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Record W150674597

Students' Perceptions of Information Programs in Canada

2013· article· en· W150674597 on OpenAlexaffabout
Joan M. Cherry, Luanne Freund, Wendy Duff

Bibliographic record

VenueJournal of Education for Library and Information Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsPsychologyCurriculumHigher educationMedical educationPerceptionCustomer satisfactionQuality (philosophy)Scale (ratio)PedagogyMarketingPolitical scienceMedicineBusiness
DOInot available

Abstract

fetched live from OpenAlex

Using a web-based survey, this study explored students' perceptions of their master's programs in information studies at six Canadian universities. Findings indicate that students rate most aspects of their programs positively, although few respondents give the highest ratings, indicating that there is substantial room for improvement. When asked directly, How satisfied are you with the education you have received in this program?, the mean rating was 6.6 on a 10-point scale. Among the lowest ratings on quality measures were those for exposure to the latest developments in research and technology and exposure to the most significant developments in the field. We found a decrease in satisfaction as students progress through their programs. Compared to midstream students, a smaller proportion of students in their final term had positive perceptions on almost half of the measures. Findings from the study should be beneficial to information studies educators to inform decisions with respect to curriculum planning and program development.Keywords: Information studies, master's programs, student satisfaction, graduate education, LIS education, web-based surveyIntroductionWhile program assessment initiatives in higher education often focus on student performance and learning outcomes, there is a growing interest in student-oriented measures, such as satisfaction, as a measure of program quality. This focus on student satisfaction has been driven in part by a shift towards the adoption of consumer service models in higher education, which recognize the potential salutary effects of student satisfaction on recruitment and retention (Gruber, Fus, Voss, & Glaser-Zikuda, 2010; Thomas & Galambos, 2004). However, there is also a sound pedagogical rationale, as student satisfaction has been shown to influence academic performance (Bean & Bradley, 1986; Pike, 1991). Much of this research focuses on undergraduate education, but some studies have addressed graduate education including professional programs, e.g., nursing and business. In the LIS field, a limited body of research has studied students' perceptions of their educational programs across institutions, within a single institution, and across different delivery modes; other researchers have studied alumni of LIS programs. In a time of dramatic growth in the size, complexity and diversity of offerings within graduate LIS programs it behoves researchers to study students' perceptions of their programs with the goal of identifying areas where satisfaction is high and areas that need improvements. Greater understanding of students' perceptions can also lead to more effective recruitment efforts, opportunities to improve and enrich the student experience, and increased alumni support through service, donations, and willingness to serve as positive spokespeople for our programs.This paper reports on a study that investigated students' perceptions of their master's programs in six Canadian universities. Study goals were to identify perceptions of specific program attributes and to test for effects of program stage and characteristics of the sample population. Looking forward, we also asked participants in our study to indicate the extent of their support for ten possible future directions for master's programs in information schools. The study involved the development, testing and deployment of three web-based questionnaires within multiple information studies programs in Canada. Use of these evaluation tools is now open to all interested members of the LIS educational community. They are available at http://www.diigubc.ca/projects/lfos/Instrurnents.htmLiterature ReviewAlthough we have a wealth of research on LIS education, few published studies of students' perceptions of their masters programs exist. The extant published research relevant to this study falls into two categories: (1) studies of student satisfaction in higher education generally; and (2) studies of students' and graduates' perceptions of their master's programs in LIS. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.044
GPT teacher head0.382
Teacher spread0.338 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations10
Published2013
Admission routes2
Has abstractyes

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