Generating qualitative causal graph using modeling constructs of qualitative process theory for explaining organic chemistry reactions

Yee Chong Tang, Rukaini Abdullah, Sharifuddin M. Zain, Noorsaadah A. Rahman

Research output: Contribution to journalArticle

Abstract

This paper discusses the causal explanation capability of QRIOM, a tool aimed at supporting learning of organic chemistry reactions. The development of the tool is based on the hybrid use of Qualitative Reasoning (QR) technique and Qualitative Process Theory (QPT) ontology. Our simulation combines symbolic, qualitative description of relations with quantity analysis to generate causal graphs. The pedagogy embedded in the simulator is to both simulate and explain organic reactions. Qualitative reasoning through a causal chain will be presented to explain the overall changes made on the substrate; from initial substrate until the production of final outputs. Several uses of the QPT modeling constructs in supporting behavioral and causal explanation during run-time will also be demonstrated. Explaining organic reactions through causal graph trace can help improve the reasoning ability of learners in that their conceptual understanding of the subject is nurtured.

Original languageEnglish
Pages (from-to)894-904
Number of pages11
JournalWorld Academy of Science, Engineering and Technology
Volume35
Publication statusPublished - 01 Nov 2009

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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