Related Experiment Video
Updated: Aug 1, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Designing and assessing a data literacy internship program for graduate health sciences students
Bethany Sheriese McGowan1, Abigail Ekeigwe2, Kari Clase3
1bmcgowa@purdue.edu, Associate Professor, Libraries and School of Information Studies, Purdue University, West Lafayette, IN.
Abstract:
This case study presents the results of a data internship and workshop series on data analysis in qualitative biomedical systematic reviews. In a newly developed librarian-led internship program, an intern was trained on data literacy concepts and data analysis tools and, in turn, helped recruit and train other graduate health sciences students. Due to COVID-19 restrictions, a flipped classroom model was applied to develop a completely virtual learning experience for both the intern and workshop attendees. Both the data intern and workshop participants reported improved confidence in data literacy competence at the end of the project. Assessment results suggest that while the workshop series improved participants' data literacy skills, participants might still benefit from additional data literacy instruction. This case also presents a model for student-led instruction that could be particularly useful for informing professional development opportunities for library interns, fellows, and student assistants.
More Related Videos
10:17Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
09:55Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
Related Concept Videos
Health Literacy
Overview of Biostatistics in Health Sciences
Data Collection II
Data Collection I
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Surveys