Making Meaningful Connections with Jean Ryoo

In this interview with Jean Ryoo, we discuss equity as an evolving idea, what an ideal CS class looks like, collaborating and learning through research-practitioner partnerships (RPPs), the importance of examining our own biases, the importance of community, working through burnout/depression/anxiety, helping students through depression and suicidal ideation, the problems with whitewashing in education, and so much more.

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Connecting with and Listening to Students with Dominick Sanders

In this interview with Dominick Sanders, we discuss the importance of connecting with and listening to students, the impact of being a positive role model for kids, considering equity for individuals and across the entire state of South Carolina, what Dominick learned through their experience with Xposure STEM, Dominick’s plan for improving CS in South Carolina, Dominick’s experience with CSTA’s Equity Fellowship, how Dominick continues to learn and grow as a CS educator, thinking through intersectionality in relation to representation, and so much more.

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Computing Education Research with Mark Guzdial

In this interview with Mark Guzdial, we discuss the similarities and differences between constructionism and constructivism, think through when to situate and apply learning, discuss contextualized learning, creating multiple pathways for exploring computer science, problematizing subservient relationships with integrated curricula or courses, task-specific and domain-specific languages, using multiple learning theories through a multiperspectivalist approach, changes to public policy that Mark would make to help out CS educators and the field, and much more.

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Using Questions That Guide Mathematical Thinking to Think Computationally

In this episode I discuss some example questions we can ask to encourage kids to think deeper about computer science and computational thinking by unpacking two papers on using guiding questions in mathematics education. The first paper paper by Way (2014) is titled “Using questioning to stimulate mathematical thinking” and the second paper by Pennant (2018) is titled “Developing a classroom culture that supports a problem-solving approach to mathematics.”

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The Rise of CS Across the Pond with Phil Bagge

In this interview with Phil Bagge, we discuss the rise of CS in UK curricula, the evolution of Phil’s pedagogical approach, how time constraints impact pedagogical approaches, not letting the loudest voices drive instruction, how research informs Phil’s approach for working with teachers new to CS, how to emphasize student agency in teacher professional development, and much more.

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The Computer Science Teacher Landscape: Results of a Nationwide Teacher Survey

In this episode I unpack Koshy, Martin, Hinton, Scott, Twarek, and Davis’ (2021) publication titled “The Computer Science Teacher Landscape: Results of a Nationwide Teacher Survey,” which report provides recommendations for the field based on a summary of findings on teacher demographics, current challenges for CS educators, and the state of cultural relevance in CS education.

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Lessons Learned From CSTA Chapters Across the United States with Jason Bohrer

In this interview with Jason Bohrer, we discuss lessons learned coming into computer science education from another subject area, lessons learned working with CSTA chapters across the country (and during a pandemic), how CSTA has impacted the field and continues to evolve over time, how Jason continued to learn about CS without getting burned out, considering equity and inclusion when recruiting for CS education, CSTA’s new CS Teacher Standards, and much more.

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Individualized Learning Without Grades with Sofía De Jesús

In this interview with Sofía De Jesús, we discuss Sofía’s book (Applied Computational Thinking with Python: Design algorithmic solutions for complex and challenging real-world problems), the importance of bringing your full self into the classroom, designing for equity and inclusion, working with individuals one-on-one rather than teaching to group averages, problematizing grades in education, collaborating with educators, and much more.

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"I Can't Read, But I Can Code": Using Puppets to Teach C++ to Pre-readers: A Quasi-experimental Critical Phenomenological Mixed Methods Case Study [April Fools]

[This episode was a friendly April Fools prank about a fake paper I created] In this bonus episode I unpack Rollerstein’s (2021) publication titled “‘I can't read, but I can code’: Using puppets to teach C++ to pre-readers: A quasi-experimental critical phenomenological mixed methods case study” which investigated the use of puppets to teach C++ to pre-readers in pre-K CS classes.

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Healthy Boundaries with Siobahn Grady

In this interview with Siobahn Grady, we discuss the importance of self care and healthy boundaries, the impact of education, misconceptions and problematic assumptions people make with HBCUs, misconceptions and misunderstandings of being a professor in CS, lessons learned using machine learning to identify authorship of tweets, exploring the implications of social media and technology with students, the intersections of arts and CS, improving equity and inclusion in computing through action, and much more.

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How Early Does the CS gender Gap Emerge? A Study of Collaborative Problem Solving in 5th Grade Computer Science

In this episode I unpack Tsan, Boyer, and Lynch’s (2016) publication titled “How early does the CS gender gap emerge? A study of collaborative problem solving in 5th grade computer science,” which investigates the potential impact of gendered groups on the quality of completed Scratch projects in an in-school computer science class for 5th grade students.

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Rhizomatic Learning with Catherine Bornhorst, Jon Stapleton, and Katie Henry

In this panel discussion with Catherine Bornhorst, Jon Stapleton, and Katie Henry, we discuss what rhizomatic learning is and looks like in formalized educational spaces, affordances and constraints of rhizomatic learning, how to support individual students within a group setting, standards and rhizomatic learning, why few people know and use rhizomatic learning approaches, how to advocate for and learn more about rhizomatic learning, and much more.

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The Intersection of Gender, Race and Cultural Boundaries, or Why is Computer Science in Malaysia Dominated by Women?

In this episode I unpack Mellström’s (2009) publication titled “The intersection of gender, race and cultural boundaries, or why is computer science in Malaysia dominated by women?,” which “points to a western bias of gender and technology studies, and argues for cross-cultural work and intersectional understandings including race, class, age and sexuality” (p. 885).

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