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Arthur: A personalized instructional system

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Abstract

PERSONALIZED INSTRUCTION can be defined as instruction that is tailored to the learner’s learning style. Arthur (Gilbert & Han, 1999) is an adaptive instructional system that provides personalized instruction to each learner. Arthur has been used in two research experiments, and the findings of those experiments are reported here. The focus of the experiments was to find a significant difference in learner outcomes. As Russell (1999) has discovered, numerous implementations of instruction using technology have not provided a significant difference in learner outcomes. In Russell’s observations, the distribution of learner outcomes was normal. In this study, a significant difference will be observed when the distribution of learner outcomes is skewed with the majority of learners on the high end of the distribution. Arthur delivers a significant difference in learner outcomes by adapting instructional methods within lessons.

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References

  • Bloom, B.S. (1976).Human characteristics and school learning. New York: McGraw-Hill.

    Google Scholar 

  • Gilbert, J.E. (2000). Case based reasoning applied to instruction method selection for Intelligent Tutoring Systems.Workshop Proceedings of ITS’2000: Fifth International Conference on Intelligent Tutoring Systems (pp. 11–15). Montreal, CA.

  • Gilbert, J.E., & Han, C.Y. (1999). Adapting instruction in search of “A Significant Difference.”Journal of Network and Computing Applications, 22(3), 149–160.

    Article  Google Scholar 

  • Microsoft, Inc. (2000).Microsoft Home Page. [Online] Available http://www.microsoft.com/.

  • Netscape. (2000).Netscape Home Page. [Online] Available http://www.netscape.com/

  • RealNetworks, Inc. (2000).RealNetworks Home Page. [Online] Available http://www.realnetworks.com/.

  • Russell, T.L. (Compiled by). (1999).The no significant difference phenomenon as reported in 355 research reports, summaries and papers: A comparative research annotated bibliography on technology for distance education. North Carolina State University: Office of Instructional Telecommunications.

  • Woolfolk, A.E. (1998).Educational Psychology. (7th ed.) Boston, MA: Allyn & Bacon.

    Google Scholar 

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Author information

Author notes

  1. Juan E. Gilbert

    Present address: Computer Science & Software Engineering, Auburn University, 107 Dunstan Hall, 36849-5347, Auburn, AL, USA

  2. C. Y. Han

    Present address: Department of ECECS, University of Cincinnati, 830 ERC, 45221-0030, Cincinnati, OH, USA

Authors and Affiliations

    Authors
    1. Juan E. Gilbert
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    2. C. Y. Han
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    Corresponding author

    Correspondence to Juan E. Gilbert.

    Additional information

    ABOUT THE AUTHORS

    Juan E. Gilbert is an Assistant Professor in the Computer Science and Software Engineering Department at Auburn University. His research focus is in Human-Computer Interaction with an emphasis on eLearning and eCommerce. His work on eLearning deals with the adaptive instruction environments that personalize learning. His current research in this area involves the use of Animated Pedagogical Agents that have culture specific personas. The aim of this research is to provide a Universal Learning Environment through the use of culture specific personalizations.

    C.Y. Han is an Associate Professor at the University of Cincinnati in the Department of Electrical and Computer Engineering and Computer Science. His research areas are knowledge engineering, computer vision, pattern recognition, CAD/CAM, computer graphics and multimedia systems.

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    Gilbert, J.E., Han, C.Y. Arthur: A personalized instructional system. J. Comput. High. Educ. 14, 113–129 (2002). https://doi.org/10.1007/BF02940953

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    • DOI: https://doi.org/10.1007/BF02940953

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