Browsing by Subject "Scheduling"

Now showing 1 - 3 of 3
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    Doing better with library classes in 2019: Streamlining scheduling, marketing, and data gathering
    (2019-10-06) Stumpff, Julia C.; Craven, Hannah J.
    Objective: Librarians were hesitant to offer recurring classes because attendance was historically low. The scheduling system was cumbersome, and there was no consistent assessment of attendance, class content, or teaching quality. To improve this situation, the library adopted LibCal, marketed classes, and standardized assessment during the spring 2019 semester. The library is now has baseline data to make future evidence-based decisions about scheduled classes. Methods: After surveying current practices and discovering the campus had access to LibCal, two librarians and a staff member quickly trained themselves on and then employed LibCal. LibCal features adopted were: course templates, registration, email reminders, post-test emails with links to assessments, and attendance tracking. The librarians and staff successfully integrated into the marketing team in order to promote the classes across campuses. Results: With the new system in place, the number of classes offered doubled. This led to three times the number of attendees overall. The average class size increased by one. By providing a hard copy of our assessment survey complimented by an automated email with the online version, the survey response rate was 84%. Class attrition rate was 36%. Conclusions: Separating the registration and attendance data by month, day, and hour will inform future classes scheduling. Class content and teaching assessment will be analyzed and shared with the class instructors to improve course delivery. In the future, assessment will ask about participants’ locations to determine if distance learners are reached at other campuses across the state. Marketing efforts will continue to evolve.
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    Improving a library workshop service: Implementing change and enhancing the service based on data analysis
    (Emerald Insight, 2023-08-29) Stumpff, Julia C.; Craven, Hannah J.
    PURPOSE This paper aims to describe how one medical library implemented a new scheduling system, initiated data analysis and modified its regularly scheduled workshop program because of evidence-based decision-making. Academic libraries that struggle with workshop attendance may use this process as a model. DESIGN/METHODOLOGY/APPROACH Workshop registration data analysis focused on registrants' affiliation, role and location, and how registrants learned of workshops. Workshop attendance data analysis focused on which workshops, days, times of the day and months had the highest attendance. The analysis led to changes in marketing and targeted scheduling of future workshops by the time of day, day of the week and month of the year. FINDINGS Data collected for four years, fall 2018 – summer 2022 (12 semesters), shows a steady increase in the number of people attending library workshops. The increase in attendance and ROI experienced after the changes implemented at Ruth Lilly Medical Library (RLML) is significant as libraries often struggle with attendance, marketing and return on investment when offering ongoing educational workshops. ORIGINALITY/VALUE Many libraries offer ongoing workshops with low attendance. This article provides an example of how one library changed software and registration and implemented evidence-based decision-making related to scheduling which may have contributed to an increase in workshop attendance. Other academic libraries might consider adopting similar software and evidence-based decision-making to improve their library workshop service.
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