Critical Thinking Education
Saul Perlmutter, Professor
Physics
Closed. This professor is continuing with Fall 2024 apprentices on this project; no new apprentices needed for Spring 2025.
Sense & Sensibility & Science is a project which brings together researchers and educators to improve the way we use science to make decisions. Humans make decisions every day. As individuals, voters, and citizens of the world, the choices we make have the power to shape the world around us. The problem is, we don't make choices very well. SSS attempts to address this. Our curriculum uses the tools developed by science to help people better understand the world around them and make better decisions together in an increasingly uncertain world.
Role: We are seeking students for either of these two tasks:
(1.) Data science educational modules (3 students)
Task: Develop several Jupyter notebooks to train students to apply critical thinking skills to data science problems. This involves searching for suitable public data sets, analysing and presenting the data in a way that emphasises the pitfalls one could fall into if specific concepts in scientific thinking were not used.
Skills required: Python / Jupyter / Pandas experience (e.g. through data 8 or elsewhere)
Skills gained: Critical thinking education, data science, science communication
(2.) Video editing (1-2 students)
Task: Produce one or two short videos showing sets of students talking about what they have learned from the course and how they've applied it in their lives outside the classroom.
Skills required: Video recording / editing experience
Skills gained: Interview, video production
Qualifications: The applicant should be in good standing.
We are seeking students with the following skills:
Data 8 and/or Data 100.
Interest in science education.
Day-to-day supervisor for this project: Winston Yin, Ph.D. candidate
Hours: to be negotiated
Off-Campus Research Site: remote
Related website: https://sensibility.berkeley.edu/index.php?title=Main_Page
Engineering, Design & Technologies Mathematical and Physical Sciences