Episode 143: Computational Thinking 2.0 with Dr. John Chapin
In Episode 143 of Teaching Python, Sean and Kelly sit down with Dr. John Chapin, a renowned computer science teacher and presenter at CSTA, to explore the transformative power of Computational Thinking 2.0 in CS education. They discuss its practical applications, the importance of Python and data science in modern curricula, and the future of teaching coding and machine learning.
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Show Notes
In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators.
Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design.
Special Guest: Dr. John Chapin.
Links:
- (PDF) CT 2.0
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- ACM CompEd Home - ACM CompEd
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