 1,911 (820 STEM and 1,091 non-STEM) self-selected students, faculty, and staff from a total campus population of 47,209 faculty, students, and staff (4.2% response rate) participated in the survey, excluding 277 additional responses representing library personnel (70) and individuals not affiliated with the institution (207). 
 
 64% of respondents indicated more e-book use than three years before, with only 21.9% of respondents noting they never use e-books for academic purposes compared to 31% in 2012. 32.5% of respondents noted daily or weekly use of e-books for scholarly pursuits, with undergraduates reporting the most frequent use: 38.6% daily/weekly use versus 37.2% for graduate students, 16.2% for faculty, and 14.2% for staff. 38% of respondents reporting daily/weekly use were from STEM disciplines; 31.3% were from non-STEM fields. 
 
 Computers, not e-readers, were the primary devices used for accessing e-books: 72.5% of respondents reported using laptops or desktops to this end versus tablets, 37.9%; mobile phones, 36.7%; Kindles, 25.6%; Nooks, 5.9%; and other e-readers, 3.3%. Top “mixed device access” responses were tablet/mobile phone/computer (98 responses); mobile phone/computer (93 responses); and tablet/computer (81 responses). 
 
 The top three discovery tools respondents reported using for finding e-books were commercial sites (35.9%), free websites (26.8%), and the library website (26.2%). A weak-positive Spearman’s rho rank correlation of 0.25 provides some evidence that respondents who visit the library often are likely to use online resources and e-books. 35% of respondents reported they use e-books online “most of the time,” and 67% of respondents indicated they print out e-book content for use. Responses to the question “What, if anything, would make you more likely to use e-books for academic purposes?” included easier access via the library website (48% of respondents), better functionality for highlighting/annotating (44%), reduced cost (43.2%), easier downloading (38.5%), more e-books in area of research interest (37.3%), more textbooks (37.2%), and ownership of a dedicated e-reader (35.6%). 
 
 In 2012, 52% of respondents reported never having downloaded an e-book for offline use. This percentage dropped notably in this study, with only 11.5% of respondents indicating they had never downloaded for later use.
 
 Conclusion – While this study indicates both STEM and non-STEM respondents at this institution are increasingly using e-books, preferences for electronic versus print format varied according to content type and type of user (e.g., STEM or non-STEM, undergraduate or graduate, student/faculty/staff). Key recommendations for usability and collection development include: improving discovery and awareness mechanisms, purchasing some content (e.g., references works, style guides) in e-format while ensuring multiple simultaneous use, taking advantage of print plus electronic options to serve users with different format preferences, and encouraging vendors to allow digital rights management free downloading and printing.
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.
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 | 0,000 | 0,000 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,005 | 0,587 |
| Science ouverte | 0,001 | 0,001 |
| 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 découle