Teaching Artificial Intelligence in K-12 Classrooms

Should K-12 students be learning about artificial intelligence? Since the turn of the century, I have written about, observed and taught in programs to have all students learn the basics of coding. Prior to that, robotics made big moves into K-12 classrooms. AI seems to be the next step.

I saw recently that DayofAI.org launched a day for classrooms around the world to participate in learning about AI. They offered resources from MIT for teachers, including lesson plans and videos for all grade levels.

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New vehicles have many AI-assisted applications Image: Foundry Co

It's not that students aren't already surrounded by artificial intelligence in their everyday lives, but they are probably unaware of its presence. That is no surprise since most of the adults around them are equally unaware of AI around them.

You find AI used in maps and navigation, facial recognition, text editors and autocorrect, search and recommendation algorithms, chatbots, and in social media apps. If you have a smartphone to a new car, you are using AI consciously or unconsciously. Consciously is preferred and a reason to educate about AI.

Though I have never thought of my time as a K-12 teacher as training students for jobs in the way that teaching in higher education clearly has that in mind, you can't ignore what students at lower level might need one day to prepare for job training in or out of higher ed. Artificial intelligence, data analytics, cloud computing, and cybersecurity are areas that always show up in reports about jobs now and in the near future.ed workers which means that we need to do more to prepare our students for these careers and others that will evolve over time.

“AI will dominate the workplace and to be successful, people are going to have to understand it,” said Mark Cuban, who launched a foundation in 2019 that provides AI bootcamps for free to students to learn about AI. It is his belief and the belief of other tech leaders and educators that artificial intelligence is something that should and can be taught at all levels, regardless of a teacher’s experience in this field.

One starting place might be Google AI Experiments which offers simple experiments to explore machine learning, through things like pictures, drawings, language, and music. See https://experiments.withgoogle.com/collection/ai

AIClub offers courses for students and free resources for educators including professional development sessions to spark curiosity for learning about AI. They are also developing guidelines for AI curriculum in grades K through 12.

I tried an AI test (it is rather long for younger students) at www.tidio.com/blog/ai-test/ that was part of a survey for a research study about AI-generated content. It shows you images, texts, and plays sounds and asks you to decide if you think they show real people or were created by humans or not. Almost all of us will be fooled by things created by AI. Another site is fun for kids as it shows very realistic AI-created cats that don't really exist. And another site at https://ai4k12.org/ is also a human vs AI activity where you decide whether art, music, writing or photos were created by a human or AI.

All of those examples can be used as a way to introduce students to how AI is used and even caution them to recognize that they can be not only helped but deceived using AI.

Should You Be Teaching Systems Thinking?

An article I read suggests that systems thinking could become a new liberal art and prepare students for a world where they will need to compete with AI, robots and machine thinking. What is it that humans can do that the machines can't do?

Systems thinking grew out of system dynamics which was a new thing in the 1960s. Invented by an MIT management professor, Jay Wright Forrester,  it took in the parallels between engineering, information systems and social systems.

Relationships in dynamic systems can both amplify or balance other effects. I always found examples of this too technical and complex for my purposes in the humanities, but the basic ideas seemed to make sense.

One example from environmentalists seems like a clearer one. Most of us can see that there are connections between human systems and ecological systems. Certainly, discussions about climate change have used versions of this kind of thinking to make the point that human systems are having a negative effect on ecological systems. And you can look at how those changed ecological systems are then having effect on economic and industrial systems.

Some people view systems thinking as something we can do better, at lest currently, than machines. That means it is a skill that makes a person more marketable. Philip D. Gardner believes that systems thinking is a key attribute of the "T-shaped professional." This person is deep as well as broad, with not only a depth of knowledge in an area of expertise, but also able to work and communicate across disciplines.  

coverJoseph E. Aoun believes that systems thinking will be a "higher-order mental skill" that gives humans an edge over machines. 

But isn't it likely that machines that learn will also be programmed one day to think across systems? Probably, but Aoun says that currently "the big creative leaps that occur when humans engage in it are as yet unreachable by machines." 

When my oldest son was exploring colleges more than a decade ago, systems engineering was a major that I thought looked interesting. It is an interdisciplinary field of engineering and engineering management. It focuses on how to design and manage complex systems over their life cycles.

If systems thinking grows in popularity, it may well be adopted into existing disciplines as a way to connect fields that are usually in silos and don't interact. Would behavioral economics qualify as systems thinking? Is this a way to make STEAM or STEM actually a single thing?

 


David Peter Stroh, Systems Thinking for Social Change

Joseph E. Aoun, Robot-Proof: Higher Education in the Age of Artificial Intelligence

Gaming STEM in Humanities Courses

I did a presentation last month titled "Gaming STEM in Humanities Courses" at the NJEDge Faculty Best Practices Showcase

I talked about using serious games, primarily the Web Adventures series developed by Rice University, as a way to increase students’ science knowledge and to inspire science-related careers. I was interested in “gaming” these STEM programs for teaching humanities courses.

I used the Web Adventures in several courses, but I particularly liked using it in an undergraduate critical thinking course. Take a look at the slides from the presentation.





 


Animating Hair Is a Lesson in STEAM

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I am a proponent of the concept of teaching in a STEAM (science, technology, engineering, art, math) framework that goes across disciplines. I have seen many attempts to use science and math in teaching art - some successful, some not.

A new project that does this in an engaging way is a collaboration between Pixar Animation Studios and Khan Academy that is sponsored by Disney. Called "Pixar in a Box," it gives a look behind-the-scenes at how artists at Pixar need to use STEM to make art.

To make balls bounce, leaves in trees move in the wind, fireworks explode or realistic rippling water takes more than drawing skills. It requires computer skills and considerations of math, science such as physics and digital humanities.



In this learning series of videos on simulations, the Pixar artists use hair as an example of an animation problem that needed to be solved. Using examples from their films, such as the character Merida in Brave with her bouncy and curly hair, you learn how millions of hairs can be simulated if you think of them as being a huge system of springs.

As the lessons progress, you can learn about animation roles and will discover what a technical director does in the animation process.

The lessons are appropriate for grades 5 and up - though I can see many adults and younger kids interested in animation from a technical or artistic side enjoying the free series.