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Enregistrement W2208620132 · doi:10.18438/b8ss3z

One-Shot Library Instruction Sessions May Not Increase Student Use of Academic Journals or Diversity of Sources

2015· article· en· W2208620132 sur OpenAlexvenueno aff
Aislinn Conway

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2015
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLibrary Science and Information Literacy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSession (web analytics)CourseworkContext (archaeology)ViewpointsDiversity (politics)Computer scienceLibrary instructionLibrary scienceCommunity collegePsychologyMedical educationMathematics educationSociologyWorld Wide WebInformation literacyMedicine

Résumé

récupéré en direct d'OpenAlex

A Review of:
 Howard, K., Nicholas, T., Hayes, T., & Appelt, C. W. (2014). Evaluating one-shot library sessions: Impact on the quality and diversity of student source use. Community & Junior College Libraries, 20(1-2), 27-38. http://dx.doi.org/10.1080/02763915.2014.1009749 
 
 Objective – To assess the effect of one-shot library research workshops focused on database searching on student coursework bibliographies.
 
 Design – Comparative bibliometric analysis of student bibliographies.
 
 Setting – Career and Transfer Program at a community college in Illinois, United States of America.
 
 Subjects – Students taking an English 101 course.
 
 Methods – During the study, 39 sections of English 101 occurred. An optional library instruction session was offered to faculty and as a result students from 18 sections participated. Each session consisted of a 45-minute lecture and 30 minutes of independent research time. The librarian delivering the session introduced students to keyword searching and demonstrated the online library catalogue and two core electronic databases; Academic Search Complete, and Opposing Viewpoints in Context (OVC), and other databases of their choosing. Students in each session were required to submit a variety of assignments in an exit portfolio at the end of the semester. Sections of students were excluded if the instructors did not submit the students’ portfolios and they no longer taught at the community college, making it impossible to track down the portfolios. Exclusion also occurred in cases where sections were taught by the researchers. Seventeen sections who had attended library instruction group and 14 sections who had not attended the library instruction group were included in the study and randomised.
 
 Researchers evaluated portfolios according to the following criteria: whether the student who submitted the portfolio attended library instruction; whether their portfolio earned a pass or fail mark; total number of citations in bibliographies; number of each type of source (e.g., book, journal, Internet resource, or other; and dates of sources).
 
 Main Results – Data were collected from 115 portfolios submitted by students who had attended a library session and 92 portfolios from students who had not attended a library session. Student pass or fail status was not reported. Attending library instruction did not have a significant effect on the mean number of total citations: 5.513 for attendees vs. 6.076 for non-attendees. Of 205 student portfolios evaluated, there was no difference in the number of types of resources used by students who had library instruction (2.3 ± 0.1) and those who had none (2.2 ± 0.1; p > 0.05).
 
 Conclusion – The library instruction sessions did not increase the use of academic journals or the diversity of sources used. However, students were more likely to use library sources if they attended training. The authors recommend that demonstrating multiple databases should be covered in later sessions and more conceptual information literacy instruction should be the first step. Librarians could teach the value of different types of sources; connect the sources to the tools needed to locate and access them; and demonstrate how to effectively evaluate sources. The authors recommend further research to evaluate objectives, content and outcomes of this type of library instruction.

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)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,815
Score d'incertitude au seuil0,799

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,763
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,148
Tête enseignante GPT0,370
Écart entre enseignants0,221 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations5
Publié2015
Routes d'admission1
Résumé présentoui

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