{"title":"Modelling Problem-solving for an Educational System","authors":"P. Tchounikine","doi":"10.1080/14626269709408378","DOIUrl":null,"url":null,"abstract":"Abstract When constructing a system that presents students with problem-solving, the essential problem to be considered is the definition of the system's conceptual model of the problem-solving expertise. We study two possible approaches of the definition of this model: refining generic problem-solving models and modelling by data-abstraction from an observed expertise. We emphasise that these two approaches have opposite advantages. The former facilitates the definition of rational systematic problem-solving models, the latter facilitates the respect of the problem-solving pedagogic specificities of a particular domain. In order to help in the refinement of the model constructed by either method we claim that a paper-based model is not sufficient and advocate the use of prototyping as a means to support modelling. To allow this prototyping we need a high-level language that (1) allows a quick operationalisation of the model while not enforcing predefined conceptual primitives, and (2) allows a control of...","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intell. Tutoring Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/14626269709408378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract When constructing a system that presents students with problem-solving, the essential problem to be considered is the definition of the system's conceptual model of the problem-solving expertise. We study two possible approaches of the definition of this model: refining generic problem-solving models and modelling by data-abstraction from an observed expertise. We emphasise that these two approaches have opposite advantages. The former facilitates the definition of rational systematic problem-solving models, the latter facilitates the respect of the problem-solving pedagogic specificities of a particular domain. In order to help in the refinement of the model constructed by either method we claim that a paper-based model is not sufficient and advocate the use of prototyping as a means to support modelling. To allow this prototyping we need a high-level language that (1) allows a quick operationalisation of the model while not enforcing predefined conceptual primitives, and (2) allows a control of...