#CSK8 Podcast - A podcast for computer science educators

In this episode I unpack Kumar and Worsley’s (2023) publication titled “Scratch for sports: Athletic drills as a platform for experiencing, understanding, and developing AI-driven apps,” which summarizes explorations of the intersections of computer science and physical education.

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How to Get Started with Computer Science Education

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00:00 Abstract

01:33 My single sentence summary

01:52 Paper introduction

02:33 Related work

03:21 Video Sensing: HomeCourt + Scratch

05:53 Wearables: Smartwatches + Micro:bits

07:35 Ball Sensors: Play Impossible & SIQ + Micro:bits

08:32 Discussion and Future Work

08:53 Lingering questions and thoughts

08:58 How do we incorporate physical computing in an individualized or rhizomatic way?

10:07 When do you use physical computing in your classroom?

12:10 Outro

In this episode I unpack Obermüller, Greifenstein, and Fraser’s (2023) publication titled “Effects of automated feedback in Scratch programming tutorials,” which investigates the impact of two different types of hint generating approaches among two different classes.

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How to Get Started with Computer Science Education

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00:00 Intro

00:44 Abstract

01:54 My single sentence summary

02:02 1 Introduction

02:42 2 Background

03:25 3 Interactive tutorial system for Scratch

03:47 4 Experimental setup

06:14 RQ1: How do next-step hints influence

08:50 RQ2: How do next-step hints influence

11:42 RQ3: How do next-step hints influence help

12:29 RQ4: How do next-step hints influence

13:15 My lingering questions and thoughts

13:22 What kind of projects can students create with such a tool?

16:56 How do you teach students to provide feedback to peers when other forms of feedback are unavailable?

20:18 As teaching, assessment, feedback, etc. becomes more automated, how will this impact teaching and learning?

21:38 Outro

In this episode I talk about political and corporate influences that we need to talk about as a field.

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How to Get Started with Computer Science Education

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00:00 We need to talk about this

01:56 So what does this mean for computer science education?

03:23 Impact on computer science professional development and curricula

05:47 It's not just politicians who are influencing computer science education

06:38 Outro

In this episode I provide some suggestions for setting up your computer lab and talk about their impacts on teaching and learning computer science.

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How to Get Started with Computer Science Education

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00:00 Intro

00:04 Rows

01:46 Stations/pods

03:41 Racetrack

05:36 Donut

07:42 Questions to think through for setting up your room

08:00 Outro

Instead of an episode today I have two quick requests: Check out CSTA’s conference going on this week and consider volunteering with CSTA.

Click here for this episode’s show notes.

How to Get Started with Computer Science Education

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00:00 Intro

00:05 1st request

00:41 2nd request

01:19 Outro

In this episode I unpack Tobias, Campbell, and Greco’s (2015) publication titled “Bringing curriculum to life: Enacting project-based learning in music programs” to explore how computer science educators could incorporate project-based learning in their classroom.

Click here for this episode’s show notes.

How to Get Started with Computer Science Education

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00:00 Intro

00:35 Abstract

01:32 What is project-based learning?

02:21 Vignettes

03:02 The project continuum

06:47 Designing project-based learning

07:12 Worthy topics

12:11 Real-life context

15:22 Questions

16:55 Critical thinking and dispositions

17:55 Scope

21:29 Designing the experience

23:19 Challenges with PBL

25:23 Assessment and evaluation

25:40 Parting thoughts from the authors

26:36 Lingering questions and thoughts

26:44 Where along the project continuum do your projects tend to lie?

28:21 How do projects afford certain types of engagement while constraining others?

29:22 How might project-based learning differ in constructivist versus constructionist pedagogies?

30:51 How comfortable are you with facilitating multiple projects simultaneously?

32:11 Outro

In this episode I talk about how you can use Liz Lerman’s Critical Response Process to encourage feedback and dialogue among students around the projects they create.

Click here for this episode’s show notes.

How to Get Started with Computer Science Education

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00:00 Intro

00:39 The three roles of the Critical Response Process

01:14 The four steps of the Critical Response Process

01:28 Step 1

02:06 Step 2

02:36 Step 3

03:13 Step 4

04:15 Quick summary of the Critical Response Process

04:37 Another approach for feedback and assessment

05:33 Using questions for feedback and assessment

05:55 The importance of modeling feedback

06:41 What questions do you have?

07:14 Please consider sharing

In this episode I provide a framework for how districts and educators can get started with computer science education for free.

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How to Get Started with Computer Science Education

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00:00 Intro

00:22 The problem I hope to address in this episode

03:52 Brief summary of why I'm qualified to address this problem

04:45 Why am I giving this content away for free?

06:18 You can do this

06:56 Step 1: Setting a vision

10:10 Step 2: Develop a plan

14:48 Step 3: Reverse engineer CS education

21:53 Step 4: Teach CS

23:57 Step 5: Reflect, refine, and share

27:01 Thanks for listening and sharing with others!

In this episode I ask Bard and ChatGPT what the future of education looks like and probe these platforms to get a pulse on what computer science education looks like according to responses from large language models.

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How to Get Started with Computer Science Education

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00:00 Intro

00:41 1. What will teaching and learning look like ten years from now?

07:10 - How is that different from today?

09:32 2. What is the role of artificial intelligence in teaching and learning?

17:26 3. Why are teachers leaving the field and what can be done to prevent that?

27:40 How much should a public elementary school computer science educator be paid in Arizona with ten years of experience and a doctorate in education?

29:21 - How much should a private elementary school educator be paid in Arizona with ten years of experience and a doctorate in education?

30:39 5. What are the top five pedagogies for teaching computer science?

33:04 - Elaborate on how each of the pedagogies you listed are beneficial for learning

33:42 - What are the downsides for each of the pedagogies you listed?

35:08 6. How could teachers make computer science classes more equitable?

37:50 7. Why should all students learn computer science?

40:36 - Should someone learn computer science if they are not going to be a professional computer scientist?

43:09 - What prevents students from being interested in computer science?

45:15 8. How can teachers learn how to teach computer science classes if they don't have a background in computer science?

49:13 9. What is computational thinking and why is it being taught in schools?

51:28 - List five examples of computational thinking

52:22 10. Write me a lesson that teaches an elementary student how to create a short Scratch.mit.edu story

57:41 - Write me a lesson that teaches an elementary student how to create a short Scratch.mit.edu story about algorithmic bias

58:53 - Write me a lesson that teaches an elementary student how to create a short Scratch.mit.edu story about algorithmic bias while encouraging students to incorporate their own interests, needs, desires, etc. in the story

01:00:25 11. Based on the kinds of questions I've already asked today, what questions should I ask you next?

01:02:37 My thoughts on this exploration

01:05:12 Outro

In this episode I unpack Olari, Tenório, and Romeike’s (2023) publication titled “Introducing artificial intelligence literacy in schools: A review of competence areas, pedagogical approaches, contexts and formats,” which is a review of literature exploring how researchers from 31 papers investigated AI-related literacies in schools.

Click here for this episode’s show notes.

How to Get Started with Computer Science Education

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00:00 Intro

00:52 Abstract

01:48 My one sentence summary

02:35 Paper introduction

03:09 Artificial intelligence literacy in school education

04:08 Research questions

04:25 Method

05:09 Results: Competence areas

07:08 Results: Pedagogical approaches

10:46 Results: Contexts and formats

12:45 Discussion

16:12 Lingering questions and thoughts

16:16 When teaching AI, what balance do you strive for between learning about AI and using AI as a tool for learning/creating?

17:09 AI in education is an under explored area of potential professional development for educators

18:14 Outro