Abstract: Learning complex topics, especially in Computer Science-related fields, can be daunting for students. My experiences heavily influence my teaching philosophy as a student and instructor in Computer Science and Engineering departments on two continents. I have learned to contextualize methods and examples to make them relevant to different student groups. To do this, I teach with three goals in mind: 1) Demystify complex topics, 2) Foster an inclusive learning environment, and 3) Equip students with practical skills for agency. In this talk, I will detail some strategies I have employed in class concerning these categories. I will also explore some pitfalls I have encountered and my key takeaways from them. Lastly, I will conclude the talk with examples of specific techniques and strategies that I hope to employ.

Short Bio: Lynn Kirabo is a Ph.D. candidate in the Human-Computer Interaction Institute at Carnegie Mellon University. She is part of the Transportation, Bots, and Disability lab where she is advised by Dr. Aaron Steinfeld (Robotics Institute). She enjoys teaching students courses at the intersection of Intro CS, HCII, and A11y. Kirabo’s research investigates the future of equity in smart public transit systems in urban cities. In her research, she centers on the lived experiences of persons with disabilities in these cities. She completed an MS in Human-Computer Interaction at Carnegie Mellon, an MS in Information Technology at Carnegie Mellon Africa, and a Bachelors in Information Technology at Makerere University. She has 10 years of experience working as a Front-End Developer and Software Engineer in non-profits and clean energy.