{"id":7545,"date":"2025-08-15T02:00:09","date_gmt":"2025-08-15T07:00:09","guid":{"rendered":"https:\/\/stager.tv\/?p=7545"},"modified":"2026-01-15T13:49:58","modified_gmt":"2026-01-15T18:49:58","slug":"cmks-roots-logo-piaget-and-ai","status":"publish","type":"post","link":"http:\/\/stager.tv\/?p=7545","title":{"rendered":"CMK\u2019s Roots: Logo, Piaget, and AI"},"content":{"rendered":"\n
\n
\n

Constructing Modern Knowledge was borne of conversations between Gary Stager and Seymour Papert<\/a> about the need to create a setting where educational computing and progressive education could dance together. Papert, the father of educational computing, helped Piaget understand how children construct mathematical knowledge, was a pioneer in artificial intelligence and a founding member of the MIT Media Lab, was the co-inventor of the Logo programming language, and authored three of the most important books about learning and computing.<\/p>\n<\/div>\n\n\n\n

\n
\"\"\/<\/a>
Great new book<\/a> from CMK Press<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Download our free AI in Education Reading Guide<\/a><\/strong><\/p>\n\n\n\n

Fundamentally, Papert framed two competing views of education as instructionism vs. constructionism<\/a>. Instructionism posits that learning is the result of having been taught. It focuses on things like, instruction, curriculum, testing, and the intervention of teachers. Constructionism<\/a> is built on the Piagetian notion that knowledge is a consequence of experience and the idea that people learn by constructing knowledge through the process of making something shareable. Simply stated, the learner learns.<\/p>\n\n\n\n

The same paradigm may be applied to how AI is envisioned for schools. Instructionists tout the use of AI for lesson plan writing, marking student work, teacher record keeping, and the production of instructional materials, including worksheets, quizzes, flashcards, and tests. Constructionists are unconcerned with using technology to sustain questionable instructional practices, even when they are made more efficient.<\/p>\n\n\n\n

Since the 1960s, Seymour Papert and constructionists have offered a profoundly aspirational and learner-centered vision of artificial intelligence in education. Those seeking a humane learner-centered vision of AI would be wise to read Chapter 7 of Seymour Papert\u2019s seminal book, Mindstorms: Children, Computers, and Powerful Ideas<\/em><\/a>. That chapter is titled, \u201cLOGO\u2019s Roots: Piaget and AI\u201d<\/p>\n\n\n\n

Here are two particularly relevant passages.<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Suffice to say, Constructing Modern Knowledge was cool long before AI was cool.<\/strong><\/h2>\n\n\n\n

Five Ways in Which CMK has its Roots in AI<\/h2>\n\n\n\n

1<\/h2>\n\n\n\n

The roots of CMK are in Logo, the programming language and approach to learning<\/a> designed for children, primarily by Seymour Papert and CMK Senior Fellow, Cynthia Solomon. Soon after its initial creation, Logo was nurtured in the MIT Artificial Intelligence Laboratory of the late 1960s and 1970s. The programming environments powering CMK projects are descendent of Logo, including: Scratch, SNAP!, Turtle Art, TurtleStitch, MakeCode, microBlocks, and Beetle Blocks.

Learn about Logo and explore a growing library of resources here<\/a>.<\/p>\n\n\n\n

\"20<\/a>
Explore the new book reflecting on the 1971 paper, Twenty Things to Do with a Computer Forward 50: Future Visions of Education Inspired by Seymour Papert and Cynthia Solomon\u2019s Seminal Work<\/a><\/em><\/figcaption><\/figure>\n\n\n\n
\n\n\n\n

2<\/h2>\n\n\n\n

Marvin Minsky, considered by many to be the \u201cfather of artificial intelligence\u201d led a fireside chat at the first ten Constructing Modern Knowledge institutes. We were indeed spoiled to spend time in the company of one of the great minds of the past century and are grateful for Marvin\u2019s generosity and willingness to engage educators in discussion.<\/p>\n\n\n\n

\"Marvin<\/figure>\n\n\n\n
\n\n\n\n

3<\/h2>\n\n\n\n

Dr. Stephen Wolfram, one of the world\u2019s most significant scientists and creator of the tools powering the AI revolution was a guest speaker at Constructing Modern Knowledge twice! At Constructing Modern Knowledge Australia, his insanely powerful Wolfram Notebook Assistant + LLM Kit <\/a>will be one of the tools available tor creating computational projects that were otherwise impossible just a few months ago.<\/p>\n\n\n\n

\"Wolfram<\/a><\/figure>\n\n\n\n
\n\n\n\n

4<\/h2>\n\n\n\n

CMK Senior Fellow, Dr. Cynthia Solomon<\/a>, assembled a fantastic volume of essays by AI pioneer, Marvin Minsky. Constructing Modern Knowledge Founder, Gary Stager, was honored to contribute one of the expert response essays in the book, Inventive Minds \u2013 Marvin Minsky on Education<\/strong>.<\/a>
<\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n
\n\n\n\n

5<\/h2>\n\n\n\n

Since its inception, projects at Constructing Modern Knowledge have included attempts to build \u201cthinking\u201d machines with sensors, feedback, and code.

Participants have built shoes that when clicked together call an Uber, stair climbing autonomous vacuum cleaners, and smart helmets\u2026

Here\u2019s a video<\/a> of a robot fortune teller project. Who knows what will be possible with AI as our learner’s apprentice?<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Download our free AI in Education Reading Guide<\/a><\/strong><\/p>\n\n\n\n

\n\n\n\n

Educators, or anyone else interested in understanding what artificial intelligence may contribute to learning, education, and society, would be well-advised to read the books recommended in the document below. (click on the image) <\/p>\n\n\n

\n
\"\"<\/a>
Click to Download<\/a><\/figcaption><\/figure>\n<\/div>\n\n\n

Other Resources<\/h2>\n\n\n\n