In the Wake of Discovery: Student Perceptions, Integration, and Instructional Design

Hamlett, Alexandra; Georgas, Helen

doi:10.1080/19322909.2019.1598919

Cited by 12 publications

(7 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The low use of the search tools reinforces previous observations (Asher et al, 2013;Dempsey and Valenti, 2016). The findings of scrolling down behavior under the 10 results contradicted the findings of the previous studies for example, (Georgas, 2014;Hamlett and Georgas, 2019) where they confirmed that students are unlikely to go beyond the first page, listed 10 results per page, of search results. The scrolling down behavior revealed the misuse of the sort function where the results could be rearranged chronologically based on the (newest, oldest, or relevance).…”

Section: Discussionsupporting

confidence: 75%

See 1 more Smart Citation

Evaluating the user experience in a digital library

Barifah

Landoni

Eddakrouri

2020

Proc Assoc Inf Sci Technol

View full text Add to dashboard Cite

Digital libraries (DLs) have been evaluated implicitly by analyzing the query behavior extracted from the log files (LFs), and explicitly by conducting user studies and usability tests. Unfortunately, such approaches do not fully assess the quality of the user experience (UX). Recently, UX is gaining momentum as a critical success factor across all sectors and became the ultimate criterion to guide user‐centered design. This is why we describe how the Mahlke's interaction UX framework can be adapted to the DL. We conducted a laboratory user study with 65 undergraduate students. Three data collection tools were considered: questionnaires, screen recording, and pick‐a‐mode scale. The findings of the study indicate that considering the UX when evaluating the DL provides useful insights of different aspects of the user interactions, perceptions and affective variables. The need to improve the DL system and simplify its interface still persists. Revisiting interfaces by implementing visualizing techniques is a possible solution.

show abstract

Section: Discussionsupporting

confidence: 75%

“…Students in particular do not always understand the mechanism of the search tools. Therefore, such tools are not used to their full potential and not often underutilized (Dempsey and Valenti, 2016; Hamlett and Georgas, 2019).…”

Section: Literaturementioning

confidence: 99%

Evaluating the user experience in a digital library

Barifah

Landoni

Eddakrouri

2020

Proc Assoc Inf Sci Technol

View full text Add to dashboard Cite

show abstract

“…Students often do not look beyond the first page of results, so they are apt to use sources with lesser authority, currency, or relevance to their topics. 26 In Valentine's DE study, the researchers noted that although students were asked to find relevant articles for the topic, they logged the first results they received without employing any discernment strategies. 27 Two other areas of concern related to patron problems with DEs are issues of low facet understanding/use and finding full text/interlibrary utilization.…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for Measuring Relevancy in Discovery Environments

Galbreath,

Merrill,

Johnson

2024

ITAL

View full text Add to dashboard Cite

Institutional discovery environments now serve as central resource databases for researchers in the academic environment. Over the last several decades, there have been numerous discovery layer research inquiries centering primarily on user satisfaction measures of discovery system effectiveness. This study focuses on the creation of a largely automated method for evaluating discovery layer quality, utilizing the bibliographic sources from student research projects. Building on past research, the current study replaces a semiautomated Excel Fuzzy Lookup Add-In process witha fully scripted R-based approach, which employs the stringdist R package and applies the Jaro-Winkler distance metric as the matching evaluator. The researchers consider the error rate incurred by relying solely on an automated matching metric. They also use Open Refine for normalization processes and package the tools together on an OSF site for other institutions to use. Since the R-based approach does not require special processing or time and can be reproduced with minimal effort, it will allow future studies and users of our method to capture larger sample sizes, boosting validity. While the assessment process has been streamlined and shows promise, there remain issues in establishing solid connections between research paper bibliographies and discovery layer use. Subsequent research will focus on creating alternatives to paper titles as search proxies that better resemble genuine information-seeking behavior and comparing undergraduate and graduate student interactions within discovery environments.

show abstract

“…Adams & Hanson (Adams and Hanson, 2020) used similar metrics as our present study, investigating Primo Analytics sessions and searches in addition to usability testing to explore students' experience with the library's discovery layer on mobile devices. In a study focused on student search behavior, Hamlett & Georgas (Hamlett and Georgas, 2019) make recommendations for "modulating these ingrained habits" through improvements to discovery systems, citing multiple studies on users' misunderstanding of the scope (e.g., what is being searched) and source types such as format (e.g., articles, journals, library website, books). This research emphasizes distinct user behaviors covered in other recent studies such as students' difficulty with navigating Primo due to the overwhelming number of choices, finding that students did not use tools such as save, cite, or email.…”

Section: On the Present Situationmentioning

confidence: 99%

“…Adams and Hanson (2020) used similar metrics as our present study, investigating Primo Analytics sessions and searches in addition to usability testing to explore students’ experience with the library’s discovery layer on mobile devices. In a study focused on student search behavior, Hamlett and Georgas (2019) make recommendations for “modulating these ingrained habits” through improvements to discovery systems, citing multiple studies on users’ misunderstanding of the scope (e.g. what is being searched) and source types such as format (e.g.…”

Section: On the Present Situationmentioning

confidence: 99%

To pre-filter, or not to pre-filter, that is the query: A multi-campus big data study

Cribbs

Gardner

2022

Journal of Librarianship and Information Science

View full text Add to dashboard Cite

Library discovery platforms, which provide searchable user interfaces as their front-facing layer, aggregate tremendous amounts of metadata from multiple data streams describing a wide variety of print and electronic resources. Complicating the matter further, resources may differ in availability or delivery time depending not only on their media but also upon the source of the data stream describing them. How should libraries structure end users’ options for searching discovery platforms in light of the many options available? This study used a nonexperimental design and quantitative methods to analyze users’ revealed preferences for query type in twenty-four academic libraries in a data set containing metadata, sans queries, for over 64 million searches. Libraries studied were all located in California, used the same discovery layer software, and served similar user and faculty constituencies; however, the number of query types and pre-filtering options available differed between institutions. Results show that, when users were presented with the choice between search options, most conducted simple, more broad searches rather than complex and specific searches. When search options were highly constrained by the default choice architecture, but complex searches were possible, few users opted out of the default simple search. Implications for usability of discovery layers and the motivations of librarians in choice architecture are nontrivial and are discussed. The desires of librarians and “power user” faculty must be balanced with the fact that most users are novices and users of all abilities are largely habituated to commercial search products which emphasize post-search results filtering.

show abstract

In the Wake of Discovery: Student Perceptions, Integration, and Instructional Design

Cited by 12 publications

References 15 publications

Evaluating the user experience in a digital library

Evaluating the user experience in a digital library

Framework for Measuring Relevancy in Discovery Environments

To pre-filter, or not to pre-filter, that is the query: A multi-campus big data study

Contact Info

Product

Resources

About