The future of random-seeded crystal learning in computer-aided instruction

Author

Rubin, Stuart H.

Author_Institution

Central Michigan Univ., Mount Pleasant, MI, USA

fYear

1994

fDate

2-6 Nov 1994

Firstpage

579

Lastpage

582

Abstract

The US economy is undergoing a period of rapid change. A second industrial revolution is in process. The key to economic survival in these increasingly dynamic times is an educated workforce. The importance of mass education does not eclipse the need for customized education. Artificial intelligence technologies can drive multimedia systems, which can provide an unprecedented level of individual attention throughout the educational process. Such systems will present an exo-intelligence over the information superhighway. They will teach us how to learn more effectively. Random seeded crystal learning methodologies provide for interaction with the expert so as to amplify the basis knowledge, which is provided

Keywords

intelligent tutoring systems; US economy; artificial intelligence technologies; computer-aided instruction; customized education; information superhighway; mass education; multimedia systems; random-seeded crystal learning; workforce education; Artificial intelligence; Computer aided instruction; Computer science education; Continuing education; Costs; Economics; Educational technology; Learning; Multimedia systems; Production facilities;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers in Education Conference, 1994. Twenty-fourth Annual Conference. Proceedings

Conference_Location

San Jose, CA

ISSN

0190-5848

Print_ISBN

0-7803-2413-7

Type

conf

DOI

10.1109/FIE.1994.580607

Filename

580607