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Record W2002498054 · doi:10.1108/lm-03-2014-0035

Institutions collaborating on an information literacy assessment tool

2014· article· en· W2002498054 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLibrary Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsMacEwan UniversityUniversity of AlbertaRed Deer PolytechnicMount Royal University
Fundersnot available
KeywordsInformation literacyPsychologyComputer scienceMultiple choiceSample (material)Library instructionTest (biology)Medical educationHigher educationKnowledge managementMathematics educationPedagogyPolitical scienceReading (process)

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to create an information literacy (IL) instruction assessment tool that responds to the unique needs of individual institutions and provides a strategic and relevant model for assessing IL skills among undergraduate students. Design/methodology/approach – The research team designed a post-test questionnaire comprised of two demographic questions, two open-ended questions and a pool of skill-based multiple-choice questions mapped to Association of College and Research Libraries Information Literacy (ACRL IL) Competency Standards for Higher Education. Participating librarians used a customized questionnaire to assess student learning at the end of their one-shot instruction sessions. Findings – In their responses to the multiple-choice questions, students demonstrated a clear understanding of ethical use of information and a strong ability to select appropriate tools for accessing information sources. Student responses to the open-ended questions revealed a wide range of confidence and ability levels, and provided insight into the frequency, depth and breadth with which various ACRL Standards are being addressed in library sessions. Research limitations/implications – This paper reports on student responses to questions that have subsequently been identified as problematic; therefore, strong inferences cannot be made about student learning from these responses. Questions have since been improved with further revision. In addition, the sample sizes for individual questions were too small to be generalizable. Practical implications – The intentional and strategic approach to the development of the assessment tool and its implementation is that it be practical and easy to implement for partner libraries. It is intended to make assessment of IL in the undergraduate context be assessable to all academic librarians who desire to participate. Originality/value – This paper describes a unique assessment tool that is designed to be responsive to local needs and provide a cost-free assessment option for academic libraries.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.971
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.086
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.315
Teacher spread0.302 · 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