Faculty & Research

Teaching and Learning

Although a degree in Education is not offered through the School of Informatics and Computing, 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
Dan German Dan German
Suzanne-Menzel Suzanne Menzel
Joan Middendorf Joan Middendorf
Marty Siegel Marty Siegel
Katie Siek Katie Siek