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The Role of Conditional Release Technologies and Intelligent Tutors in Graduate Management Education

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Hybrid Learning (ICHL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7411))

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Abstract

Learning management systems have come a long way since Sir Isaac Pitman initiated the first correspondence course in the early 1840s. Today, the demands of globalization call for new and innovative learning systems for enhancing graduate management education. One approach for meeting these challenges is through the increased use of learning management systems, in general, and conditional release technologies (CRT), in particular. The primary aim of CRTs is to distribute knowledge in small and more management learning packages based on student performance and characteristics. Intelligent tutors provide the vehicle for helping identify the appropriate material. The purpose of this paper is to highlight new developments in the use of CRTs and intelligent tutors in a program of graduate management education.

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Author information

Authors and Affiliations

  1. Graziadio School of Business and Management, Pepperdine University, 24255 Pacific Coast Highway, Malibu, California, USA

    Owen P. Hall Jr. & Michael L. Williams

Authors
  1. Owen P. Hall Jr.
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  2. Michael L. Williams
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Editor information

Editors and Affiliations

  1. Open University of Hong Kong, 30 Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong, China

    Simon K. S. Cheung

  2. Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China

    Joseph Fong  & Lam-For Kwok  & 

  3. South China Normal University, 510631, Guangzhou, China

    Kedong Li

  4. Caritas Institute of Higher Education, 18 Chui Linf Road, Tseung Kwan O, New Territories, Hong Kong, China

    Reggie Kwan

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© 2012 Springer-Verlag Berlin Heidelberg

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Hall, O.P., Williams, M.L. (2012). The Role of Conditional Release Technologies and Intelligent Tutors in Graduate Management Education. In: Cheung, S.K.S., Fong, J., Kwok, LF., Li, K., Kwan, R. (eds) Hybrid Learning. ICHL 2012. Lecture Notes in Computer Science, vol 7411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32018-7_31

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  • DOI: https://doi.org/10.1007/978-3-642-32018-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32017-0

  • Online ISBN: 978-3-642-32018-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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