Journal article
Incorporating Quantitative Literacy into a T32 Retreat: Lessons and Considerations from Experience
eNeuro, v 12(6), 0027252025
01 Jun 2025
PMID: 40506253
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Regardless of discipline, quantitative literacy is a critical component of any scientist's skill set. A recent push from the NINDS has focused on enhancing and maintaining this expertise in trainees to enhance scientific fluency and to combat the reproducibility crisis. T32-funded programs often include off-campus retreats, providing opportunities to integrate a quantitative literacy component, or thematic focus. Here we will discuss the lessons and considerations learned from organizing a retreat focused on quantitative aspects of diagnostics for spinal cord injury. Survey results regarding retreat events and workshops reveal elements that were perceived to be successful by attendees. Events developed with active learning that focused on collaborative problem-solving and cross-discipline quantitative measures were well received by trainees. On the other hand, lectures and panel discussions were found to be less effective in boosting long-lasting improvements in quantitative literacy. Taken as a whole, these experiences from incorporating quantitative literacy into a T32 retreat offer strategies to consider when designing coursework or events focusing on this topic.
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Details
- Title
- Incorporating Quantitative Literacy into a T32 Retreat: Lessons and Considerations from Experience
- Creators
- Adam A. Hall - Drexel UniversityJenna R. McGrath - Drexel University
- Publication Details
- eNeuro, v 12(6), 0027252025
- Publisher
- Society for Neuroscience
- Number of pages
- 9
- Grant note
- T32NS121768 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:001510763300002
- Scopus ID
- 2-s2.0-105008545154
- Other Identifier
- 991022197323004721
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- Web of Science research areas
- Neurosciences