Teaching Python

Episode 16: When Philosophy and Python COLLIDE! Part 2

April 2nd, 2019  |  44 mins 31 secs

deep learning, machine learning, philosophy, python

Sean and Kelly continue their conversation about the philosophy and ethics of machine learning and artificial intelligence in Python. This episode focuses more on resources and tools for AI learning after last episode's focus on philosophy and ethics.

Episode 15: When Philosophy and Python COLLIDE! - Part 1

March 20th, 2019  |  40 mins 28 secs

ai, deep learning, machine learning, philosophy, python

After a two day workshop on AI and Deep Learning, Kelly and Sean get philosophical about Python. From deep fakes to logical proofs to future non-driving generations that rely on self-driving cars, they'll explore the close relationship between computer science, ethics, and philosophy

Episode 13: Block-based Python with Josh Lowe

March 1st, 2019  |  35 mins 28 secs

edublocks, python, teaching

In this episode, Kelly and Sean talk to Joshua Lowe, a Python entrepreneur who invented Edublocks to help bridge the gap from Scratch to Edublocks and then into Python 3. Joshua started learning Python in 2013 and wanted to find a way to make Python easier for others to understand.

Episode 12: Intercontinental Python with Bob and Julian from PyBites

February 21st, 2019  |  44 mins 45 secs

code challenges, guests, pybites, python

In this episode, Kelly and Sean meet Bob and Julian from PyBit.es to discuss strategies, and how to seek advice and motivation when learning Python.

Episode 11: Signs of True Learning

February 14th, 2019  |  30 mins 33 secs

learning, pedagogy, python

How do you know your students are really learning in Computer Science? In this episode, Sean and Kelly dig into developing the learner-centered classroom and some of the pedagogical philosophy of how to look for learning in your teaching.

Episode 10: Teaching with Python Turtle

February 3rd, 2019  |  37 mins 41 secs

loops, python, turtle

This week, we're discussing how to use a very old programming tool to teach modern concepts. That's right, it's the return of the Turtle tool! Kelly and Sean will explore why this 53-year old concept still works so well to teach fundamental programming concepts.

Episode 9: Python For Future Engineers

January 29th, 2019  |  1 hr 1 min

adult learners, college, guests, python

This week, we're joined by Peter Kazarinoff, Professor of Engineering and Engineering Technology at Portland Community College to discuss how adult learners can learn Python, the use of Jupyter notebooks as teaching tools, and some of the common goals of learners of diverse ages, backgrounds, and education levels.

Episode 8: Persistence in Python

January 21st, 2019  |  37 mins 12 secs

pedagogy, persistence, python, teaching

Persistence is defined as the ability to stick with something. In the educational world, it is often used interchangeably with the phrases: Sticktoitiveness, grit, or perseverance.

In this episode, we will discuss how to develop persistence in programming for all learners. Whether your students already have an innate ability to stick with coding or if you are hoping to instill the “desire” in your students, Sean and Kelly will examine ways that they develop persistence in programming in their classrooms.

Episode 7: Teaching with the BBC micro:bit

January 14th, 2019  |  42 mins 57 secs

microbit, python, teaching

In this week's episode, Kelly and Sean discuss one of the tools that we like to use in class: the BBC micro:bit. Thanks to the instant feedback and physical/tactile nature of the device, this inexpensive little IoT device makes the process of learning Python more intuitive for students. It's also an easy starting point for those teachers who are new to coding.

Episode 6: Gaining a Deeper Understanding of Python With Coding Challenges

January 9th, 2019  |  37 mins 1 sec

coding, makecode, python

Kelly and Sean are back in this week's episode to talk about the role of coding challenges for student understanding. Coding challenges are teacher-defined coding problems that students tackle individually or in groups with more than one possible solution. The advantages of these challenges compared to passive learning include deeper retention of skills and knowledge, opportunities for social and emotional education, and increased student confidence through subject mastery.