Möbus, Claus and Thole, Heinz-Jürgen (1989) Tutors, Instructions and Help. In: Künstliche Intelligenz (KIFS 1987). Künstliche Intelligenz, 202 . Springer, Berlin-Heidelberg, pp. 336-385. ISBN 978-3-540-50884-7

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Abstract

This paper consists of three parts. In the first part (1.-3.) we give a short introduction to computer aided instruction (CAI), intelligent computer aided instruction (ICAI) and a special variant namely intelligent tutoring systems (ITS). One of the most underestimated problems in the development of an ITS is the proper design of instruction. We prefer to discuss this problem not on an abstract but on a rather concrete level. So the second part (4.) documents two examples of instruction and help typically given in textbooks and intelligent tutoring systems concerning computer science education. These examples show that at present the construction of instruction is more art than science. They are an uncontrolled source of errors and misconceptions of the students.This causes severe problems in CAI and ICAI especially for the design of help components. In the third part (5.) we want to demonstrate how to derive instruction and help for a problem-solving monitor (PSM) presently under construction. This approach rests on production-based learning theory. We used rule sets to formalize the knowledge about the operational semantics of a graphical virtual machine, which is driven by graphical programs in the ABSYNT language (ABstract SYNtax Trees). Abstract facts and rule sets, which can be conceived as a runnable specification of the virtual machine, are related to concrete counterparts: icons and iconic rules. Thus diagrammatic information forms the core of our instructional help system.

Item Type:	Book Section
Uncontrolled Keywords:	computer aided instruction × CAI × intelligent computer aided instruction × ICAI × Intelligent Tutoring Systems × ITS × Instructional Design, design of help components, design of help information, problem-solving monitor, PSM, Computational Learning Theory, production-based learning theory, rule sets, operational semantics, graphical virtual machine, graphical programs, ABSYNT language, Abstract Syntax Trees, runnable specification
Subjects:	Generalities, computers, information > Computer science, internet Philosophy and psychology > Psychology
Divisions:	School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited:	15 Sep 2015 08:07
Last Modified:	15 Sep 2015 08:07
URI:	https://oops.uni-oldenburg.de/id/eprint/2409
URN:	urn:nbn:de:gbv:715-oops-24901
DOI:	10.1007/978-3-642-83739-5_11
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