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Record W2727365134 · doi:10.18438/b8cd4t

Mixed Methods Not Mixed Messages: Improving LibGuides with Student Usability Data

2017· article· en· W2727365134 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2017
Typearticle
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityComputer scienceExecutableProtocol (science)TerminologyThink aloud protocolProtocol analysisUsability engineeringRelation (database)Human–computer interactionWorld Wide WebPsychologyDatabase

Abstract

fetched live from OpenAlex

Abstract
 
 Objective – This article describes a mixed methods usability study of research guides created using the LibGuides 2.0 platform conducted in 2016 at an urban, public university library. The goal of the study was to translate user design and learning modality preferences into executable design principles, and ultimately to improve the design and usage of LibGuides at the New York City College of Technology Library. 
 
 Methods – User-centred design demands that stakeholders participate in each stage of an application’s development and that assumptions about user design preferences are validated through testing. Methods used for this usability study include: a task analysis on paper prototypes with a think aloud protocol (TAP), an advanced scribbling technique modeled on the work of Linek and Tochtermann (2015), and semi-structured interviews. The authors introduce specifics of each protocol in addition to data collection and analysis methods.
 
 Results – The authors present quantitative and qualitative student feedback on navigation layouts, terminology, and design elements and discuss concrete institutional and technical measures they will take to implement best practices. Additionally, the authors discuss students’ impressions of multimedia, text-based, and interactive instructional content in relation to specific research scenarios defined during the usability test. 
 
 Conclusion – The authors translate study findings into best practices that can be incorporated into custom user-centric LibGuide templates and assets. The authors also discuss relevant correlations between students’ learning modality preferences and design feedback, and identify several areas that warrant further research. The authors believe this study will spark a larger discussion about relationships between instructional design, learning modalities, and research guide use contexts.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.829
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0040.346
Open science0.0030.003
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 head0.059
GPT teacher head0.350
Teacher spread0.290 · 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