Möbus, Claus (1996) Towards an Epistemology on Intelligent Design and Modelling Environments: The Hypothesis Testing Approach. In: Proceedings of the European Conference on Artificial Intelligence in Education (EuroAI-ED ´96). Edicoes Colibri,, Lisbon, Portugal, pp. 52-58. ISBN 972-8288-37-9

- Published Version

Volltext (175Kb)
Official URL: http://echo.iat.sfu.ca/library/mobus_03_epistemolo...


The main purpose of Intelligent Design and Modelling Environments is to offer students the opportunity to acquire knowledge while working on a sequence of given or self-selected problems chosen from the application domain. Earlier, we developed intelligent problem solving environments (IPSEs, Möbus, 1995) for various curricula and applications. Now we extend this approach to intelligent design and modelling environments in the areas of pneumatic circuits, chemical polymerisation reactions, economic simulation games, causal modeling, and diagnosis. On the surface being very different our systems follow a common design theory: the student acquires knowledge by testing his own hypotheses. First we want to show that hypothesis testing plays a fundamental role in a cognitive science orientated theory of knowledge acquisition (ISP-DL-Theory). This theory is the basis of our systems. In a case study three of our most recent systems (PULSE, WULPUS, MEDICUS) and their relationship to hypothesis testing are discussed. Then we define the concept of hypothesis testing in a logic framework. We describe knowledge acquisition events and learning effects. It is argued that knowledge acquisition stimulated by Intelligent Design and Modelling Environments is based fundamentally on self explaining the responses of the system to the student's hypotheses. Furthermore, we will show how the concepts of hypotheses testing and self explanation of the system`s feedback apply to the four case systems presented. Thus the topic of this paper is the epistemological implication: If there is empirical evidence for the ISP-DL-Knowledge Acquisition Theory which relies on self explanation then Intelligent Design and Modelling Environments should be designed like our systems which which stimulate self explanation.

Item Type: Book Section
Uncontrolled Keywords: Intelligent Design and Modelling Environments, intelligent problem solving environments , IPSEs, pneumatic circuits, chemical polymerisation reactions, economic simulation games, causal modeling, causal diagnosis, design theory, hypothesis testing approach, knowledge acquisition, ISP-DL-Theory, PULSE, WULPUS, MEDICUS, knowledge acquisition events, learning effects, self explanation,
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: 10 Sep 2015 06:59
Last Modified: 10 Sep 2015 06:59
URI: https://oops.uni-oldenburg.de/id/eprint/2204
URN: urn:nbn:de:gbv:715-oops-22850
DOI: DOI: 10.13140/2.1.4302.8802

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...