Oberlin Workshop and Learning Sessions Leaders
OWLS (Oberlin Workshop and Learning Sessions) is a peer-led supplemental instruction program that supports students in a selection of introductory and intermediate courses in math and the natural sciences through active learning sessions. The Oberlin Workshop and Learning Sessions (OWLS) program is based on the Supplemental Instruction (SI) model for coursework support. Sessions are specific for a class, and are facilitated by a student (an OWLS Leader) who has taken the class and attends the class again along with the current students. The OWLS sessions integrate both “what to learn” and “how to learn,” that is, the content of the course as well as learning skills, in a fun, active and collaborative fashion that has been proved to work effectively for students to master coursework content.
The Center for Learning, Education and Research in the Sciences (CLEAR), which operates OWLS, is seeking OWLS leaders for fall 2018. This is a 10-hour-per-week, non-continuing student position lasting the length of fall semester. The position is open to current students.
Quatitative Skills Drop-in Tutors
Oberlin created the Quantitative Skills (QS) Drop-In Tutoring Center to provide peer support for natural sciences students in basic skills, like algebra and graphing, to advanced skills, like computational modeling. The center is available for anyone to use, and it is instrumental in Oberlin’s efforts to foster interdisciplinary work across the sciences and the whole liberal arts curriculum. Students often use QS for assistance with problem sets and lab reports, as well as for help with scientific writing, presentations and other skills that are used in the natural sciences. QS tutors are not trained to complete problems for their tutees, but help visitors to build skills in quantitative reasoning that are critical for problem solving in STEM fields.
The Center for Learning, Education and Research in the Sciences (CLEAR), which operates the Quantitative Skills Drop-In Tutoring Center, seeks QS Tutors for fall 2018. This is a 5-10 hour-per-week, non-continuing student position lasting the length of fall semester, and the position is open to current students. We invite students from all majors who have experience thinking quantitatively to apply.