University of Nebraska Invites Participation in Quantitative Modeling Study
Do you integrate quantitative skills into your biology course?
Researchers at the University of Nebraska-Lincoln are looking for instructors who take different approaches to integrating quantitative skills with biology concepts in their courses to participate in an NSF-funded research project. Examples include working with graphs/formulas, developing quantitative models, or reflecting on the purpose of mathematical models.
Participating instructors will be engaged intermittently over the course of three years and will be compensated $500.
We are recruiting faculty who:
- Teach a biology class or have a life science focus;
- Integrate (even occasionally) quantitative interpretation (figures, data tables, trend lines, extrapolation, etc.) and/or quantitative modeling (creating, testing, revising models of phenomena) and/or metacognition of modeling (purpose or steps of modeling, theory building) into your biology instruction;
- Are willing to talk about their teaching and their students’ learning of quantitative topics;
- Are willing to include an assessment (can be done outside of class time) into their course. The assessment is available here.
We expect the time commitment to be approximately 5 hours, spread over 3 years and are only requesting the inclusion of the assessment into your normal teaching practices. At the end, you would receive a $500 stipend.
Details of Expectations:
Year 1 (fall 2020/spring 2021)
- Complete survey of how you integrate QM into your biology classroom
- Send materials related to 2-3 representative class periods (target periods)
Year 2 (fall 2021/spring 2022)
- Recruit students to complete an early and late semester assessment
- Determine incentive level for completing assessment and provide it to students when given list of students who complete the assessment
- Video-record 2-3 target periods (camera can be provided if needed)
- Submit video recording electronically along with materials related to the target periods
- Complete a brief follow-up conversation about target periods
Year 3 (fall 2022/spring 2023)
- Complete an interview about your motivations for integrating QM, implementation challenges and benefits, and student assessment results