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ERIC Number: EJ1094426
Record Type: Journal
Publication Date: 2016-Apr
Pages: 15
Abstractor: As Provided
Reference Count: 37
ISSN: EISSN-1305-8223
Application of Graph Theory in an Intelligent Tutoring System for Solving Mathematical Word Problems
Nabiyev, Vasif V.; Çakiroglu, Ünal; Karal, Hasan; Erümit, Ali K.; Çebi, Ayça
EURASIA Journal of Mathematics, Science & Technology Education, v12 n4 p687-701 Apr 2016
This study is aimed to construct a model to transform word "motion problems" in to an algorithmic form in order to be processed by an intelligent tutoring system (ITS). First; categorizing the characteristics of motion problems, second; suggesting a model for the categories were carried out. In order to solve all categories of the problems, graph theory including backward and forward chaining techniques of artificial intelligence were utilized. The study outlines the adoption of graph theory in to the motion problems and put forth some evidence that the model solves almost all of the motion problems. In conclusion, the recommended model can be suggested to be used in educational software in the problem solving context.
EURASIA. Gazi Egitim Fakultesi, K Blok 210, Teknikokullar, Ankara, 06500 Turkey. Tel: +90-312-202-8192; Fax: +90-312-222-8483; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Grade 9; Junior High Schools; Middle Schools; Secondary Education; High Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey