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Enregistrement W1854521404 · doi:10.18438/b8dw4z

What Five Minutes in the Classroom Can Do to Uncover the Basic Information Literacy Skills of Your College Students: A Multiyear Assessment Study

2013· article· en· W1854521404 sur OpenAlex

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venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2013
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLibrary Science and Information Literacy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInformation literacySession (web analytics)Test (biology)Class (philosophy)Mathematics educationPsychologyMedical educationLiteracyLibrary instructionPedagogyMedicineComputer science

Résumé

récupéré en direct d'OpenAlex

Objective – Librarians at Rider University attempted to discern the basic information literacy (IL) skills of students over a two year period (2009-2011). This study aims to explore the impact of one-session information literacy instruction on student acquisition of the information literacy skills of identifying information and accessing information using a pretest/posttest design at a single institution. The research questions include: Do different student populations (in different class years, Honors students, etc.) possess different levels of IL? Does the frequency of prior IL Instruction (ILI) make a difference? Do students improve their IL skills after the ILI?
 
 Methods – The librarians at Rider University developed the test instruments over two years and administered them to students attending the ILI sessions each semester. The test was given to students as they entered the classroom before the official start-time of the class, and the test was stopped five minutes into the class. A pretest with five questions was developed from the 1st ACRL IL Standards. A few demographic questions were added. This pretest was used in fall 2009. In spring 2010, a second pretest was developed with five questions on the 2nd ACRL IL Standards. Students of all class years who attended ILI sessions took the pretests. In 2010-2011, the pretest combining the 10 questions used in the previous year was administered to classes taking the required CMP-125 Research Writing and the BHP-150 Honors Seminar courses. An identical posttest was given to those classes that returned for a follow-up session. Only the scores from students taking both pretests and posttests were used to compare learning outcomes.
 
 Results – Participants’ basic levels of IL skills were relatively low. Their skills in identifying needed resources (ACRL IL Standards 1) were higher than those related to information access (ACRL IL Standards 2). Freshmen in the Honors Seminar outperformed all other Rider students. No differences were found in different class years or with varying frequencies of prior IL training. In 2010-2011, students improved significantly in a few IL concepts after the ILI, but overall gains were limited.
 
 Limitations – Many limitations are present in this study, including the challenge of developing ideal test questions and that the pretest was administered to a wide variety of classes. Also not all the IL concepts in the test were adequately addressed in these sessions. These factors would have affected the results. 
 
 Conclusions – The results defy a common assumption that students’ levels of IL proficiency correlate with their class years and the frequency of prior ILI in college. These findings fill a gap in the literature by supporting the anecdote that students do not retain or transfer their IL skills in the long term. The results raise an important question as to what can be done to help students more effectively learn and retain IL in college. The authors offer strategies to improve instruction and assessment, including experimenting with different pedagogies and creating different posttests for spring 2012.

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 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)0,003
score de la tête « metaresearch » (Gemma)0,002
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: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,723
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,000
Communication savante0,0050,728
Science ouverte0,0010,000
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 Opus0,012
Tête enseignante GPT0,326
Écart entre enseignants0,314 · 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