Upcoming Presentations

League for Innovation in the Community College

Beyond Engagement: Evidence-Based Strategies for Improving Learning Online

Date & Time TBD

Students and faculty both encounter challenges in the online environment. These challenges frequently manifest and are understood in terms of low student engagement. In this session, researchers and community college faculty will present a specific and actionable framework to bolster students’ abilities to remain motivated and manage their learning processes in online courses. The presenters refer to these mutually reinforcing mindsets and behaviors as self-directed learning (SDL) skills and they include motivational processes (e.g., self-efficacy), metacognitive processes (e.g., planning), and applied learning processes (e.g., help seeking). Presenters will describe a set of evidence-based instructional strategies to support SDL developed in collaboration with instructors at broad-access institutions. Speakers will share research findings on how the strategies have been implemented in postsecondary online STEM courses and their effect on student outcomes. A community college faculty member will share their experience implementing the strategies in an online biology course.

Presenters

Ellen Wasserman, Research Associate, CCRC

Allystair Jones, Department Chair, Science & Professor of Biology, Odessa College

Keena Walters, Education Research Associate, SRI Education

Layoff, Lemons, and Faculty Quality: Can You Recognize an Effective Adjunct Faculty When You Recruit One?

Association for Education Finance and Policy (AEFP) Annual Conference
March 17, 2017
Washington, DC

Can adjunct faculty’s characteristics from their jobs before college employment predict their effects as college instructors? This paper is the first to link adjunct faculty’s employment history before they started teaching in college with college transcripts of students they teach. The author estimates valued-added for college faculty using a two-way fixed effects model controlling for both course- and instructor- fixed effects and then examines to what extent instructor characteristics from previous jobs (e.g., earnings) and industry experiences outside education, can predict their value-added estimates. The author uses students’ future performance to infer current instructor quality. To capture multiple aspects of instructor effects, the author measures student outcomes using subsequent course performance in the subject area, credential completion, and employment and earnings. The author finds that adjunct faculty who are better at improving course performance are not always the ones who boost students’ long-term outcomes including credential completion and earnings. The author also finds that adjunct faculty who have worked in non-education sectors and had higher earnings before teaching at colleges are associated with higher value-added measured by students’ long-term outcomes.

Participants

Assistant Professor of Higher Education Policy
University of Delaware