Teaching

I'm building out materials and pedagogy for a few different classes that I will be teaching next year. Stay tuned for updates!

Course Materials

• Social and Ethical Issues in Computing
• Introduction Human-Computer Interaction (work-in-progress)
• Introduction to Algorithmic Bias and Fairness (work-in-progress))

Pedagogy

As of writing, I do not have a single formal pedagogical approach, however I have been inspired by different aspects of the following:

• rhizomatic learning ("the community is the curriculum")
• deceleration ("learning through patience and immersive attention")
• inquiry education ("teaching as a subversive activity")
• deceleration ("teaching patience")
• constructionism ("learning through experimentation and participation")
• feminist pedagogy ("examine power structures")
• ethics of care for education ("education is central to a caring society")
• Montessori education ("establishing peace is the work of education")
• project-based learning ("learning through engagement")
• ...and others (contact me if you have recommendations)

Further Resources

I have also used the following related resources to reform and revise my syllabi:

• Mar Hicks' courses in the history of technology, women in computing, digital labor, disasters, science and technology studies, and more
• A framework for teaching ethics through science fiction, written by Emanuelle Burton, Judy Goldsmith, and Nicholas Mattei
• Brent Hecht's "Algorithms and Society" course
• Daniel Greene's classes in "Designing Fair Systems," "Technology, Culture, and Society," and others
• "A curriculum for building and using technology consentfully," from The Consentful Tech Project
• "Practical Data Ethics" from Fast AI
• Casey Fiesler's spreadsheet of Tech Ethics Curricula (blog post for context)