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Author Machado, Vania Bessa ♦ Bredeweg, Bert
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Easy-to-use Tool ♦ Distinct Behaviour ♦ Difficult Task ♦ Computer-based Simulation ♦ Domain Independent Model ♦ Qualitative Model ♦ Deep Understanding ♦ Main Goal ♦ Constructing Articulate Simulation ♦ Towards Interactive Tool ♦ Rich Vocabulary ♦ Qualitative Simulation ♦ Structural Constituent
Description Having learners construct computer-based simulations is becoming increasingly important as an approach to induce learning. Qualitative simulations incorporate a rich vocabulary for articulating insights about systems and their behaviours, including notions such as structural constituents, identifying qualitatively distinct behaviours, and making explicit the causal dependencies that govern a system's behaviour. When building a qualitative model all these details have to be made explicit (they have to be represented in the model). As a result, building a qualitative model induces a deep understanding of the system and its behaviour. In our research we want to exploit this phenomenon, i.e. have learners learn by building qualitative simulations. However, building qualitative models is generally seen as a difficult task, and no easy-to-use tools exist to support a learner in performing such a task. In this paper, we present MOBUM, a domain independent model building environment aimed at supporting learners in building qualitative simulations. MOBUM is a fully implemented prototype in JAVA. The main goal of this prototype is to generate and clarify ideas with respect to how such a model building tool should be constructed.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2001-01-01
Publisher Institution Proceedings of the International workshop on Qualitative Reasoning, QR'01