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    <title>Teaching Python - Episodes Tagged with “Inclusiveness”</title>
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    <pubDate>Thu, 08 Oct 2020 00:00:00 -0400</pubDate>
    <description>Teaching Python is a podcast about Python programming, computer science education, AI literacy, software development, cloud computing, cybersecurity, data, and how people learn technical skills. Hosted by Kelly Schuster-Paredes, Sean Tibor, and Julian Sequeira, the show is for educators, developers, technology leaders, and lifelong learners who want to better understand how Python connects to the wider world of computing. Episodes explore not only how people learn to code, but also how they build technical judgment, understand systems, evaluate AI-generated code, work with data, think about security, and move from beginner programming into real-world software development. About the Hosts Kelly Schuster-Paredes is a teacher who codes whose work has expanded from classroom computer science into AI strategy, curriculum design, professional learning, educational technology, and responsible technology adoption. Her background in Python and computer science education shapes her focus on learning, AI literacy, computational thinking, and what people need to understand in an AI-shaped world. Sean Tibor is Vice President of Infrastructure and Cloud at Pfizer and a former computer science teacher. He brings expertise in cloud computing, infrastructure, engineering operations, and technical leadership, connecting what people learn about computing with how large-scale systems are actually built, operated, secured, and maintained. Julian Sequiera is a technologist, Fractional CTO, and Senior Program Manager with more than 20 years of experience in infrastructure, cloud, engineering operations, and large-scale technology programs. He is also the co-founder of PyBites, a Python learning platform and community that has helped thousands of developers improve their Python and software development skills. What We Cover Python Programming and Computer Science Education: Learning Python, teaching programming, computational thinking, debugging, code literacy, and helping beginners build strong mental models. AI and AI Literacy: AI-assisted programming, evaluating AI-generated code, responsible AI use, human judgment, and what learners still need to understand when AI can produce code. Cloud, Infrastructure, and Cybersecurity: Systems, networks, deployment, security, reliability, architecture, and the operational side of software. Data and Software Engineering: APIs, databases, testing, maintainability, version control, software design, and moving from simple scripts to real-world applications. Learning and Technical Growth: How people learn difficult technical concepts, get unstuck, build confidence, and develop the judgment needed to use technology well. Expert Interviews: Conversations with educators, developers, engineers, researchers, technology leaders, and others shaping the future of computing and technical education. Teaching Python remains grounded in Python, but the conversation extends beyond syntax. The podcast explores the knowledge, skills, systems, and judgment people need to learn, build, and make responsible decisions with technology.</description>
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    <itunes:subtitle>We're two computer science educators learning and teaching Python</itunes:subtitle>
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    <itunes:summary>Teaching Python is a podcast about Python programming, computer science education, AI literacy, software development, cloud computing, cybersecurity, data, and how people learn technical skills. Hosted by Kelly Schuster-Paredes, Sean Tibor, and Julian Sequeira, the show is for educators, developers, technology leaders, and lifelong learners who want to better understand how Python connects to the wider world of computing. Episodes explore not only how people learn to code, but also how they build technical judgment, understand systems, evaluate AI-generated code, work with data, think about security, and move from beginner programming into real-world software development. About the Hosts Kelly Schuster-Paredes is a teacher who codes whose work has expanded from classroom computer science into AI strategy, curriculum design, professional learning, educational technology, and responsible technology adoption. Her background in Python and computer science education shapes her focus on learning, AI literacy, computational thinking, and what people need to understand in an AI-shaped world. Sean Tibor is Vice President of Infrastructure and Cloud at Pfizer and a former computer science teacher. He brings expertise in cloud computing, infrastructure, engineering operations, and technical leadership, connecting what people learn about computing with how large-scale systems are actually built, operated, secured, and maintained. Julian Sequiera is a technologist, Fractional CTO, and Senior Program Manager with more than 20 years of experience in infrastructure, cloud, engineering operations, and large-scale technology programs. He is also the co-founder of PyBites, a Python learning platform and community that has helped thousands of developers improve their Python and software development skills. What We Cover Python Programming and Computer Science Education: Learning Python, teaching programming, computational thinking, debugging, code literacy, and helping beginners build strong mental models. AI and AI Literacy: AI-assisted programming, evaluating AI-generated code, responsible AI use, human judgment, and what learners still need to understand when AI can produce code. Cloud, Infrastructure, and Cybersecurity: Systems, networks, deployment, security, reliability, architecture, and the operational side of software. Data and Software Engineering: APIs, databases, testing, maintainability, version control, software design, and moving from simple scripts to real-world applications. Learning and Technical Growth: How people learn difficult technical concepts, get unstuck, build confidence, and develop the judgment needed to use technology well. Expert Interviews: Conversations with educators, developers, engineers, researchers, technology leaders, and others shaping the future of computing and technical education. Teaching Python remains grounded in Python, but the conversation extends beyond syntax. The podcast explores the knowledge, skills, systems, and judgment people need to learn, build, and make responsible decisions with technology.</itunes:summary>
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    <itunes:keywords>Python, Python programming, learn Python, teaching Python, computer science education, coding education, programming for beginners, Python for beginners, computational thinking, code literacy, debugging, software development, software engineering, data science, artificial intelligence, AI literacy, AI-assisted coding, generative AI, machine learning, cybersecurity, cloud computing, cloud infrastructure, APIs, databases, systems thinking, technical education, STEM education, educational technology, edtech, curriculum design, instructional design, professional learning, teacher professional development, coding for students, computer science curriculum, physical computing, robotics, responsible AI, digital literacy, data literacy, technology leadership, developer education, technical coaching, lifelong learning, learning to code, teaching programming, real-world programming, coding with AI, Python podcast, computer science podcast, technology education podcast, programming podcast</itunes:keywords>
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  <title>Episode 51: Engaging Your Students With The Right Language Featuring @jolson_codes</title>
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  <pubDate>Thu, 08 Oct 2020 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>51</itunes:episode>
  <itunes:title>Engaging Your Students With The Right Language Featuring @jolson_codes</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Sean and Kelly invite Jeff Olson (@jolson_codes) to the show. Let’s take a look at language in the Computer Science classroom and focus on how we can put our students first by engaging them in the “right language for their learning.”  </itunes:subtitle>
  <itunes:duration>1:02:04</itunes:duration>
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  <description>&lt;p&gt;Sean and Kelly invite Jeff Olson (@jolson_codes) to the show. Let’s take a look at language in the Computer Science classroom and focus on how we can put our students first by engaging them in the “right language for their learning.”  &lt;/p&gt;&lt;p&gt;Special Guest: Jeff Olson.&lt;/p&gt;</description>
  <itunes:keywords>python, teaching, coding,equity, education,inclusiveness,diversity</itunes:keywords>
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    <![CDATA[<p>Sean and Kelly invite Jeff Olson (@jolson_codes) to the show. Let’s take a look at language in the Computer Science classroom and focus on how we can put our students first by engaging them in the “right language for their learning.”  </p><p>Special Guest: Jeff Olson.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Model inclusive language - Eberly Center - Carnegie Mellon University" rel="nofollow" href="https://www.cmu.edu/teaching/designteach/teach/classroomclimate/strategies/inclusivelanguage.html">Model inclusive language - Eberly Center - Carnegie Mellon University
</a> &mdash; As instructors, you can have a great impact on the classroom climate through the very language you use. Yet it can be hard to recognize in one’s own speech that some of the most basic idioms and examples are often not inclusive, for they are actually very specific to one group in society (e.g. men/women, Christians, whites, heterosexuals, etc.). This tendency can inadvertently marginalize minority groups. For instance, research has shown that using gender-exclusive language (e.g., using he to indicate he or she) in professional settings affects women’s sense of belonging and lowers motivation (Stout and Dasgupta, 2011; Sczesny, Formanowicz, &amp; Moser, 2016).
</li><li><a title="The Trouble with Real-ish Problems" rel="nofollow" href="https://feltonkoestler.wixsite.com/realworldmath/post/2018/03/04/the-trouble-with-real-ish-problems">The Trouble with Real-ish Problems
</a> &mdash; We've all seen math problems like this. Problems where the context or numbers are ridiculous. And what might we say to a kid in this situation? "Don't worry about that, just do the math."
</li><li><a title="What Are You Talking About?! The Need for Common Language around Personalized Learning | EDUCAUSE" rel="nofollow" href="https://er.educause.edu/articles/2016/3/what-are-you-talking-about-the-need-for-common-language-around-personalized-learning">What Are You Talking About?! The Need for Common Language around Personalized Learning | EDUCAUSE
</a> &mdash; As a former language teacher, I love examples of translations that didn't turn out quite as they were intended. There's the famous example when the U.S. auto-maker Chevrolet marketed the Nova in Latin America: no va in Spanish means "doesn't go". Airports seem to be a great place to find language problems, such as the sign helping people find the restrooms. My point is that language matters.
</li><li><a title="Students Don’t Need Simple Examples | by Jeff Olson | upperlinecode" rel="nofollow" href="https://blog.upperlinecode.com/students-dont-need-simple-examples-424bb1ceb820">Students Don’t Need Simple Examples | by Jeff Olson | upperlinecode
</a> &mdash; In my post about coding for predictions, I wrote a sentence that got edited out of the final draft, but that’s played on repeat in my head ever since.

Students don’t need simple examples. They need clear ones.

I’m realizing that this catchy little antithesis is essentially my whole teaching philosophy rolled up into one line.
</li><li><a title="Education Summit 2020 - YouTube" rel="nofollow" href="https://youtu.be/3T5QYIsthn0?t=4656">Education Summit 2020 - YouTube
</a> &mdash; The Summit is a gathering of teachers and educators focused on bringing coding literacy, through Python, to as broad a group of audiences as possible.

-Jeffrey L. Olson Jr, Foo and “Bar” Must Die - Teach Less and Do More with Context, Predictions, and Playtime
</li><li><a title="Humble Book Bundle: Learn to Code the Fun Way by No Starch Press (pay what you want and help charity)" rel="nofollow" href="https://www.humblebundle.com/books/learn-to-code-the-fun-way-no-starch-press-books?hmb_source=humble_home&amp;hmb_medium=product_tile&amp;hmb_campaign=mosaic_section_2_layout_index_5_layout_type_threes_tile_index_1_c_codingbookshelfnostarchpress_bookbundle">Humble Book Bundle: Learn to Code the Fun Way by No Starch Press (pay what you want and help charity)
</a> &mdash; Sean's Win of the Week is the If Hemingway Wrote Javascript from the current Humble Bundle.

We've teamed up with No Starch Press for our newest bundle! Get ebooks like Learn You a Haskell for Great Good!, Practical SQL, and Eloquent JavaScript 3rd Edition. Plus, your purchase will support UNCF and No Starch Press Foundation!
</li><li><a title="Amazon.com: If Hemingway Wrote JavaScript eBook: Croll, Angus: Kindle Store" rel="nofollow" href="https://www.amazon.com/dp/B00R8H2EP2/ref=nosim?tag=teachingpython-20">Amazon.com: If Hemingway Wrote JavaScript eBook: Croll, Angus: Kindle Store
</a> &mdash; What if William Shakespeare were asked to generate the Fibonacci series or Jane Austen had to write a factorial program? In If Hemingway Wrote JavaScript, author Angus Croll imagines short JavaScript programs as written by famous wordsmiths. The result is a peculiar and charming combination of prose, poetry, and programming.
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Sean and Kelly invite Jeff Olson (@jolson_codes) to the show. Let’s take a look at language in the Computer Science classroom and focus on how we can put our students first by engaging them in the “right language for their learning.”  </p><p>Special Guest: Jeff Olson.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Model inclusive language - Eberly Center - Carnegie Mellon University" rel="nofollow" href="https://www.cmu.edu/teaching/designteach/teach/classroomclimate/strategies/inclusivelanguage.html">Model inclusive language - Eberly Center - Carnegie Mellon University
</a> &mdash; As instructors, you can have a great impact on the classroom climate through the very language you use. Yet it can be hard to recognize in one’s own speech that some of the most basic idioms and examples are often not inclusive, for they are actually very specific to one group in society (e.g. men/women, Christians, whites, heterosexuals, etc.). This tendency can inadvertently marginalize minority groups. For instance, research has shown that using gender-exclusive language (e.g., using he to indicate he or she) in professional settings affects women’s sense of belonging and lowers motivation (Stout and Dasgupta, 2011; Sczesny, Formanowicz, &amp; Moser, 2016).
</li><li><a title="The Trouble with Real-ish Problems" rel="nofollow" href="https://feltonkoestler.wixsite.com/realworldmath/post/2018/03/04/the-trouble-with-real-ish-problems">The Trouble with Real-ish Problems
</a> &mdash; We've all seen math problems like this. Problems where the context or numbers are ridiculous. And what might we say to a kid in this situation? "Don't worry about that, just do the math."
</li><li><a title="What Are You Talking About?! The Need for Common Language around Personalized Learning | EDUCAUSE" rel="nofollow" href="https://er.educause.edu/articles/2016/3/what-are-you-talking-about-the-need-for-common-language-around-personalized-learning">What Are You Talking About?! The Need for Common Language around Personalized Learning | EDUCAUSE
</a> &mdash; As a former language teacher, I love examples of translations that didn't turn out quite as they were intended. There's the famous example when the U.S. auto-maker Chevrolet marketed the Nova in Latin America: no va in Spanish means "doesn't go". Airports seem to be a great place to find language problems, such as the sign helping people find the restrooms. My point is that language matters.
</li><li><a title="Students Don’t Need Simple Examples | by Jeff Olson | upperlinecode" rel="nofollow" href="https://blog.upperlinecode.com/students-dont-need-simple-examples-424bb1ceb820">Students Don’t Need Simple Examples | by Jeff Olson | upperlinecode
</a> &mdash; In my post about coding for predictions, I wrote a sentence that got edited out of the final draft, but that’s played on repeat in my head ever since.

Students don’t need simple examples. They need clear ones.

I’m realizing that this catchy little antithesis is essentially my whole teaching philosophy rolled up into one line.
</li><li><a title="Education Summit 2020 - YouTube" rel="nofollow" href="https://youtu.be/3T5QYIsthn0?t=4656">Education Summit 2020 - YouTube
</a> &mdash; The Summit is a gathering of teachers and educators focused on bringing coding literacy, through Python, to as broad a group of audiences as possible.

-Jeffrey L. Olson Jr, Foo and “Bar” Must Die - Teach Less and Do More with Context, Predictions, and Playtime
</li><li><a title="Humble Book Bundle: Learn to Code the Fun Way by No Starch Press (pay what you want and help charity)" rel="nofollow" href="https://www.humblebundle.com/books/learn-to-code-the-fun-way-no-starch-press-books?hmb_source=humble_home&amp;hmb_medium=product_tile&amp;hmb_campaign=mosaic_section_2_layout_index_5_layout_type_threes_tile_index_1_c_codingbookshelfnostarchpress_bookbundle">Humble Book Bundle: Learn to Code the Fun Way by No Starch Press (pay what you want and help charity)
</a> &mdash; Sean's Win of the Week is the If Hemingway Wrote Javascript from the current Humble Bundle.

We've teamed up with No Starch Press for our newest bundle! Get ebooks like Learn You a Haskell for Great Good!, Practical SQL, and Eloquent JavaScript 3rd Edition. Plus, your purchase will support UNCF and No Starch Press Foundation!
</li><li><a title="Amazon.com: If Hemingway Wrote JavaScript eBook: Croll, Angus: Kindle Store" rel="nofollow" href="https://www.amazon.com/dp/B00R8H2EP2/ref=nosim?tag=teachingpython-20">Amazon.com: If Hemingway Wrote JavaScript eBook: Croll, Angus: Kindle Store
</a> &mdash; What if William Shakespeare were asked to generate the Fibonacci series or Jane Austen had to write a factorial program? In If Hemingway Wrote JavaScript, author Angus Croll imagines short JavaScript programs as written by famous wordsmiths. The result is a peculiar and charming combination of prose, poetry, and programming.
</li></ul>]]>
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