IJIET 2020 Vol.10(4): 304-308 ISSN: 2010-3689
doi: 10.18178/ijiet.2020.10.4.1380

The Research on the Construction of Primary Mathematics Corpus Based on MATTER Cycle Method

Bo Song, Rui-Fu Wang, and Xiao-Mei Li

Abstract—Mathematics is an important subject which is the basis of all sciences, especially primary maths is the most basic and practical. It not only helps students to grow up in the future, but also cultivates students’ psychological quality and mental flexibility. The study of mathematical language in primary schools can helps to improve the quality of teaching and deepens students’ understanding and application of maths. In view of the computer lack of corpus support in primary mathematics problem solving, this paper analyzes the exam questions, review questions and the relevant knowledge, and constructs the primary mathematics corpus by using MATTER cycle method. This research not only provides support for machine solving, but also provides material for the related research of primary maths knowledge.

Index Terms—Machine learning, mathematical language, corpus, MATTER cycle.

Bo Song and Rui-Fu Wang are with Software College of Shenyang Normal University, Shenyang, Liaoning, China (e-mail: songbo63@aliyun.com, 1642465067@qq.com).
Xiao-Mei Li is with Liaoning Basic Education Research and Training Center, Shenyang, Liaoning, China (e-mail: 1715500576@qq.com).

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Cite: Bo Song, Rui-Fu Wang, and Xiao-Mei Li, "The Research on the Construction of Primary Mathematics Corpus Based on MATTER Cycle Method," International Journal of Information and Education Technology vol. 10, no. 4, pp. 304-308, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net