MétaCan
Menu
Back to cohort
Record W2113281334 · doi:10.1002/asi.22606

A model of student learning outcomes of information literacy instruction in a business school

2012· article· en· W2113281334 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

VenueJournal of the American Society for Information Science and Technology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsMcMaster UniversityLakehead University
Fundersnot available
KeywordsAffect (linguistics)PsychologyQuality (philosophy)Information literacyOrder (exchange)Mathematics educationLiteracyApplied psychologyPedagogy

Abstract

fetched live from OpenAlex

This study presents and tests a research model of the outcomes of information literacy instruction ( ILI ) given to undergraduate business students. This model is based on expectation disconfirmation theory and insights garnered from a recent qualitative investigation of student learning outcomes from ILI given at three business schools. The model was tested through a web survey administered to 372 students. The model represents psychological, behavioral, and benefit outcomes as second‐order molecular constructs. Results from a partial least squares ( PLS ) analysis reveal that expectation disconfirmation influences perceived quality and student satisfaction. These in turn affect student psychological outcomes. Further, psychological outcomes influence student behaviors, which in turn affect benefit outcomes. Based on the study's findings, several recommendations are made.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.042
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.320
Teacher spread0.304 · 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