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This week we are joined by Philip Guo and Sam Lau, researchers at the University of California, San Diego. Philip and Sam have recently published research on how computer science instructors use artificial intelligence tools like ChatGPT and GitHub Copilot in their classrooms. Join us to learn more about the data behind how generative AI is changing the way we teach computer science and coding.
Special Guests: Philip Guo and Sam Lau.
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In this episode, Kelly and Sean meet with Adam Schroeder, community manager at Plotly and author of The Book of Dash. We'll talk about how teachers can use data visualization in the classroom with Dash to bring data to life for their students.
If you're not familiar with the Dash and Plotly Python libraries, you can get started here with us! Dash is a library for building web-based dashboards to visualize your Python data. It uses Plotly, a library for making beautiful visualizations of data that are highly interactive.
Both libraries are open-source and maintained by the Plotly company, which provides enterprise-grade implementations of Dash and Plotly for business customers.
Special Guest: Adam Schroeder.
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In Episode 111 of the Teaching Python podcast, join special guest Eric Matthes and your hosts Kelly and Sean as they dive into the intriguing world of generative AI in education. Coming fresh from the Education Summit at PyCon 2023, they provide a comprehensive recap of the event, highlighting the successful speaker topics, the ideal room size, and the engaging breakout sessions that made the summit a resounding success.
As an extra resource, Eric Matthes, author of the widely acclaimed "Python Crash Course," joins the discussion, providing valuable insights into the intersection of generative AI and education. For those interested, Eric's book can be found on Amazon.
The conversation then delves into the complexities surrounding generative AI, emphasizing that while it holds tremendous potential, it is still in its early stages, leaving us with more questions than answers. To lay the groundwork, the hosts define generative AI and demystify how large language models work, drawing an analogy to refrigerator poetry magnets to aid comprehension.
As the discussion unfolds, Kelly, Eric, and Sean raise crucial questions about the role of generative AI, specifically ChatGPT, in education. They explore the optimal level of usage, the necessary policies and governance to support its implementation, and draw parallels to the concept of the "Goldilocks zone" in astronomy, seeking the right balance for effective integration.
The episode moves to thought-provoking dialogue regarding the future proficiency levels required for learners in problem-solving scenarios. They examine whether coding proficiency alone will suffice or if learners will need to develop AI literacy, enabling them to harness the power of AI to generate code and solutions.
Tune in to Episode 111 of the Teaching Python podcast to gain a deeper understanding of the implications and potential of generative AI in education. As the hosts explore the evolving landscape, they shed light on the importance of finding the right balance and preparing learners for the challenges and opportunities that lie ahead.
Special Guest: Eric Matthes.
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Special Guest: Kattni Rembor.
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For more details, visit the Teaching Python Podcast website.
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Kelly and Sean interview Ryan Dehmoubed, co-founder of JuiceMind, a startup focused on hardware and software for the K-12 computer science education market. Their initial products focus on the AP Computer Science curriculum with a goal of making coding more engaging while showing students the practical applications of coding.
In this interview, we'll cover everything from the shortage of computer science teachers to smart doorbells to going beyond Kahoot! to tools that help teachers assess student learning progress.
Special Guest: Ryan Dehmoubed.
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Have you ever wondered how Siri, Alexa, or Google Assistant can understand and respond to our commands? Or how Netflix or YouTube recommend the next video for us to watch? The answer lies in Artificial Intelligence (AI), a branch of computer science that allows machines to perform tasks that usually require human intelligence, such as speech recognition, image processing, and decision-making. In this episode of The Teaching Python podcast, Dr. Nisha Talagala, the founder and CEO of AIClub, a nonprofit organization that teaches AI to students and educators, joins hosts Sean Tibor and Kelly Schuster-Paredes to demystify AI and Machine Learning (ML) for middle school students.
Dr. Talagala starts by explaining how she started teaching her then 9-year old daughter about AI and quickly realized that there were a lot of gaps in the available AI materials for teaching. She started assembling resources and organizing the content in a way that worked well for kids while providing them with room to grow their knowledge and skills. This quickly turned into a book project, The Fundamentals of Artificial Intelligence, Volume 1 with her co-author Dr. Sindhu Ghanta.
Next, the conversation shifts to teaching the ethics of AI and the potential risks and benefits of AI for society. Dr. Talagala explains how students need projects that they can relate to and easily adapt to answer the questions they generate. She suggests that middle school students can play a role in shaping the future of AI by learning about these issues, questioning the status quo, and advocating for responsible AI practices. The episode ends with resources and recommendations for teachers who want to learn more about AI and ML.
Special Guest: Nisha Talagala.
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After years of being atop our "must-have guests" list, Kelly and Sean finally get to interview Al Sweigart, author of Automate the Boring Stuff with Python, as well as many other books and courses that help people learn Python more effectively
Join us as we talk about everything from our favorite teaching examples, the process of book writing, fostering cats, and more.
Special Guest: Al Sweigart.
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Kelly and Sean are organizing the PyCon US Education Summit for 2023. Join us to learn more about the summit, what we've learned from attending, and how you can get involved.
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In episode 104 of the Teaching Python podcast, Kelly and Sean discuss their wins of the week and announce they are co-chairing the PyCon US Education Summit in April 2023. The episode features a segment on book recommendations, where Kelly and Sean share some of their recent reads that they found particularly useful for Python programmers.
One of the recommended books is "The Missing ReadMe" which is a guide for new engineers to understand and navigate open-source projects. Another book recommended is "Fundamentals of Artificial Intelligence" which is a comprehensive introduction to the field of artificial intelligence and its underlying algorithms and techniques. They also recommend "Accelerate: The Science of Lean Software and DevOps" which is a practical guide with industry data about the benefits of DevOps. "Fluent Python" is another book they recommend which is a guide to writing better and more idiomatic Python code. Finally, they recommend the new edition of "Python Crash Course" by Eric Matthes which is a fast-paced, thorough introduction to Python programming for beginners.
It's a great episode for anyone who is interested in learning more about the Python programming language, and the PyCon Education Summit, as well as reading some great books on the topic. The episode is available on the Teaching Python podcast website, and the links to the books can also be found there.
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