Learning spaces as representational scaffolds for learning conceptual knowledge of system behaviour

Bert Bredeweg*, Jochem Liem, Wouter Beek, Paulo Salles, Floris Linnebank

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Scaffolding is a well-known approach to bridge the gap between novice and expert capabilities in a discovery-oriented learning environment. This paper discusses a set of knowledge representations referred to as Learning Spaces (LSs) that can be used to support learners in acquiring conceptual knowledge of system behaviour. The LSs are logically self-contained, meaning that models created at a specific LS can be simulated. Working with the LSs provides scaffolding for learners in two ways. First, each LS provides a restricted set of representational primitives to express knowledge, which focus the learner's knowledge construction process. Second, the logical consequences of an expression derived upon simulating, provide learners a reflective instrument for evaluating the status of their understanding, to which they can react accordingly. The work presented here is part of the DynaLearn project, which builds an Interactive Learning Environment to study a constructive approach to having learners develop a qualitative understanding of how systems behave. The work presented here thus focuses on tools to support educational research. Consequently, user-oriented evaluation of these tools is not a part of this paper.

Original languageEnglish
Title of host publicationSustaining TEL: From Innovation to Learning and Practice - 5th European Conference on Technology Enhanced Learning, EC-TEL 2010, Proceedings
Pages46-61
Number of pages16
Volume6383 LNCS
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event5th European Conference on Technology Enhanced Learning, EC-TEL 2010 - Barcelona, Spain
Duration: 28 Sep 20101 Oct 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6383 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference5th European Conference on Technology Enhanced Learning, EC-TEL 2010
CountrySpain
CityBarcelona
Period28/09/101/10/10

Keywords

  • Architecture
  • Conceptual knowledge
  • Knowledge representation
  • Qualitative reasoning
  • Scaffolding

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