Analyzing Problem's Difficulty based on Neural Networks and Knowledge Map

dc.creator	Jia-Sheng Heh
dc.creator	Maiga Chang
dc.creator	Wei-Peng Lien
dc.creator	Rita Kuo
dc.date	2004-04-01T00:00:00Z
dc.date.accessioned	2015-08-12T11:18:40Z
dc.date.available	2015-08-12T11:18:40Z
dc.identifier	1436-4522
dc.identifier	https://doaj.org/article/9b3e626b726f4fd7a69588525539c804
dc.identifier.uri	http://evidence.thinkportal.org/handle/123456789/27080
dc.description	This paper proposes a methodology to calculate both the difficulty of the basic problems and the difficulty of solving a problem. The method to calculate the difficulty of problem is according to the process of constructing a problem, including Concept Selection, Unknown Designation, and Proposition Construction. Some necessary measures observed in the problem construction process are also defined in this paper in order to formulate and calculate the difficulties. Beside the difficulty of the basic problem, four difficulty dimensions for problem solvers to realize what kinds of abilities they are lack of to deal with the problem, including Identification, Elaboration, Planning, and Execution, corresponding to the each step of problem solving process are also analyzed and designed by the artificial neural networks in this paper. By these difficulty measures learners can understand what kind of problems they meet and what sort of problem solving strategies they use in solving the problem. To verify our goals, an Item Generating System is constructed for demonstrating and supporting the difficulty calculation in the end of this paper.
dc.language	English
dc.publisher	IEEE Computer Society
dc.relation	http://www.ifets.info/abstract.php?art_id=56
dc.relation	https://doaj.org/toc/1436-4522
dc.source	Educational Technology & Society, Vol 7, Iss 2, Pp 42-50 (2004)
dc.subject	Difficulty of problems
dc.subject	Knowledge map
dc.subject	Neural networks
dc.subject	Problem solving process
dc.subject	Least-mean square
dc.subject	Technology (General)
dc.subject	T1-995
dc.subject	Technology
dc.subject	T
dc.subject	DOAJ:Technology (General)
dc.subject	DOAJ:Technology and Engineering
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Technology (General)
dc.subject	T1-995
dc.subject	Technology
dc.subject	T
dc.subject	DOAJ:Technology (General)
dc.subject	DOAJ:Technology and Engineering
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Technology (General)
dc.subject	T1-995
dc.subject	Technology
dc.subject	T
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	Technology (General)
dc.subject	T1-995
dc.subject	Technology
dc.subject	T
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	Technology (General)
dc.subject	T1-995
dc.subject	Technology
dc.subject	T
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.title	Analyzing Problem's Difficulty based on Neural Networks and Knowledge Map
dc.type	article