The Intertwined Histories of Artificial Intelligence and Education


Shayan Doroudi

AI-ALOE Webinar
February 26, 2025

There have been two major strands with different visions for what AI should like and what education should like.

Why History?

AI research was fundamentally intertwined with education research from the beginning...but that's not so much the case anymore.

There have been two major strands with different visions for what AI should like and what education should like.

Why History
in the Age of LLMs?

AI research was fundamentally intertwined with education research from the beginning...but that's not so much the case anymore.

But perhaps LLMs give us a new opportunity to come back to this!

Ironically, LLMs come from a third strand that was largely disconnected from education.

...but, we can attempt to align them to either of these earlier visions!

There‘s more to AI and education than large language models.

1956

Dartmouth Workshop

"Dartmouth Tetrad": Herbert Simon, Allen Newell, Marvin Minsky, & John McCarthy

1956

Dartmouth Workshop

Part I:
The Neats

1956

Herb Simon and Allen Newell create the
Logic Theorist

1956

1970

Simon and Newell publish “Human Problem Solving: The State of the Theory in 1970”

"The theory of problem solving described here gives us a new basis for attacking the psychology of education and the learning process. It allows us to describe in detail the information and programs that the skilled performer possesses, and to show how they permit him to perform successfully."

Establish information-processing psychology (or cognitivism) as dominant learning theory in psychology and education. 

Simon and Newell's colleagues conduct decades of work on intelligent tutoring systems.

Herb Simon and Allen Newell create the
Logic Theorist

Simon, H. A., & Newell, A. (1971). Human problem solving: The state of the theory in 1970. American Psychologist, 26(2), 145.

1967

Newell started working on Merlin, an intelligent tutoring system to teach graduate AI!

Simon coined the term "learning engineering"

"the effort transmuted into one of building a program that would understand artificial intelligence"

1996

Simon and colleagues wrote a famous article in Educational Researcher defending cognitivism and arguing against situated learning

1970

Herb Simon and Allen Newell create the
Logic Theorist

Simon and Newell publish “Human Problem Solving: The State of the Theory in 1970”

1956

Simon, H. A. (1967). Job of a college president. Educational Record, 48(1), 68–78.

Moore, J., & Newell, A. (1974). How can Merlin understand? In L. W. Gregg (Ed.), Knowledge and Cognition. Psychology Press.

Part II:
The Scruffies

1956

1967

Newell started working on Merlin

Simon coined the term "learning engineering"

1970

Herb Simon and Allen Newell create the
Logic Theorist

Simon and Newell publish “Human Problem Solving: The State of the Theory in 1970”

Marvin Minsky joins faculty at MIT

Seymour Papert goes to Geneva to study with Jean Piaget

1958

1956

1967

Newell started working on Merlin

Simon coined the term "learning engineering"

1970

Herb Simon and Allen Newell create the
Logic Theorist

Simon and Newell publish “Human Problem Solving: The State of the Theory in 1970”

1964

Marvin Minsky joins faculty at MIT

Seymour Papert goes to Geneva to study with Jean Piaget

1958

Papert joins Minsky at MIT to work on AI from a constructivist 
perspective

"I made the transition because I believed that my new world of machines could provide a perspective that might lead to solutions to problems that had eluded us in the old world of children."

Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books, Inc.

1967

Newell started working on Merlin

Simon coined the term "learning engineering"

1970

Herb Simon and Allen Newell create the
Logic Theorist

Simon and Newell publish “Human Problem Solving: The State of the Theory in 1970”

1964

Papert and colleagues create the Logo programming language

Computational Thinking
Microworlds
Scratch

Constructionism

New ways of thinking about learning and education inspired by Piaget and AI

1956

Marvin Minsky joins faculty at MIT

Seymour Papert goes to Geneva to study with Jean Piaget

1958

Papert joins Minsky at MIT to work on AI from a constructivist 
perspective

Logo Turtles

for repetition in range(10000):
    begin_fill()
    for side in range(4):
        forward(20)
        right(60)
    end_fill()
    right(random.choice([0, 180]))
for repetition in range(10000):
    begin_fill()
    for side in range(4):
        forward(20)
        right(60)
    end_fill()
    right(random.choice([0, 180]))

1956

Newell started working on Merlin

Simon coined the term "learning engineering"

Herb Simon and Allen Newell create the
Logic Theorist

Marvin Minsky joins faculty at MIT






Seymour Papert goes to Geneva to study with Jean Piaget

1958

Papert and colleagues create the Logo programming language

1967

1985

Second International Conference on Artificial Intelligence and Education

"The 1985 conference ended with the exciting prospect of the ‘coming together’ of the two traditional streams of ‘tutoring systems’ and ‘learning environments’ to address common problems in the design of instructional systems from an Artificial Intelligence perspective."

Lawler, R., & Yazdani, M. (1987). Artificial intelligence and education: Learning environments and tutoring systems (Vol. 1). Intellect Books.

1956

Newell started working on Merlin

Simon coined the term "learning engineering"

Herb Simon and Allen Newell create the
Logic Theorist

Marvin Minsky joins faculty at MIT






Seymour Papert goes to Geneva to study with Jean Piaget

1958

1985

Second International Conference on Artificial Intelligence and Education

"it was clear that a new interest group had emerged; one which was committed neither primarily to AI nor to education matters, but to matters which fall into the overlap between them. Both subjects show an interest in knowledge acquisition (be it people or machines) and they need a theoretical framework in which to study learning and teaching processes. They can also help each other in many ways."

Yazdani, M., & Lawler, R. W. (1986). Artificial intelligence and education: An overview. Instructional Science, 14(3), 197–206.

1967

Papert and colleagues create the Logo programming language

1956

Newell started working on Merlin

Simon coined the term "learning engineering"

Herb Simon and Allen Newell create the
Logic Theorist

Marvin Minsky joins faculty at MIT






Seymour Papert goes to Geneva to study with Jean Piaget

1958

1985

Second International Conference on Artificial Intelligence and Education

1967

Papert and colleagues create the Logo programming language

1956

Newell started working on Merlin

Simon coined the term "learning engineering"

Herb Simon and Allen Newell create the
Logic Theorist

Marvin Minsky joins faculty at MIT






Seymour Papert goes to Geneva to study with Jean Piaget

1958

1985

Second International Conference on Artificial Intelligence and Education

1991

The fifth AIED conference gets rebranded as the first International Conference of the Learning Sciences
by Roger Schank — also a leading AI researcher.

1967

Papert and colleagues create the Logo programming language

1956

Newell started working on Merlin

Simon coined the term "learning engineering"

Herb Simon and Allen Newell create the
Logic Theorist

Marvin Minsky joins faculty at MIT






Seymour Papert goes to Geneva to study with Jean Piaget

1958

1985

Second International Conference on Artificial Intelligence and Education

1991

The fifth AIED conference gets rebranded as the first International Conference of the Learning Sciences
by Roger Schank — also a leading AI researcher.

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Over time, NEITHER community was concerned with the interdisciplinary study of learning in humans and machines.

1967

Papert and colleagues create the Logo programming language

Two Approaches to AI and Education

AI Neat Scruffy
Pedagogy Instructionism Constructionism
Ed Tech Tutoring Systems Microworlds
Psychology Information-Processing Constructivism
Philosophy Rationalism Romanticism

”Education is not the filling of a pail, but the lighting of a fire.”
— Plutarch

Part III:
The Connectionists

1956

Newell started working on MERLIN

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1964

Papert joins Minsky at MIT to work on AI from a constructivist 
perspective

The Neats

The Scruffies

Artificial Intelligence in Education (AIED) community

Learning Sciences community

1956

Newell started working on MERLIN

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1943

Warren McCulloch and Walter Pitts describe the
artificial neural network
as a model of computation

1964

Papert joins Minsky at MIT to work on AI from a constructivist 
perspective

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Newell started working on MERLIN

1957

1956

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1943

1964

Warren McCulloch and Walter Pitts describe the
artificial neural network
as a model of computation

Papert joins Minsky at MIT to work on AI from a constructivist 
perspective

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Frank Rosenblatt develops the perceptron learning algorithm for single-layer neural networks

Newell started working on MERLIN

1957

1956

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1943

1964

Papert joins Minsky and McCulloch at MIT to work on AI from a constructivist 
perspective

Warren McCulloch and Walter Pitts describe the
artificial neural network
as a model of computation

Frank Rosenblatt develops the perceptron learning algorithm for single-layer neural networks

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Newell started working on MERLIN

1957

1969

Papert and Minsky publish Perceptrons which showed the limitations of simple neural networks

1956

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1943

1964

Warren McCulloch and Walter Pitts describe the
artificial neural network
as a model of computation

(...and showed what simple neural networks could do!)

Frank Rosenblatt develops the perceptron learning algorithm for single-layer neural networks

Papert joins Minsky and McCulloch at MIT to work on AI from a constructivist 
perspective

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Newell started working on MERLIN

1957

1969

1956

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1943

1964

1985

Researchers discover the backpropagation algorithm finally showing the practicality of multilayer neural  networks

Papert and Minsky publish Perceptrons which showed the limitations of simple neural networks

(...and showed what simple neural networks could do!)

Warren McCulloch and Walter Pitts describe the
artificial neural network
as a model of computation

Papert joins Minsky and McCulloch at MIT to work on AI from a constructivist 
perspective

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Frank Rosenblatt develops the perceptron learning algorithm for single-layer neural networks

Newell started working on MERLIN

1957

1969

1956

Herb Simon and Allen Newell create the
Logic Theorist

1985

Second International Conference on Artificial Intelligence and Education

1943

1964

1985

Researchers discover the backpropagation algorithm finally showing the practicality of multilayer neural  networks

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Papert and Minsky publish Perceptrons which showed the limitations of simple neural networks

(...and showed what simple neural networks could do!)

Warren McCulloch and Walter Pitts describe the
artificial neural network
as a model of computation

Situated learning emerges as a learning theory in reaction to AI and cognitivism

1987

Papert joins Minsky and McCulloch at MIT to work on AI from a constructivist 
perspective

Frank Rosenblatt develops the perceptron learning algorithm for single-layer neural networks

Newell started working on MERLIN

1985

Second International Conference on Artificial Intelligence and Education

2012

Deep learning is established

Artificial Intelligence in Education (AIED) community

Learning Sciences community

Researchers discover the backpropagation algorithm finally showing the practicality of multilayer neural  networks

Situated learning emerges as a learning theory in reaction to AI and cognitivism

1987

2012

Large language models become popular

2022

Deep learning is established

?

Researchers discover the backpropagation algorithm finally showing the practicality of multilayer neural  networks

1985

Second International Conference on Artificial Intelligence and Education

Artificial Intelligence in Education (AIED) community

Learning Sciences community

1985

How LLMs Compare to Earlier AI

Unlike earlier AI, LLMs were trained on a LOT of data with no theory of learning or pedagogy in mind.

BUT it does NOT always act like a human!

The resulting pretrained model can be adopted as a model for learning and teaching.

Two Approaches to AI and Education

AI Neat Scruffy
|
Connectionist
Pedagogy Instructionism Constructionism
Situated Learning
Ed Tech Tutoring Systems Microworlds
Psychology Information-Processing Constructivism
Philosophy Rationalism Romanticism

Which Approaches Do LLMs Align With?

AI Neat Scruffy
|
Connectionist
Pedagogy Instructionism Constructionism
Situated Learning
Ed Tech Tutoring Systems Microworlds

“Ken Kahn is a pioneer in computing education, reaching back to the first days of the Artificial Intelligence Laboratory at MIT. The Learner’s Apprentice brings this perspective to the latest advances in Generative AI, where student creations result from active collaborations with AI partners.”  Hal Abelson

There have been two major strands with different visions for what AI should like and what education should like.

Why History
in the Age of LLMs?

AI research was fundamentally intertwined with education research from the beginning...but that's not so much the case anymore.

But perhaps LLMs give us a new opportunity to come back to this!

Ironically, LLMs come from a third strand that was largely disconnected from education.

...but, we can attempt to align them to either of these earlier visions!

There‘s more to AI and education than large language models.

Further Reading

AI-ALOE Webinar: History of AI and Education

By Shayan Doroudi

AI-ALOE Webinar: History of AI and Education

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