Teaching can be lonely. Improving anything is often easier when you're surrounded by like-minded professionals with similar goals. We offer a creative and encouraging community where faculty members can be authentic in the refinement of their teaching practice.
Measure impact through data
Faculty members and administrators want to know what they are doing is making a difference. While respecting the privacy of the classroom and the professional development experience, through our fellowship program, data on teaching practice is made visible for the first time.
Meet faculty where they are
Most higher education professional development uses a “prescriptive” method (classes, seminars and workshops), which adult learning theory explains is not extremely effective in changing faculty behavior in the classroom. Our method of reflective practice changes classroom behavior.
Improve on certifications
Higher education has grown to accept problematic measures of good teaching. For example, typical certifications show that faculty members understood the content, at that moment in time; it is not an indication of application. Through our fellowship program, faculty members and their institutions see what's actually happening in the classroom over the course of multiple academic terms.
Support all faculty
Part-time contingent faculty make up more than 50 percent of the instructors, teaching many of the introductory classes where students struggle. Unfortunately, part-timers often cannot get to the teaching centers on campus for professional development. As a result, vulnerable students do not benefit from enhanced teaching techniques. Our approach supports all faculty members, wherever they are and whenever they are ready.
Hire based on teaching skills
Where do you go for faculty who are great at teaching? Course evaluations have their limitations. Hiring faculty who use great teaching techniques is difficult without solid data from their past. We connect you with faculty who use evidence-based teaching techniques, and they have the data to prove it.