Meet Seymour Papert, The Unsung Visionary Who Led 3 Technological Revolutions
Education is an area that has vast potential to use innovations and it continues to benefit from advancements in artificial intelligence.Educational technologies are at the forefront of harnessing advancements in AI, neuroscience and computer science. Seymour Papert (1928-2016), a South Africa-born American mathematician, AI scientist and educator is the undisputed heavyweight scholar who spent most of his career teaching and researching at MIT. He was a major contributor to the field of educational technologies and application of AI in education. He was one of the pioneers of AI, and of the constructionist movement in education. These technologies are used to enhance the learning process and to improve processes such as grading and improving access to important educational resources. Papert’s life and work are amazing because he was at the centre of not one, but three technological revolutions — child development, artificial intelligence and computational technologies in education. Papert is revered for his contribution in all of these three fields. Seymour Papert’s Background Papert went to the University of the Witwatersrand, where he received a Bachelor of Arts degree majoring Philosophy in 1949. This was followed by a PhD in Mathematics in 1952. He remained interested in mathematics for the rest of his life but his main contributions were destined to happen in other fields. Interestingly, he decided to pursue another doctorate and received a second doctorate also in mathematics from Cambridge in 1959. Papert had various stints as a researcher at many places. Among those research institutes were  St John’s College, Cambridge University, the Henri Poincaré Institute at the University of Paris, the University of Geneva, and the National Physical Laboratory. After these experiences he became a research associate at MIT in 1963. He eventually became a professor of applied math and was appointed co-director of the MIT Artificial Intelligence Laboratory by its founding director Professor Marvin Minsky, until 1981. He also held the professorship in the department of education at MIT for a long time. Papert’s Work In Artificial Intelligence As mentioned above, in the 1960s, Papert and Marvin Minsky co-founded the Artificial Intelligence Lab at MIT. This was an achievement which had an enormous effect on AI research and development. He also laid the foundation for some of the earliest work in AI. Minsky and Papert went on to write the book Perceptrons, considered a seminal work on artificial neural networks — and their limitations. He played an important part in the work of Uri Wilensky in the design of NetLogo and collaborated with him on the study of knowledge restructurations. In 1981, Papert along with several people in the Logo group at MIT, started Logo Computer Systems Inc. (LCSI), of which he was Board Chair for over 20 years. This led to the now very popular Lego/Logo (marketed as Lego Mindstorms). He also influenced the research of Idit Harel Caperton, co-authoring articles and the book Constructionism, and chairing the advisory board of the company MaMaMedia. He was a huge influence on Alan Kay and the Dynabook concept, and partnered with Kay on many future projects. Papert’s Work In Educational Technologies Papert’s work with his research students taught him that children learned more efficiently if they could see a physical result for their computing and calculating efforts. Kids loved his inventions and the amount of efforts he put into educational technologies for children was beyond comparison. One of the testimonies a child programmer was, “My most fond memory of when I first saw a computer, it was running Logo,” one poster wrote. “I got into trouble in school for throwing away the provided instructions and starting to hack that turtle into writing my name the moment I realised I could control it. I never looked back from that day. I was eight years old.” The first turtle was a physical robot (and later a virtual one) that could be programmed by Logo commands and draw geometrical shapes. Papert’s work entered pop culture and the mainstream scene in 1980, with the publication of the very important book Mindstorms: Children, Computers and Powerful Ideas. MIT, because of Papert managed to attract many bright students and researchers, who would bring to legions of children ideas to life. The Lego company transformed many of these ideas into products under the title “Mindstorms,” in honour of Papert. Papert’s Work In Child Development Papert followed Jean Piaget who was a Swiss psychologist and epistemologist. But after a while his research in child development took a different turn. He went on to propose “constructionism” as an alternative to Piaget’s “constructivism”. Piaget’s constructivism offered a look into what children are interested in, and able to achieve, at different stages of their development. Whereas, on the other hand, Edith Ackermann, an American psychologist says: “Papert’s constructionism, in contrast, focuses more on the art of learning, or ‘learning to learn’, and on the significance of making things in learning. Papert is interested in how learners engage in a conversation with [their own or other people’s] artefacts, and how these conversations boost self-directed learning, and ultimately facilitate the construction of new knowledge. He stresses the importance of tools, media, and context in human development.”
Education is an area that has vast potential to use innovations and it continues to benefit from advancements in artificial intelligence.Educational technologies are at the forefront of harnessing advancements in AI, neuroscience and computer science. Seymour Papert (1928-2016), a South Africa-born American mathematician, AI scientist and educator is the undisputed heavyweight scholar who spent most […]
Seymour Papert, AI scientist and educator is the undisputed heavyweight scholar who spent most of his career teaching and researching at MIT.
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["AI", "artificial intelligence", "neural network", "R", "Go", "ETL", "innovation", "AI research", "programming_languages:R", "programming_languages:Go"]
As a thorough data geek, most of Abhijeet's day is spent in building and writing about intelligent systems. He also has deep interests in philosophy, economics and literature.