How do policymakers think about diversity in CS? What policies affect diversity and how? And what kinds of policies should be promoted to effectively improve diversity?
And with Horatiu Halmaghi: what are the sustainability implications of policies to promote access to CS?
What’s been published so far:
- Teaching CS to All: Sustainability Implications. Horatiu Halmaghi, Elizabeth Patitsas. ICT4S 2018. (Poster here)
- How CS Departments are Managing the Enrolment Boom: Troubling Implications for Diversity. Elizabeth Patitsas, Michelle Craig, Steve Easterbrook. RESPECT 2016. (pdf, slides)
- Scaling up Women in Computing Initiatives: What Can We Learn from a Public Policy Perspective? Elizabeth Patitsas, Steve Easterbrook, Michelle Craig. ICER 2015. (pdf and slides here)
- Investigating the effects of women-in-CS initiatives. Elizabeth Patitsas. ICER 2013.
How can we explain the historical and geographical variances in how computer is gendered?
And with Jess Quynh Tran: what insights can queer theory give us for understanding how computing is gendered?
What’s been published so far:
- A Historical Examination of the Social Factors Affecting Female Participation in Computing. Elizabeth Patitsas, Steve Easterbrook, Michelle Craig. ITiCSE 2014. (pdf and slides here)
- The Social Closure of Undergraduate Computing: Lessons For The Contemporary Enrolment Boom. Elizabeth Patitsas. GE@ICSE 2019. (pdf and slides here)
- Jess will be presenting their work at 4S 2019
Looking at the relationship between disability, technology, and computer science education.
- I’ll be presenting at CSA 2019, discussing social theory for understanding “spoonies” (people with chronic fatigue/pain)
- I’ll be presenting at 4S 2019 on chronotypes, chronodiversity, and technology
With Lis Sulmont. What pedagogical content knowledge is needed to teach machine learning, parcticularly to people without a CS/math/stats background?
What’s been published so far:
- An Exploration of Pedagogical Content Knowledge for Teaching Machine Learning to Non-Majors. Elisabeth Sulmont, Elizabeth Patitsas, Jeremy R Cooperstock. SIGCSE 2019. (pdf and slides here)
- We’ve had a paper accepted in Transactions on Computing Education! Will be published in 2019.
- And a talk accepted to 4S 2019 on algorithmic literacy
With Horatiu Halmaghi. How can we teach science and technology studies (STS) to computer scientists and computer science students?
- Horatiu will be presenting at 4S 2019, on an autoethnography of runnning a workshop for CS people about sociopolitical issues
Previously, I participated in an ITiCSE 2012 working group on ‘Computing for Social Good’, focusing on sharing CS1 assignments with social context.
- Computer science education for social good. Michael Goldweber, John Barr, Elizabeth Patitsas. SIGCSE 2013.
- A framework for enhancing the social good in computing education: a values approach. Michael Goldweber, John Barr, Tony Clear, Renzo Davoli, Samuel Mann, Elizabeth Patitsas, Scott Portnoff. Working Group Report. ITiCSE, July 2012. (pdf and slides here). Won the Best Working Group award.
Short answer: social support! Staff meetings and team teaching were beneficial for TAs in their development as educators.
- A Case Study of the Development of CS Teaching Assistants and Their Experiences with Team Teaching. Elizabeth Patitsas. Koli 2013. (pdf and slides here)
- A Case Study of Environmental Factors Influencing Teaching Assistant Job Satisfaction. Elizabeth Patitsas. ICER 2012. (pdf and slides here)
- What can we learn from quantitative teaching assistant evaluations? Elizabeth Patitsas, Patrice Belleville. WCCCE 2012. (pdf and slides here)
With Pierre Theo Klein, we’re looking at how to better support tutors at the CS Help Desk.
I participated in an ITiCSE 2017 working group examining whether adult reports of their early childhood activities correlated with their later engagement in computing.
- Early Developmental Activities and Computing Proficiency. Quintin Cutts, Elizabeth Patitsas, Elizabeth Cole, Peter Donaldson, Bedour Alshaigy, Mirela Gutica, Arto Hellas, Edurne Larraza-Mendiluze, Robert McCartney, Charles Riedesel. Working Group Report. ITiCSE 2018.
It’s commonly said that CS grade distributions are bimodal. But are they? Short answer: no. (with Jesse Berlin)
- Evidence That Computer Science Grades Are Not Bimodal. Elizabeth Patitsas, Jesse Berlin, Michelle Craig and Steve Easterbrook. ICER 2016. Won the John Henry Award. (pdf, slides)
Short answer: yes! We found that teaching variants of data structures side-by-side, and having students compare and contrast the different data structures led to more student learning than if you present the different data structures sequentially.
- Comparing and Contrasting Different Algorithms Leads to Increased Student Learning. Elizabeth Patitsas, Michelle Craig, Steve Easterbrook. ICER 2013. (pdf, blog post)
- On the Many Misconceptions about #Hashtables. Elizabeth Patitsas, Michelle Craig, Steve Easterbrook. SIGCSE 2013.
How do we make digital logic labs interesting and engaging for students? I was part of a project to redevelop the lab curriculum for the digital logic course at UBC. During the process I surveyed students and TAs about the labs, to evaluate the curriculum changes.
- Effective Closed Labs in Early CS Courses: Lessons from Eight Terms of Action Research. Elizabeth Patitsas, Steve Wolfman. SIGCSE 2012. (pdf and slides here)
- Revitalizing Labs: Lessons from 2.5 Years of Iterative Development and Assessment of Digital Logic Labs. Elizabeth Patitsas, Steven Wolfman, Meghan Allen. SIGCSE, March 2011. Also presented at the CWSEI End-of-Year Event, April 2011. (Poster here)
- Changes in CPSC 121: Toward a Coherent Picture of Computation. Elizabeth Patitsas, Kimberly Voll. CWSEI End-of-Year Event, April 2010. Also presented at UBC Celebrate Learning, June 2010. (Poster here)
- Circuits and Logic in the Lab. Elizabeth Patitsas, Kimberly Voll, Mark Crowley, Steven Wolfman. Western Canadian Conference on Computing Education, May 2010. (pdf)
- Revising an Introductory Computer Science Course: Exploratory Labs, Interactive Lectures, and Just-in-Time Teaching. Gwen Echlin, Piam Kiarostami, Elizabeth Patitsas, Steven Wolfman. CWSEI End-of-Year Event, April 2009. (Poster here)