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Toward the design of adaptive instructions and helps for knowledge communication with the problem solving monitor ABSYNT

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Artificial Intelligence in Higher Education

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 451))

Abstract

For approximately ten years computer aided knowledge communication disappeared from the research scene. Today, it has been reestablished under the abbreviations of ICAI (Intelligent Computer Aided Instruction) and ITS (Intelligent Tutoring Systems) with regular conferences, research journals and textbooks [1,2,3,4,5].

This paper offers contributions to CAI and ICAI in the framework of the problem solving monitor (PSM) ABSYNT. Our system — a special variant of an ITS — is designed with respect to a sequence of programming tasks in the visual functional computer language ABSYNT (ABstract SYNtax Trees). It provides the learner with a friendly environment including a help but no curricular component.

First, we show that conventional instructions and helps can be improved by using existing AI methodology, visualization of information and cognitive modelling to make them adaptive to the knowledge state of the user. Second, we demonstrate the improvement of ICAI by an interactive help system which supports planning tasks of the user. It checks hypotheses postulated by the user, and gives feedback concerning imcomplete proposals.

This research was sponsored by the Deutsche Forschungsgemeinschaft (DFG) in the SPP Knowledge Psychology under contract no MO 292/3

ABSYNT was transformed from an idea to reality by K.D.FRANK, G.JANKE, K.KOHNERT, O.SCHRÖDER & H.J.THOLE

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Authors and Affiliations

  1. Dept. of Computational Sciences, University of Oldenburg, D-2900, Oldenburg, W. Germany

    Claus Möbus

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  1. Claus Möbus
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Vladimir Mařík Olga Štěpánková Zdeněk Zdráhal

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© 1990 Springer-Verlag Berlin Heidelberg

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Möbus, C. (1990). Toward the design of adaptive instructions and helps for knowledge communication with the problem solving monitor ABSYNT. In: Mařík, V., Štěpánková, O., Zdráhal, Z. (eds) Artificial Intelligence in Higher Education. Lecture Notes in Computer Science, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52952-7_19

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  • DOI: https://doi.org/10.1007/3-540-52952-7_19

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  • Print ISBN: 978-3-540-52952-1

  • Online ISBN: 978-3-540-47183-7

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