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Record W2601913352 · doi:10.18438/b8kg98

Usage Volume and Trends Indicate Academic Library Online Learning Objects and Tutorials Are Being Used

2017· article· en· W2601913352 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2017
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsWorld Wide WebComputer sciencePage viewSubject (documents)Interface (matter)Online searchInformation retrievalWeb pageMultimediaWeb navigationStatic web page

Abstract

fetched live from OpenAlex

A Review of:
 Hess, A. N., & Hristova, M. (2016). To search or to browse: How users navigate a new interface for online library tutorials. College & Undergraduate Libraries, 23(2), 168-183. http://dx.doi.org/10.1080/10691316.2014.963274
 
 Abstract
 
 Objective – To discover how users interact with a new online interface for learning objects, user preferences for types of access when given both browsing and searching options, and user needs for tutorial subject matter.
 
 Design – Mixed methods, with quantitative analysis of web traffic and qualitative analysis of recorded search terms through grounded textual theory.
 
 Setting – An academic library in the Western United States of America.
 
 Subjects – Users of the Libraries’ online tutorials and learning objects.
 
 Methods – The researchers collected web traffic statistics and organically occurring searches from the Libraries’ tutorial access interface. They defined the collection period as the 2013/2014 academic year, with collection beginning in September 2013 and ending in April 2014. Web traffic for organic searches, facilitated searches (search results accessed through clicking on particular words in a tag cloud), and categorical browsing was collected via Google Analytics. They categorized other interaction types (accessing featured content, leaving the page, etc.) under an umbrella term of “other.” Their analysis of web traffic was limited to unique page views, with unique page views defined as views registered to different browser sessions. Unique page views were analyzed to determine which types of interface interaction occurred most frequently, both on-campus and off-campus, and whether there were differences in types of interaction preferred over time or by users with different points of origin. Individual organic search keywords and phrases, and the dates and times of those searches, were separately collected and recorded. One of the researchers coded the recorded organic search terms using grounded textual theory analysis, and the researcher formed generalized categories. They sent these categories and a random sample of 10% of the recorded search terms to librarians unaffiliated with the study, and used their categorizations of the search term samples to validate the initial researcher’s textual analysis.
 
 Main Results – After analyzing the 5,638 unique page views recorded, researchers found that categorical browsing was used more frequently than facilitated searching throughout the year, and more frequently than organic searching for 6 of the 8 recorded months. Organic searching was used more frequently than facilitated searching during most months, while both organic and facilitated searching were less likely to be engaged in by users working on Saturday or Sunday. They found that interactions in the “other” category were quite high, and the researchers attributed this to featured videos on the interface homepage being required for a number of classes. The researchers discovered that patterns in interface use were similar between on-campus and off-campus users, and that most traffic to the interface was through referral from other websites (such as the library homepage). Direct traffic (from URLs manually typed in or in documents) was the second most frequent point of access, while users arriving at the interface from a search engine interaction was a distant third. Grounded textual theory analysis of the 14,428 collected organic searches achieved a 92% consensus in coding, and showed a user focus in searching for specific resources, tasks, and knowledge, rather than broader conceptual searches. Additionally, researchers noticed that a significant number of users performed organic searches for videos that were featured on the front page, possibly indicating that certain users engage with search functions before viewing page content. 
 
 Conclusions – The researchers concluded that despite the limitations of the study, the usage volume and trends identified indicate that the Libraries’ online learning objects and tutorials are being used. They also concluded that the categorization and labelling of these learning objects has been successful because the categorical browsing function is used more than the other search functionalities. The researchers determined that they should consider the non-user in the future, and examine the barriers that students, faculty, and staff encounter when attempting to use online learning content. They affirm a need to develop, via further studies, a more thorough understanding of the motivations behind user interactions.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0050.710
Open science0.0010.001
Research integrity0.0000.001
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 head0.021
GPT teacher head0.272
Teacher spread0.251 · 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