Kelly Paredes has taught all over the world and specializes in curriculum design and development. She got started with integrating technology in the classroom in 2003 and dabbled with app design in File Maker and HTML. She currently teaches seventh grade computer science at Pine Crest School in Fort Lauderdale, Florida. This is her first year using Python.
May 28th, 2019 | 36 mins 15 secs
agriculture, farmfemmes, python
When most of us think of agriculture, we don't think of it as a cutting-edge playground for AI, robotics, and data science development in Python. You may be surprised to learn how the next generation of agriculture professionals embraces innovation to make our food supply more affordable, efficient, and environmentally sustainable.
May 18th, 2019 | 20 mins 17 secs
learning, python, teachers, twitter
In this episode, Sean and Kelly discuss the importance of having a Personal Learning Network or PLN, why we use it, and how to develop one for your computer science teaching with Python.
May 5th, 2019 | 38 mins 35 secs
live, pycon, python
Kelly and Sean reflect on their first ever PyCon in Cleveland, Ohio. Topics include the Education Summit, amazing people we've met, cross-stitch embroidery problem solving using Python, and mini-interviews with attendees.
April 24th, 2019 | 8 mins
Kelly and Sean are headed to their first PyCon next week. In this special mini-episode, they discuss their Top 5 things that they're looking forward to at the conference. Are you going? Want to meet up with us? Send us a tweet!
April 22nd, 2019 | 47 mins 29 secs
abstraction, analytical thinking, python, teaching
Kelly and Sean get motivation from Michael Kennedy’s podcast Beginners and Experts. Where Michaels and the panelists discuss, how do you go about attacking a problem? In this episode, Kelly and Sean digest abstraction and analytical thinking in the school setting and how computational thinking plays a part in all this. They discuss the activities that are used to help promote these skills.
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.
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
March 7th, 2019 | 43 mins 25 secs
education, innovation, teaching
With their school's Innovation Institute coming up, Kelly and Sean explore the topic of innovation in education. How do you cultivate it in yourself and others? What skills help you become more innovative? How do you teach it?
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.
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.
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.
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.
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.