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Author Young, R. Michael ♦ Amant, Robert St.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Fortunately for people seeking to learn more about artificial intelligence, a wide range of general and introductory educational materials related to AI is available on the Web. The Web resources described below, available both in electronic form and as pointers to conventional media such as books or videos, are not, however, of interest just to university educators and their students. Many of them are of broad scope and are useful to information technology specialists or AI practitioners seeking a starting-off point from which to improve their knowledge of the field. Some of the materials listed here will also be of use to educators in high schools or middle schools where AI topics may play a role in course curricula.
Description Affiliation: Department of Computer Science, North Carolina State University (Amant, Robert St.; Young, R. Michael)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2001-09-01
Publisher Place New York
Journal intelligence (INTL)
Volume Number 12
Issue Number 4
Page Count 3
Starting Page 15
Ending Page 17


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Source: ACM Digital Library