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In Order to LearnHow the sequence of topics influences learning$
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Frank E. Ritter, Josef Nerb, Erno Lehtinen, and Timothy O'Shea

Print publication date: 2007

Print ISBN-13: 9780195178845

Published to Oxford Scholarship Online: April 2010

DOI: 10.1093/acprof:oso/9780195178845.001.0001

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Epilogue: Let’s Educate

Epilogue: Let’s Educate

Chapter:
(p.225) Epilogue: Let’s Educate
Source:
In Order to Learn
Author(s):

Oliver G. Selfridge

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195178845.003.0016

This chapter contends that there is much we can learn about the education of people by studying learning in machines. Indeed, machine learning (ML) is an important major part of artificial intelligence (AI). Although we have a very long way to go, we have already learned some significant lessons about learning and education. It suggests that we should find out how to produce software that can be at least partly educated instead of having to be carefully programmed. The software must be able to learn not only how to accomplish the top-level desired tasks but also how to check and improve its performance on a continuing basis at many different levels. Once we know how to better educate our software, we shall be in a much better position to understand how to educate not just our software but also our children — and indeed ourselves.

Keywords:   machine learning, artificial intelligence, education

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