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Researching Adaptive Instruction

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1892))

Abstract

Human tutors have the ability to explain concepts several different ways using multiple instruction methods. Typically, instruction methods are used when students are having difficulty learning a concept. Intelligent tutoring systems are expert systems [5] where the expert is a tutor. Ideally, an intelligent tutoring system should have the ability to explain concepts several different ways using a knowledge base of multiple instruction methods [3,4,6,7]. The technique of providing instruction using multiple instruction methods during a single tutoring session is “Adaptive Instruction”. An intelligent tutoring system that provides adaptive instruction has been developed, Arthur[2]. Arthur has been used in a research experiment with human subjects. The results of this experiment are discussed in the section below.

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References

  1. Dunn, K. and Dunn, R. Teaching students through their individual learning styles: A practical approach. Reston, VA: Reston Publishing (1978)

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  2. Gilbert, J. E. & Han, CY. Adapting Instruction in Search of “A Significant Difference”. Journal of Network and Computing Applications, 22, 3 (1999)

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  5. Russell, S., & Norvig, P., Artificial Intelligence A Modern Approach. (p. 151). NJ:Prentice Hall (1995)

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  6. Spensley, F., Elsom-Cook, M., Byerley, P., Brooks, P., Federici, M. and Scaroni, C. “Using multiple teaching strategies in an ITS,” in Frasson, C. and Gauthier, G. (eds.), Intelligent Tutoring Systems: At the crossroads of Artificial Intelligence and Education. Norwood, NJ: Ablex (1990)

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  7. Van Marcke, K. Instructional Expertise. In Frasson, C., Gauthier, G., & McCalla, G.I. (Eds.) Procs. of Intelligent Tutoring Systems’ 92. Springer Verlag, Berlin (1992)

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© 2000 Springer-Verlag Berlin Heidelberg

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Gilbertau, J.E., Han, C.Y. (2000). Researching Adaptive Instruction. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2000. Lecture Notes in Computer Science, vol 1892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44595-1_57

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  • DOI: https://doi.org/10.1007/3-540-44595-1_57

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67910-3

  • Online ISBN: 978-3-540-44595-1

  • eBook Packages: Springer Book Archive

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