Teaching and Learning

Although a degree in Education is not offered through the School of Informatics, Computing, and Engineering, a group of faculty have come together to investigate the practice of teaching as a scholarly pursuit. We examine pedagogy practices, student learning outcomes, and strategies for collecting and analyzing data related to teaching Informatics, Computer Science, Library Science, and Engineering. The best practices for conveying knowledge in these fields are still emerging. Our research group studies the epistemology of our disciplines — how do the experts learn, understand, process, and utilize the skills that make them experts and how do we include students in this work? How can data collected in STEM classrooms be used to improve student experiences? Members of this research group participate in on-going dialogs about these topics with other researchers in these fields.

Current Research Topics:

  • Active Learning
  • Classroom Assessment Techniques
  • Decoding Computer Science and Informatics
  • Fostering Diversity and Inclusion in the Classroom
  • Learner-Sighted Teaching Practices
  • Online Education
  • Peer-Led Teaching and Learning
  • Service Learning
  • STEM Education
  • Team-Based Learning
  • Wise Feedback

Faculty in this area include:
Adeel Bhutta, Saul Blanco, Mehmet Dalkilic, Bradford Demarest, J Duncan, Dan-Adrian German, Mitja Hmeljak, Shabnam Kavousian, Erika Lee, Suzanne Menzel, Joan Middendorf, Charles Pope, Dan Richert, Martin Siegel, Katie Siek, Erik Wennstrom