• DocumentCode
    3434064
  • Title

    An intelligent educational software for automatic problem solving in Linear algebra

  • Author

    Nhon Do Van ; Hung Chau Kim ; Van Ho Long

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Inf. Technol., Ho Chi Minh City, Vietnam
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    697
  • Lastpage
    702
  • Abstract
    Systems of automatic problem solving based on knowledge base play an important role in application of artificial intelligent; especially in education, those systems support effectively to students and teachers in learning and teaching mathematics. Linear algebra is an important basic knowledge for all students in most of disciplines, particularly in information technology. In this paper, a knowledge representation model and inference algorithm are presented; and they have been used to design and implement a system of automatic solving for Linear algebra, as a result that its solutions are suitable with thinking and writing of human. The system is implemented by the algebraic computation system of Maple and C# programming language through connecting technique between Maple and C#. This program has been tested and appreciated completely.
  • Keywords
    courseware; inference mechanisms; information technology; knowledge representation; linear algebra; mathematics computing; problem solving; teaching; C# programming language; Maple; artificial intelligent; automatic problem solving system; inference algorithm; intelligent educational software; knowledge representation model; linear algebra; mathematics learning; mathematics teaching; Equations; Inference algorithms; Knowledge based systems; Mathematical model; Problem-solving; Vectors; Artificial intelligence; educational software; knowledge representation; knowledge studying; problem solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028733
  • Filename
    6028733