Episodio 157

Episode # 157 Philip Guo: The Code Runs. But Do You Understand It?

Kelly talks with Philip Guo, creator of Python Tutor, about how the tool helps students trace code and understand programming basics. They also discuss the challenges AI-generated code creates in the classroom and possible ways to support student learning. *Wins of the Week * Philip: Hiring a second undergraduate student for Python Tutor, including one focused on user experience research with K-12 teachers Kelly: Finishing a year of in-person teacher trainings and reflecting on how far the teachers have come *AI, Coding, and Classroom Understanding * Much of the conversation focuses on how AI-generated code affects student learning. Kelly describes using AI code with eighth graders and how difficult it can be for them to understand functions, parameters, returns, and other fundamentals when the code is generated all at once. Philip suggests that tools like Python Tutor may be useful for helping students trace code and understand what is happening behind the scenes. Python Tutor and Possible AI Features Philip explains that Python Tutor currently visualizes execution and has an AI chat feature that can answer questions about code and errors. They discuss possible future features, including simplified AI-generated examples, alternative execution views that show only the lines actually run, and more guided inline help tied to specific code or variables. Oral Explanations and Assessment Kelly describes using a Socratic-style code review with students, where they discuss code aloud in groups. They also talk about using spoken explanations or short oral assessments to check whether students can really explain what code is doing, rather than just copying or prompting AI-generated answers. Broader Research and “Beyond the Desk” Philip briefly discusses a new research direction with a PhD student focused on AI support for work beyond the desk, including physical and embodied tasks in science labs and fieldwork. He says this differs from desk-based AI work and involves activities that are harder for current AI systems to support. **Chapters **0:25 Python Tutor and AI Learning 1:55 Hiring Help for Python Tutor 4:07 Classroom Wins and AI Reflections 6:11 Teaching Code Through Python Tutor 9:03 AI Code and Student Confusion 14:11 Simplifying Execution Traces 17:19 Functions Are the Hard Part 20:25 Keeping Fundamentals in AI Era 24:25 Socratic Seminars for Code 26:27 Voice-Based Code Thinking 29:27 Learning Beyond Lockdown 36:10 Prompting as a New Skill 36:25 Hardware Troubles and NeoPixels 40:15 Beyond the Code Editor 45:01 New Research on Embodied AI 49:12 PyCon and Community Plans 50:42 Teacher Call to Action Special Guest: Philip Guo.

54 min

23 may

When Code Leaves the Screen

In this episode of Teaching Python, Kelly Schuster-Paredes and Julian Sequeira are joined by engineer and maker Todd Kurt to discuss what happens when code leaves the screen and starts interacting with the physical world. The conversation centers on CircuitPython, MicroPython, and physical computing, with a focus on how these tools are used in classrooms and maker projects. Todd explains his background in engineering, web development, and open source hardware, including his work on LED devices and his recent focus on CircuitPython. He describes the differences between CircuitPython and MicroPython, emphasizing that CircuitPython is designed to feel closer to desktop Python and to support teaching, while MicroPython makes more efficiency-focused tradeoffs. The discussion also covers the practical challenges of hardware-based learning. Todd and the hosts talk about bootloaders, UF2 files, board compatibility, library management, and common mistakes such as using the wrong cable, the wrong board file, or wiring power and ground incorrectly. They note that these issues can make hardware feel frustrating, especially for beginners and teachers preparing classroom kits. Kelly and Julian share their classroom experiences, including using preloaded boards, NeoPixels, sensors, and simple student-designed projects. They discuss how hardware can support troubleshooting skills, file-system awareness, and persistence, and why students often engage more when they are building something tangible, such as a sensor-based wearable or a small robot. The episode also includes Todd’s stories about early embedded work, including a costly lab mistake, and his involvement in hardware that contributed to space missions. He closes by describing a compact synthesizer project built around a Raspberry Pi Pico and by noting that he shares work through his website and online accounts. Special Guest: Tod Kurt.

56 min

6 abr

Hello World is Dead

In this episode, Sean, Kelly, and Julian tackle a provocative question: is the traditional "Hello, World" first program dead? What was once a thrilling moment of agency — telling a computer to do something and watching it respond — now competes with AI assistants, voice interfaces, and tools that can build entire applications from a single prompt. The conversation dives into the different types of learners Kelly encounters in her classroom: the students who want AI to do everything, the ones who light up when they catch AI writing unused functions, and the old-school coders who just want to write it themselves. Sean shares how he turned a massive org design challenge at work into a Python project with a SQLite database, proving that the best way to learn is still to find a real problem and solve it with code. Kelly describes her fourth-quarter experiment to create a new "Hello, World" moment for her 8th graders using school-approved AI tools, while Julian raises the important question of whether the real challenge is just showing people that code can solve their problems in the first place. The trio also explores whether AI can strip away the administrative clutter in teaching to let educators focus on what matters: engagement, personalization, and good pedagogy. The episode wraps with two pieces of news: the PyCon US Education Summit is confirmed for Thursday, May 14th, and Julian Sequeira is officially joining the show as a regular co-host — complete with a live, slightly fumbled first sign-off. Key Topics Why "Hello, World" no longer delivers the same dopamine hit for new learners The three types of student responses to AI-assisted coding Using AI to write deterministic code vs. using generative AI for repetitive tasks Sean's Python + SQLite org design tool as a real-world "solve a problem with code" example Kelly's classroom experiments with AI-generated Python apps for 8th graders EarSketch and making music with Python as a reliable engagement tool Whether AI can remove administrative clutter and let teachers focus on pedagogy The concept of "desirable difficulty" in learning Bridging the knowledge gap: helping non-coders see code as a problem-solving option PyCon US Education Summit — May 14, 2026 Julian Sequeira joining as a regular co-host Wins of the Week Kelly: Bringing two Pine Crest colleagues to PyCon US this year — Chris and Kayla, an aspiring data scientist who is excited to dive into Python and attend the Education Summit. Julian: His 10-year-old son scored his first basketball basket after multiple seasons of showing up, practicing, and persisting — a nothing-but-net shot that had the entire gym erupting. Sean: Used Claude to create a comprehensive, interactive study guide from his daughter's 11-page science PDF on water quality — complete with clickable concept maps, pH level visualizations, and chain-of-events diagrams that made 7th-grade science genuinely engaging. Announcements PyCon US Education Summit — Thursday, May 14, 2026 in Pittsburgh. Kelly is chairing the summit with 150–200 seats available. Proposals are open and encouraged. Julian Sequeira joins Teaching Python — After almost 8 years as a duo, Sean and Kelly have invited Julian to be a regular co-host, bringing fresh perspective, energy, and an Australian accent to the show. Resources & Links Teaching Python — Podcast website PyBites — Julian Sequeira's Python coaching platform EarSketch — Making music with Python (Georgia Tech) PyCon US 2026 — May 14–22, 2026 in Pittsburgh, PA Claude Code — AI coding assistant mentioned by Kelly

48 min

3 mar

Are You Techie Enough?

What does it really mean to be "techie"? Sean, Kelly, and guest Amelia Hough-Ross dig into the labels we put on ourselves and others — and why curiosity and persistence matter more than credentials. From imposter syndrome to productive struggle, this episode redefines what it means to be technical in a rapidly changing world. Show Notes Wins of the Week Amelia: Getting both kids to all their activities this week — taekwondo, Chinese language classes, and a piano competition where her oldest did very well Kelly: Running a series of well-attended trainings at school, including a Canva AI session that drew 60 attendees across two campuses, with new audiences (kindergarten and first grade teachers) showing up for the first time Sean: Finally getting fiber internet installed at his house after over a decade of waiting — a major upgrade from cable with latency dropping from 20-30ms to 3ms, at half the cost Links & Resources Mentioned vBrownBag — Tech community show that Amelia is preparing to present at and Sean is scheduled for later in the year PyCon US 2025 — Pittsburgh, May 2025; Education Summit on Thursday, May 14 LEGO Mindstorms — Referenced in Amelia's story about building a vending machine in 4th grade Architects of Intelligence — Book Kelly is currently reading (dense but informative, structured as short stories/interviews) How to Winter by Kari Leibowitz — Book Amelia is reading about mindset and how people approach difficult things Lars von Trier / Bjork / Catherine Deneuve film — Referenced in Amelia's story about visiting a film set in Denmark at age 18 (the film Dancer in the Dark, 2000) Chris Williams / vBrownBag — Mutual connection who introduced Sean and Amelia at AWS re:Invent Announcements PyCon US 2025 — Pittsburgh, PA. Education Summit is Thursday, May 14. Proposals still open at time of recording. Kelly will be attending PyCon with her youngest son, who will spend the weekend with family at Disneyland Sean will be supporting from home this year as his wife has a conflicting travel commitment Key Quotes "It's hard to think outside of the box when you don't know what's inside of the box." — Kelly, quoting a conference in Tampa "The difference between viewing yourself as technical and not technical is getting those successes... even just once, where something really cool happens that you weren't expecting to work." — Sean "It's much harder to believe that someone has that greatness in them and help them achieve it... It's easy to say someone's hopeless. The harder part is figuring out how to support them to get to that next level." — Amelia Special Guest: Amelia Hough-Ross.

50 min

14/12/2025

2025 Holiday Gift Guide

Julian Sequeira from PyBites joins Sean and Kelly to share their top holiday gift picks for coders, makers, and educators. This episode features 15+ gift ideas ranging from budget-friendly maker tools to classroom robots—plus book recommendations, coding platforms, and a few surprises. Show Notes Wins of the Week Julian: Staying focused on "the one thing" at PyBites, plus 3D printing a custom cappuccino stencil for his local café Kelly: Surviving a muddy, clay-covered hill in North Carolina while on vacation Sean: Designing and 3D printing a custom bracket for his screen door using Fusion 360 Holiday Gift Ideas Julian's Picks Hoverboard with Go-Kart Attachment (~$299 AUD) - Two-wheeled self-balancing boards that can convert to a go-kart with a third wheel attachment. Available at Hoveroo in Australia. Secret Coders Book Series (~$10-20 USD each) - A six-book graphic novel series that wraps coding puzzles and concepts into mystery stories. Recommended by Faye Shaw from the Boston PyLadies community. Great for ages 8-15. 3D Printer (~$200-300 USD) - Entry-level printers like the Bambu Lab A1 Mini or Elegoo Neptune 4 Pro have dropped significantly in price. Look for auto bed leveling as a key feature. Duolingo Chess (~$13/month with subscription) - A new addition to Duolingo that teaches chess tactics, strategy, and formal terminology through structured lessons. Great for building problem-solving skills. Classic Video Games (Zelda, Pokémon) - Story-driven games that build resilience and problem-solving skills, as an alternative to dopamine-heavy platforms like Roblox. Kelly's Picks Soccer Bot (~$59.99) - An indoor soccer training robot that challenges footwork skills. Works best on hard floors. "The Worlds I See" by Dr. Fei-Fei Li - Memoir of the computer scientist behind ImageNet and modern image recognition, covering her immigrant journey and rise in AI. A must-read for anyone interested in AI. LEGO Retro Radio Building Set (~$99) - A 1970s-style radio that you build, then insert your phone to play music. Features working dials that create authentic radio crackle sounds. Spydroid Loco Hex Robot (classroom investment) - A large spider-shaped robot that codes in Python and block programming. Features LIDAR and AI-based mapping. Seen at ISTE. Richtie Mini from Hugging Face ($299-$449) - An adorable AI desktop companion robot with onboard models. Two versions: one that connects to your computer and one that's self-contained. Sean's Picks LED Pucks (LED 001 Kit) (~$6-13) - Small USB-powered LED discs perfect for 3D printed projects like planet lamps. Available from Bambu Labs or Amazon. RGB versions include remote controls. Daily Desk Calendar (~$15-20) - A throwback gift that provides daily doses of humor, trivia, or inspiration. Suggestions include The Far Side, "They Can Talk," or "How to Win Friends and Influence People." PyBites Coding Platform (subscription) - Bite-sized Python challenges for sharpening coding skills. Great for teachers, students, and professionals looking for practical coding practice. Digital Calipers (~$40-50) - USB-rechargeable precision measuring tools essential for 3D printing and maker projects. Great for teaching geometry and measurement concepts. Deburring Tool (~$10) - A small tool with a curved swiveling blade for cleaning up 3D prints. A quality-of-life improvement for any maker's toolkit. Links Mentioned PyBites - Python coaching and coding challenges Hoveroo - Hoverboards (Australia) Bambu Lab - 3D printers and LED pucks Printables - 3D printing models MakerWorld - 3D printing models Hugging Face Richtie Mini - AI companion robot Duolingo - Language learning app with chess Secret Coders book series - Available on Amazon "The Worlds I See" by Dr. Fei-Fei Li - Available at bookstores Upcoming Events PyCon US 2026 - Long Beach, California Education Summit - Proposals open after the holidays, deadline around March/April Submit proposals when the website opens! Special Guest: Julian Sequeira.

40 min

26/11/2025

High School CS with Quincy Tennyson

In this episode, we sit down with Quincy Tennyson, who teaches an impressive four-year computer science pathway at Fern Creek High School. Quincy's background in the Marine Corps and as a network engineer brings a unique perspective to CS education. He discusses his curriculum progression from introductory courses through AP Computer Science Principles (heavily inspired by UC Berkeley's CS61A), AP Computer Science A (Java), and a culminating Project-Based Programming course. We dive deep into his philosophy of being a "warm demander" - setting high expectations while providing intensive coaching and support. The conversation touches on several compelling topics including teaching agile methodology to high school students, the importance of transparency about failure, and how behavioral economics concepts (from thinkers like Daniel Kahneman) inform his approach to helping students understand their own thinking processes. Quincy also shares insights on supporting underserved students, running a successful Girls Who Code chapter, and navigating the integration of AI tools in the classroom. His students' enthusiasm at PyCon 2024 was infectious, and this episode reveals the thoughtful pedagogy behind their success. Key resources mentioned include CS61A from UC Berkeley, CodeHS, Code.org, Sandra McGuire's book "Teach Students How to Learn," Eric Matthes' Python Crash Course, and Al Sweigart's educational resources including his new Buttonpad library for Tkinter. Special Guest: Quincy Tennyson.

54 min

29/09/2025

AI in Practice: Learning from Law & Beyond with Pritesh Patel

In this episode, Sean and Kelly welcome Pritesh Patel, a computer scientist specializing in AI who brings over 20 years of experience from companies like Turner Broadcasting, Walmart, and GE to his current role at Fisher Phillips law firm. Pritesh shares fascinating insights about implementing AI in knowledge-based industries, from automating his parents' frozen yogurt shop to helping lawyers transform their workflows. The conversation explores crucial concepts like the "Jobs to Be Done" framework, which emphasizes focusing on outcomes rather than getting stuck in existing processes. Pritesh explains how he approaches AI education through playfulness and intuition-building—whether that's getting Batman to sing "Twinkle, Twinkle Little Star" in ChatGPT or creating AI personalities that debate humans. The discussion touches on the importance of maintaining accountability while delegating responsibility to AI tools, the power of curiosity in adoption, and how reinforcement learning might shape the future of AI integration. Key resources mentioned: Strategyn Jobs to Be Done Framework - Tony Ulwick's innovation methodology NotebookLM - Google's AI-powered research tool Suno.ai - AI music generation platform OpenAI's Real-time API for voice interactions Special Guest: Pritesh Patel.

55 min

28/08/2025

LLMs with Simon WIllison

In this milestone 150th episode, hosts Kelly Schuster-Paredes and Sean Tibor sit down with Simon Willison, co-creator of Django and creator of Datasette and LLM tools, for an in-depth conversation about artificial intelligence in Python education. The discussion covers the current landscape of LLMs in coding education, from the benefits of faster iteration cycles to the risks of students losing that crucial "aha moment" when they solve problems independently. Simon shares insights on prompt injection vulnerabilities, the importance of local models for privacy, and why he believes LLMs are much harder to use effectively than most people realize. Key topics include: Educational Strategy: When to introduce AI tools vs. building foundational skills first Security Concerns: Prompt injection attacks and their implications for educational tools Student Engagement: Maintaining motivation and problem-solving skills in an AI world Practical Applications: Using LLMs for code review, debugging, and rapid prototyping Privacy Issues: Understanding data collection and training practices of major AI companies Local Models: Running AI tools privately on personal devices The "Jagged Frontier": Why LLMs excel at some tasks while failing at others Simon brings 20 years of Django experience and deep expertise in both web development and AI tooling to discuss how educators can thoughtfully integrate these powerful but unpredictable tools into their classrooms. The conversation balances excitement about AI's potential with realistic assessments of its limitations and risks. Whether you're a coding educator trying to navigate the AI revolution or a developer interested in the intersection of education and technology, this episode provides practical insights for working with LLMs responsibly and effectively. Resources mentioned: Simon's blog: simonwillison.net Mission Encodable curriculum Datasette and LLM tools GitHub Codespaces for safe AI experimentation Special Guest: Simon Willison.

1 h 36 min

Teaching Python

Episode # 157 Philip Guo: The Code Runs. But Do You Understand It?

When Code Leaves the Screen

Hello World is Dead

Are You Techie Enough?

2025 Holiday Gift Guide

High School CS with Quincy Tennyson

AI in Practice: Learning from Law & Beyond with Pritesh Patel

LLMs with Simon WIllison

Tráiler

Episode # 157 Philip Guo: The Code Runs. But Do You Understand It?

Acerca de

Información

También te podría interesar

Teaching Python

Episodios

Episode # 157 Philip Guo: The Code Runs. But Do You Understand It?

When Code Leaves the Screen

Hello World is Dead

Are You Techie Enough?

2025 Holiday Gift Guide

High School CS with Quincy Tennyson

AI in Practice: Learning from Law & Beyond with Pritesh Patel

LLMs with Simon WIllison

Tráiler

Acerca de

Información

También te podría interesar