Posts tagged "Assessment"
from Tiny Studies

How Undergraduates Evaluate Sources

Photo of a card sorting exercise, with 5 columns of content attached to a wall.

Source evaluation is an important skill in our information landscape, which is why librarians teach this concept to students during course-integrated information literacy sessions. As part of an IMLS grant, our research team is conducting a two part study to understand the impact of library instruction on students’ evaluation of sources. In this post, we discuss the use of a questionnaire and role-playing interviews to learn more about students’ confidence in their evaluation abilities.

Exploratory Research After Launch: Interviewing Users About Library Search

Word cloud of interview themes, such as results relevance, filtering, record display, call number, course reserves, advanced search, Boolean queries, etc.

U-M Library’s Library Search launched in 2018 as a unified search engine application containing five previously distinct interfaces: Catalog, Articles, Databases, Online Journals, and Library Websites. Library Search was a big change for users, and an increase in user support requests suggested that further exploration was needed to pinpoint user pain points. The authors began an exploratory study that helped understand users’ experiences and identified areas for continued work.

Approaches to Library Assessment Using Multiple Data Sources

Image of 3 circles, representing a survey, a data store, and a library shelving area.

This blog post presents how the use of multiple streams of data benefited two recent U-M Library studies. For example, one recent study merged survey data, U-M human resources data, and Library document delivery data to provide a very rich picture of how diverse groups on campus use and experience the Library’s document delivery service. Some advantages of joining multiple data sources in assessment projects are discussed in the context of the two example studies.

Applying Iterative Design to Assessment

Iteration in the design thinking process: Understand, Explore, and Materialize categories, with steps of empathize, define, ideate, prototype, test, implement.

A project team charged with providing staff training activities approached the project assessment with an iterative design lens, allowing for responsive and timely development of multiple opportunities for staff engagement around organizational and personal change. The team tried out different assessment techniques related to the opportunities offered.

So, We’ve Got This Data… (Part 2)

Line image of questions to ask about data: what do we want to know, what could data show, who do we want to show, why do we want to know, and what does the data represent.

Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In this second blog post, the author continues to highlight steps for working with data that is generated by your daily tasks.

So, We’ve Got This Data… (Part 1)

Line image of questions to ask about data: what do we want to know, what could data show, who do we want to show, why do we want to know, and what does the data represent.

Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In two blog posts, the author shares some steps for working with data that is generated by your daily tasks.

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