Research on Personalized Mathematics Intelligent Tutoring System

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)

Abstract

To meet the requirement of high-quality and personalized mathematics tutoring service, a Mathematics Intelligent Tutoring System (MITS) is developed for middle school student based on three-tier client/server architecture. And ontology is introduced to the model of knowledge to express the concepts and their relations in learning experience. According to the learning experience of the learners, the MITS can provide the personalized, comprehensive and systematic tutoring information such as personalized guidance, analysis and detailed answers, etc. Using MITS for a period of time, learners can improve their abilities in solving problem and drawing inferences about other cases from one instance.

Keywords

Personalized service Mathematics intelligent tutoring system Architecture Ontology based knowledge model 

Notes

Acknowledgements

This work has been supported by the special funds for major technological innovation projects established by the Department of Science and Technology of Shaanxi, China (No.2010ZKC02-14).

References

  1. 1.
    Yalcinalp S, Gulbahar Y (2010) Ontology and taxonomy design and development for personalism web-based learning systems. Br J Educ Technol 41(6):883Google Scholar
  2. 2.
    Ramos C, Frasson C, Ramachandran S (2009) Introduction to the special issue on real world applications of intelligent tutoring systems. IEEE Trans Learn Technol 2(2):62Google Scholar
  3. 3.
    Mendicino M, Razzaq L, Heffernan NT (2009) A quasi-experimental evaluation of an on-line formative assessment and tutoring system. J Res Technol Educ 41(3):331Google Scholar
  4. 4.
    Aleven V, McLaren BM, Sewall J (2009) A new paradigm for intelligent tutoring systems: Example-tracing tutors. IEEE Trans Learn Technol 2(2):64Google Scholar
  5. 5.
    Papadimitriou A, Gyftodimos G, Grigoriadou M (2009) MATHEMA: A constructivist enrollment for electromagnetism learning. 2009 ninth IEEE international conference on advanced learning technologies, vol 12, p 453Google Scholar
  6. 6.
    Melis E, Goguadze G, Homik M et al (2006) Interactive concept mapping in active. Br J Educ Technol 37(3):405–423Google Scholar
  7. 7.
    Gaeta M, Orciuoli F, Ritrovato P (2009) The learning grid handbook concepts, technologies and applications. Knowl Based Syst 22(4):292Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of Mechanical & Electronical EngineeringXidian UniversityXi’anChina

Personalised recommendations