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Record W2441009899 · doi:10.18438/b8sg94

Exploring the Complexity of Student Learning Outcome Assessment Practices Across Multiple Libraries

2016· article· en· W2441009899 on OpenAlexvenueno aff
Donna Ziegenfuss, Stephen A. Borrelli

Bibliographic record

VenueEvidence Based Library and Information Practice · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsGrounded theoryAllianceQualitative propertyMedical educationQualitative researchPlan (archaeology)PsychologyLibrary scienceSociologyComputer scienceMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

Objectives – The purpose of this collaborative qualitative research project, initiated by the Greater Western Library Alliance (GWLA), was to explore how librarians were involved in the designing, implementing, assessing, and disseminating student learning outcomes (SLOs) in GWLA member academic libraries. The original objective of the research was to identify library evaluation/assessment practices at the different libraries to share and discuss by consortia members at a GWLA-sponsored Student Learning Assessment Symposium in 2013. However, findings raised new questions and areas to explore beyond student learning assessment, and additional research was continued by two of the GWLA collaborators after the Symposium. The purpose of this second phase of research was to explore the intersection of library and institutional contexts and academic library assessment practices.
 
 Methods – This qualitative research study involved a survey of librarians at 23 GWLA member libraries, about student learning assessment practices at their institutions. Twenty follow-up interviews were also conducted to further describe and detail the assessment practices identified in the survey. Librarians with expertise in library instruction, assessment, and evaluation, either volunteered or were designated by their Dean or Director, to respond to the survey and participate in the interviews. Interview data were analyzed by seven librarians, across six different GWLA libraries, using constant comparison methods (Strauss & Corbin, 2014). Emerging themes were used to plan a GWLA member Symposium. Based on unexpected findings, after the Symposium, two GWLA researchers continued the analysis using a grounded theory methodology to re-examine the data and uncover categorical relationships and conceptual coding, and to explore data alignment to theoretical possibilities.
 
 Results – Seventeen categories and five themes emerged from the interview data and were used to create a 3-part framework for describing and explaining library SLO assessment practices. The themes were used to plan the GWLA Assessment Symposium. Through additional qualitative grounded theory data analysis, researchers also identified a core variable, and data were re-evaluated to verify an alignment to Engeström’s Activity and Expansion Theories (Engeström, 2001, 2004). 
 
 Conclusions – The findings of this multi-phased qualitative study discovered how contextual, structural, and organizational factors can influence how libraries interact and communicate with college departments, and the larger institution about student learning outcomes and assessment. Viewing library and campus interaction through the activity theory lens can demonstrate how particular factors might influence library collaboration and interaction on campuses. Institutional contexts and cultures, campus-wide academic priorities, leadership at the library level, and changing roles of librarians were all themes that emerged from this study that are important factors to consider when planning the design, implementation, assessment and dissemination of library SLOs.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.793
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 head0.201
GPT teacher head0.404
Teacher spread0.203 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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