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Enregistrement W1607354852 · doi:10.18438/b8hk89

Undergraduate Science Students are Uncertain of How to Find Facts in E-books Compared to Print Books

2011· article· en· W1607354852 sur OpenAlexvenueaboutno aff
Christina E. Carter

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2011
Typearticle
Langueen
DomaineComputer Science
ThématiqueLibrary Collection Development and Digital Resources
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLaptopComputer scienceThematic analysisMathematics educationLibrary sciencePsychologyQualitative researchSociologySocial science

Résumé

récupéré en direct d'OpenAlex

Objective – To observe and compare the strategies that undergraduate science students use to perform information retrieval tasks in e-books and in print books.
 
 Design – Qualitative analysis, employing a “prompted think-aloud” methodology and thematic analysis.
 
 Setting – Taylor Library (serving the Faculty of Science), University of Western Ontario, London, Ontario, Canada.
 
 Subjects – Twenty undergraduate science students (11 females, 9 males) who had completed at least two years of study in Faculty of Science programs at the University of Western Ontario.
 
 Methods – Participants for the study were recruited through informational posters in Taylor Library, science departments, and in undergraduate science classes. Participants were assigned fact-finding tasks in e-book and print versions of eight health, computer science, and engineering textbooks and handbooks available in the Taylor Library. Book titles and tasks are included in a table in the study. Each student completed four tasks using e-books and four tasks using print books. Half of the participants performed tasks in print books first, and half began with tasks in e-books. Print books were “pre-selected” for each participant. The e-books were all from the same platform: Electronic Book Library. Participants were provided with a laptop computer to access the e-book versions, and a list of questions or facts to locate within each book. Following the methodology of Cotton & Gresty (2006), one researcher prompted students to verbalize actions while performing assigned tasks. A second researcher captured audio and video of the laptop screen as students individually conducted their e-book searches. A third researcher took notes on each session. An exit survey was given to each participant, asking about previous use, knowledge, and attitudes towards e-books. Thematic analysis was then used to examine the collected data.
 
 Main Results – Researchers identified four major themes from the data with regard to use of print versus e-books: linear/non-linear strategies; tangible/intangible aspects of books; met/unmet expectations; and transferable/non-transferable behaviours. Researchers found that participants tended to search print books in a linear fashion, whereas they approached e-books non-linearly. Physicality and familiarity with print books helped participants more readily find answers, compared to e-books, where students tried less successfully to mimic techniques used in print books to locate requested information. Participants used indexes in print books, versus e-books where they did not quickly identify the e-books as having them. The students expected that the e-books would behave as other web-based/online sources or search engines would (such as Google books), and commented that they did not. Transferable actions between print and e-books included developing and using keywords for searching. 
 
 Conclusion – The authors of this study found that student participants did not know how to navigate the e-books presented to them compared with their print counterparts. There was a lack of awareness on the part of participants about e-books in general: the students were unaware that e-books were available through the library catalogue; they did not know that e-books have indexes as print books do; and did not know the differences among platforms offered by the library. All of these facts point to the importance of user education. The authors note the importance of testing of e-book platforms by students, faculty, and librarians prior to committing to purchase particular platforms. The authors note that more research is needed on user interaction with e-books, how e-books are used to assimilate information, and how groups other than undergraduates search e-books.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,673
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,190
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,042
Tête enseignante GPT0,267
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2011
Routes d'admission2
Résumé présentoui

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