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Record W2130717920 · doi:10.18438/b8bg7b

Graduate Students May Need Information Literacy Instruction as Much as Undergraduates

2014· article· en· W2130717920 on OpenAlexvenueno aff
Robin Elizabeth Miller

Bibliographic record

VenueEvidence Based Library and Information Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsInformation literacyTest (biology)Medical educationPsychologyDescriptive statisticsLiteracyMathematics educationGraduate studentsPedagogyMedicineMathematics

Abstract

fetched live from OpenAlex

A Review of:
 Conway, Kate. (2011). How prepared are students for postgraduate study? A comparison of the information literacy skills of commencing undergraduate and postgraduate studies students at Curtin University. Australian Academic & Research Libraries, 42(2), 121-135.
 
 Abstract
 
 Objective – To determine whether there is a difference in the information literacy skills of postgraduate and undergraduate students beginning an information studies program, and to examine the influence of demographic characteristics on information literacy skills.
 
 Design – Online, multiple choice questionnaire to test basic information literacy skills.
 
 Setting – Information studies program at a large university in Western Australia.
 
 Subjects – 64 information studies students who responded to an email invitation to participate in an online questionnaire, a 44% response rate. Of those responding, 23 were undergraduates and 41 were postgraduates.
 
 Methods – Over the course of two semesters, an online survey was administered. In order to measure student performance against established standards, 25 test questions were aligned with the Australian and New Zealand Information Literacy Framework (ANZIIL) (Bundy, 2004), an adapted version of the ACRL Information Literacy Standards for Higher Education (Association of College & Research Libraries, 2000). In the first semester that the survey was administered, 9 demographic questions were asked and 11 in the second semester. Participants were invited to respond voluntarily to the questionnaire via email. Results were presented as descriptive statistics, comparing undergraduate and postgraduate student performance. The results were not tested for statistical significance and the author did not control for confounding variables.
 
 Main Results – Postgraduate respondents scored an average of 77% on the test questionnaire, while undergraduates scored an average of 69%. The 25% of respondents who had previous work experience in a library achieved average scores of 79%, in contrast to 69% among those who had not worked in a library. Average scores for undergraduates in the 20-30 age group were 81%, while those in the 30-40 age group averaged 65%. Among both undergraduate and postgraduate students, scores may indicate deficiencies in information literacy skills in several areas, including parsing citations, strategies for locating specific content, and defining an information need.
 
 Conclusion – The study concludes that postgraduate students’ information literacy skills may be marginally better than the skills of undergraduates. Age was found to be associated with higher performance among undergraduate students, and a variety of “basic” information literacy skills may elude many respondents. These findings might prompt librarians and instructors to look closely at gaps in information literacy knowledge among students at both the undergraduate and postgraduate level.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0050.847
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.319
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2014
Admission routes1
Has abstractyes

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