College Mathematics Teaching Method Based on Big Data

Authors

  • Limin Cui Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology
  • Yonglong Liao Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology
  • Ying Wang Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology
  • Xiaoyan Dong Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology

DOI:

https://doi.org/10.3991/ijet.v14i13.10708

Keywords:

big data, mathematics, teaching design, evaluation

Abstract


With the aid of big data technology, this paper enumerates the existing problems of college mathematics teaching, and designs a big data-based method for mathematics teaching among college students. The student-centered design method highlights the evaluation of learning effects, making both teaching and learning more efficient. The method was applied to the teaching reform in an actual college and achieved good results. The research findings shed new light on the mathematics teaching and learning in colleges.

Author Biographies

Limin Cui, Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology

Limin Cui is currently a lecturer in the Department of Mathematics and Physics at Beijing Institute of Petrochemical Technology, China. She received the B.Sc. Degree in College of Science at Qiqihaer University, the M.Sc degrees in College of Science at University of Science & Technology Beijing, and the Ph.D. degree in Computer Science at Hong Kong Baptist University. Her research focuses on machine learning, monifold learning and wavelet analysis. She has been teaching university mathematics courses, including Advanced Mathematics, Linear Algebra, Probability Theory and Mathematical Statistics. She also served as Vice Dean of the department. In order to improve the learning effect of students, she has been trying to implement teaching reform.

Yonglong Liao, Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology

Yonglong Liao is currently a lecturer in the Department of Mathematics and Physics at Beijing Institute of Petrochemical Technology, China. He received the B.Sc. Degree in Mathematics and Applied Mathematics from Tangshan Normal University, and the Ph.D. degree in General Mechanics and Mechanics Foundation at University of Science & Technology Beijing. His research interests include preview control and delay systems. He has been teaching university mathematics courses, including Operations Research and Optimization, Linear Algebra, Probability Theory and Mathematical Statistics.

Ying Wang, Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology

Ying Wang is a lecturer in the Department of Mathematics and Physics at Beijing Institute of Petrochemical Technology, China. She received the Ph.D. Degree from the School of Mathematics and Statistics at Central South University. Her research focuses on random process. She is interested in instructional design.

Xiaoyan Dong, Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology

Xiaoyan Dong is currently an associate professor in the Department of Mathematics and Physics at Beijing Institute of Petrochemical Technology, China. She received the B.Sc. Degree and the M.Sc degree in College of Mathematics at Northwest Normal University . Her research focuses on improving the learning effect of students. She has been teaching university mathematics courses, including Advanced Mathematics, Probability Theory and Mathematical Statistics.

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Published

2019-07-15

How to Cite

Cui, L., Liao, Y., Wang, Y., & Dong, X. (2019). College Mathematics Teaching Method Based on Big Data. International Journal of Emerging Technologies in Learning (iJET), 14(13), pp. 47–58. https://doi.org/10.3991/ijet.v14i13.10708

Issue

Vol. 14 No. 13 (2019)

Section

Papers

License

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