A1 Refereed original research article in a scientific journal
Using induction to generate feedback in simulation based discovery learning environments
Authors: Koen Veermans, Wouter R. Van Joolingen
Publisher: Springer
Publication year: 1998
Journal: Lecture Notes in Computer Science
Journal name in source: INTELLIGENT TUTORING SYSTEMS
Journal acronym: LECT NOTES COMPUT SC
Volume: 1452
First page : 196
Last page: 205
Number of pages: 10
ISBN: 3-540-64770-8
ISSN: 0302-9743
DOI: https://doi.org/10.1007/3-540-68716-5_25
Abstract
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with advice on discovery learning. The system analyzes the evidence that a learner has generated for a specific hypothesis, assesses whether the learner needs support on the discovery process, and the nature of that support. The kind of advice described in this paper is general in the sense that it does not rely on specific domain knowledge, and specific in the sense that it is directly related to the learner's interaction with the system. The learner modelling mechanism is part of the SimQuest authoring system for simulation-based discovery learning environments.
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with advice on discovery learning. The system analyzes the evidence that a learner has generated for a specific hypothesis, assesses whether the learner needs support on the discovery process, and the nature of that support. The kind of advice described in this paper is general in the sense that it does not rely on specific domain knowledge, and specific in the sense that it is directly related to the learner's interaction with the system. The learner modelling mechanism is part of the SimQuest authoring system for simulation-based discovery learning environments.