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Enregistrement W3158019346 · doi:10.18438/eblip29886

Gender is a Variable of Interest for Information Literacy Instruction

2021· article· en· W3158019346 sur OpenAlexvenueno aff
Hilary Bussell

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2021
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGender and Technology in Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInformation literacyPsychologyDescriptive statisticsLikert scaleConfirmatory factor analysisHigher educationMedical educationMathematics educationPedagogyStatisticsMathematicsMedicineStructural equation modeling

Résumé

récupéré en direct d'OpenAlex

A Review of: Pinto, M., Sales, D., & Fernández-Pascual, R. (2019). Gender perspective on information literacy: An interdisciplinary and multidimensional analysis within higher education settings. Library & Information Science Research, 41(4), 100979. https://doi.org/10.1016/j.lisr.2019.100979 Abstract Objective – To identify gender differences that present in 26 information literacy (IL) learning competencies using a multidimensional subjective–objective approach. Design – Two quantitative survey questionnaires, administered online. Setting – Five Spanish public universities in 2014. Subjects – Third- and fourth-year students in eight social science degree programs including information science, audiovisual communication, journalism, psychology, primary education, pedagogy, social work, and tourism. Methods – Subjects were recruited using a stratified sampling approach. Two survey instruments were distributed online. The IL-HUMASS instrument uses Likert scales to measure students’ “belief-in-importance” (BI) of various IL competencies relating to searching, evaluation, processing, and communication–dissemination, as well as their self-efficacy (SE) regarding these competencies. The EVALCI-KN instrument measures students’ actual knowledge (KN) of the same IL competencies using closed answer options. The data were analyzed using descriptive and bivariate statistics and confirmatory factor analyses. Main Results – The total number of valid surveys collected was 1,575 (sampling ratio of 10.39% of eligible students). No significant differences were found between female and male students’ BI, SE, or KN in the categories of searching and evaluation. Statistically significant differences between genders were found relating to SE and knowledge of information processing (with men having higher scores), and to knowledge of communication–dissemination (with women having a higher score). Overall, students’ KN scores were higher than their SE scores. Statistically significant differences were found among male students in all categories and dimensions except in SE of evaluation and BI of communication–dissemination and among female students except in BI of processing. Information science and pedagogy were the highest scoring degree programs in different dimensions and categories; tourism and social work were the lowest. Male students’ awareness of the importance of using print sources and assessing the quality of information could be improved; female students’ awareness of the importance of knowing information source typologies, academic codes of ethics, and intellectual property laws could be improved. The authors also state that male students’ KN should be increased in the areas of schematizing and abstracting information, handling statistical programs, and knowing the laws on information use and intellectual property, and they point to the need for instructional support to improve all students’ SE across all IL categories. Conclusion – Gender differences were found in various IL competencies as measured by the three scales (BI, SE, KN). Male students were found to believe assessment skills to be most important and to believe themselves more prepared in search skills; however, their actual knowledge was highest in the communication category. In comparison, female students prioritized communication skills and believed themselves more prepared in search skills, with their actual knowledge highest in the search and communication categories. Among both genders, weaknesses were found relating to BI in four competencies (use informal electronic sources, know information search strategies, schematize–abstract information, recognize text structure), to SE in six competencies (use printed sources, know information search strategies, assess quality of information, schematize–abstract information, recognize text structure, write a document), and to KN in five competencies (use printed sources, use electronic sources, use informal electronic sources, determine whether information is updated, and know the code of ethics in the academic field). The students’ mean score was higher for KN than for SE in searching, evaluation, and communication–dissemination. The authors recommend instruction or awareness-raising sessions to help students acquire IL competencies as well as to improve their self-esteem in these areas, with the design of these sessions incorporating the findings on gender differences. They also recommend a review of existing syllabi to help “incorporate the gender perspective into the classroom” (p. 8).

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)0,000
score de la tête « metaresearch » (Gemma)0,003
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: aucune
Score de désaccord entre enseignants0,967
Score d'incertitude au seuil0,793

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,218
Science ouverte0,0000,000
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 GPT0,326
Écart entre enseignants0,284 · 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

Citations6
Publié2021
Routes d'admission1
Résumé présentoui

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