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Research and Practice on the Teaching Reform of Probability Theory and Mathematical Statistics Based on Knowledge Visualization

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DOI: 10.23977/trance.2023.050709 | Downloads: 9 | Views: 188

Author(s)

Lin Hang 1, Pan Junyang 1, Guo Dunhui 1, Chen Yao 1

Affiliation(s)

1 Guilin Tourism University, Guilin, 541004, China

Corresponding Author

Lin Hang

ABSTRACT

The main research object of the course of probability theory and mathematical statistics is relatively abstract random phenomena, which requires students to have strong thinking level and learning ability. Due to the special nature of the course of probability theory and mathematical statistics, it is difficult for students to have an intuitive and profound understanding of the corresponding knowledge points in the course.Practice has proved that the visualization teaching method using Matlab, Office PowerPoint and Office Excel software as tools in the course of Probability Theory and Mathematical Statistics can convert "abstract" into "intuitive" to a large extent.The high requirement for students' "thinking level" is transformed into a low requirement for "observation ability", and the learning efficiency of the course "Probability Theory and Mathematical Statistics" is greatly improved.

KEYWORDS

Teaching reform; probability theory; mathematical statistics; visual teaching

CITE THIS PAPER

Lin Hang, Pan Junyang, Guo Dunhui, Chen Yao, Research and Practice on the Teaching Reform of Probability Theory and Mathematical Statistics Based on Knowledge Visualization. Transactions on Comparative Education (2023) Vol. 5: 59-67. DOI: http://dx.doi.org/10.23977/trance.2023.050709.

REFERENCES

[1] Deng Guangming, He Baozhu, Liu Xiaoping, Jia Zhen.Probability Theory and Mathematical Statistics [M]. Hunan Normal University Press, 2013.
[2] Wu Xinjun, Guo Zhen, Pan Dong.Exploration and research on the teaching reform of Probability Theory and Mathematical Statistics [J]. University Education, 2021(10):125-127.
[3] Yang Li, Jiang Ruixia. Visual interactive teaching mode in the experimental teaching of mathematics application [J]. Journal of transformer, 2020, 57 (4): 98. DOI: 10.19487 / j.carol carroll nki. 1001-8425.2020.04.031.
[4] Chen Shan. Visual Comparative Analysis of Teaching design research at home and abroad [D]. Henan Normal University, 2013.
[5] Eppler, M. J. & Burkard, R.A. Knowledge Visualization. Towards a New Discipline and its Fields of Application, ICA Working Paper #2/2004[R]. University of Lugano, Lugano, 2004.
[6] R. A. Burkard. Learning from Architects: The Difference between Knowledge Visualization and Information Visualization; Proc. Eigth International Conference on Information Visualization (IV04), London, July, (2004b).
[7] Bera P, Burton-Jones A, Wand Y. Guidelines for Designing Visual Ontologies to Support Knowledge Identification [J]. Mis Quarterly, 2011, 35(4):883-908.
[8] Bruzelius, C. Teaching with visualization technologies how does information become knowledge? Material Religion, 2013, 9(2):246-253.
[9] Yuan Guomin, Zhou Ning. Comparative study on Information visualization and Knowledge visualization [J]. Science and Technology Information Development and Economy, 2006, 57 (3): 359-377.

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