M08: Hybrid Horizons: Rethinking Introductory Statistics for Life Scientists


By Bethany White, Jastaranpreet Singh


Information

An introductory statistics for life sciences course was co-developed by a statistician and an immunologist at our large research-intensive institution in 2018 and it has been team-taught from this multidisciplinary perspective since. The course learning outcomes, activities and assessments were informed by the needs of participating life sciences programs as well as the Guidelines for Assessment and Instruction in Statistics Education (GAISE, 2016) and other evidence-based practices in teaching and learning (see Tong et al., 2022). Although this course was originally designed as an in-person course, we found some of the learning activities and assessments worked quite well, and perhaps even better, online, when we abruptly moved online in response to the pandemic. Therefore, we strategically combined online (asynchronous) and in-person elements in a hybrid format to leverage strengths of in-person and online formats, and offer students more flexibility and enhance their learning. We welcomed around 250 students to the first offering of this hybrid course earlier this year. In this poster, we will detail the hybrid format of the course, share student feedback on their learning experiences, and reflect on our journey with this course as we look ahead to what’s next for future course iterations.


Recording

Bethany_White_BW_JS_eCOTS_2024_slides.pdf

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