Sean is a dad, coder, teacher, geek, marketer, salmon enthusiast, Star Wars fan, and 3D-printing nut living in Florida. Prior to teaching, he has worked in IT and marketing for Procter & Gamble, Kaplan University (now Purdue University Global), and Diagnostic Centers of America. Sean is the founder of Red Reef Digital, a digital marketing consulting firm and is a certified HubSpot partner. He has a bachelor's and master's degree in information systems from Carnegie Mellon University in Pittsburgh, PA.
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.
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.
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.
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.
December 31st, 2018 | 28 mins 55 secs
education, python, resilience
Co-hosts Kelly and Sean discuss their top eight methods for building resilience in students. Whether you call it grit, perseverance, persistence, determination, or something else, it's important to help students get through the hard and often frustrating moments of learning a new language so that they can become self-sufficient.
December 24th, 2018 | 31 mins 13 secs
books, programming, python
In this episode, Sean and Kelly go through their top books for teachers to learn about Python and teach students. With everything from coding your own games in Python, to automating the boring stuff, there's something for every teacher here.
December 17th, 2018 | 34 mins 14 secs
education, flow, metacognition, python
Kelly and Sean discuss the importance of the 'click' when learning Python and identify strategies for encouraging a state of flow in classrooms. What is the click moment? How do you know when flow is achieved?
December 10th, 2018 | 29 mins 54 secs
getting started, mu editor, newbies, python
What does the first week of Python look like for new coders? Where do you start? Is it better to jump right in or give them a softer start? We'll talk about everything from what exercises work best, how to get new Python coders started with an IDE like Mu Editor, and more.
December 5th, 2018 | 30 mins 48 secs
education, getting started, python, tynker
Our very first episode! Kelly and Sean talk about how to get started teaching Python, including how to set up a room for computer science, what books and podcasts were most useful, the joys of Tynker, and how to set your own expectations for how to teach Python for others.