The Correlation between Mathematics and Physics Achievement of Senior High School Students


  • Chen Jihe Guangxi Normal University
  • Jerito Pereira Guangxi Normal University
  • Xinxin Li Guangxi Normal University
  • Ying Zhou Guangxi Normal University
  • Maximus Tamur Universitas Katolik Indonesia Santu Paulus Ruteng
  • Syaharuddin Syaharuddin Universitas Muhammadiyah Mataram



Achievement, Correlation, Mathematics, Physics


Physics and mathematics are the two most closely related natural rudimentary subjects. In physics, students often need to rely on rigorous mathematical reasoning and argumentation and use various mathematical methods for investigation, reasoning, calculus, test, and discussion, but students often appear in these difficulties. This research aims to explain the influence of mathematics achievement on physics achievement from the high school mathematics achievement and physics achievement. The results of math and physics in the first semester of 6 classes of senior high school student's grade 12 were selected, and the data were analyzed with SPSS.22 software, and three students of different learning abilities were interviewed in detail. The innovation of this paper lies in the use of hierarchical research methods to compare classes of mathematics achievement and physics achievement. The conclusions are (1) in objective level, there is a positive linear relationship between math achievement and physics achievement; (2) on the subjective level, students accept the view that the performance of mathematics can promote the performance of physics; students' subjective cognition will affect their cognitive structure and learning behavior, to actively seek for the relationship between mathematical knowledge and physical knowledge, and then slowly affect the objective level of students, and then in mathematics and physics performance, and (3) applying mathematical thinking to physics learning can improve the efficiency of learning physics. Use mathematical knowledge of trigonometry to solve the force analysis problem of physical movement. The finding shows that math scores play a significant role in physics scores. Remind us that in teaching, we should pay attention to the integration of mathematical ideas into physics learning and help students learn physics knowledge better with mathematical ideas.


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Ayalon, M. (2019). Exploring changes in mathematics teachers ’ envisioning of potential argumentation situations in the classroom. Teaching and Teacher Education, 85, 190–203.

Barham, P. J. (2012). An analysis of the changes in ability and knowledge of students taking A-level physics and mathematics over 35 years. Physics Education, 47(2), 162–168.

Brown, G. T. (2017). Doctoral education in quantitative research methods: Some thoughts about preparing future scholars. Frontiers in Applied Mathematics and Statistics, 3, 25.

Chen, J., Zhao, Q., & Huang, Y. (2021). Research On The Correlation Between Mathematics And Physics Of The Senior High School Students. Mathline : Jurnal Matematika Dan Pendidikan Matematika, 6(1), 70–80.

Crespo, S., & Harper, F. K. (2020). Learning to pose collaborative mathematics problems with secondary prospective teachers. International Journal of Educational Research, 102(July 2018), 101430.

Högskola, S., & Turner, L. E. (2020). Cultivating a research imperative : Mentoring mathematics at. Historia Mathematica, 50, 50–83.

Juandi, D., Tamur, M., Adem, A. M. G., & Pereira, J. (2020). A meta-analysis of the effects of problem-based learning on students ’ creative thinking in mathematics. 13(229), 104–116.

Kareem, M. A., & Hussin, I. J. (2013). The Impact of Human Resource Development on Employee Performance and Organizational Effectiveness. Management Dynamics in the Knowledge Economy, 7(3), 307–322.

Kent, D. (2008). The Mathematical Miscellany and The Cambridge Miscellany of Mathematics : Closely connected attempts to introduce research-level mathematics in America, 1836 – 1843. 35, 102–122.

Middleton, J. A., Cai, J., & Hwang, S. (Eds.). (2015). Large-scale studies in mathematics education. Springer.

Papadopoulos, I. (2019). Using mobile puzzles to exhibit certain algebraic habits of mind and demonstrate symbol-sense in primary school students. Journal of Mathematical Behavior, 53(September 2017), 210–227.

Pereira, J., Huang, Y., Chen, J., Hermita, N., & Tamur, M. (2020). Learning the Concept of Absolute Value with Hawgent Dynamic Mathematics Software. 16(2), 160–169.

Pereira, J., Tan, S., Li, L., & Purnama, A. (2020). Developing A Mathematics Learning Media to Explain Formula Of Area of Kite Using Hawgent. Indonesian Journal of Science and Mathematics Education, 3(3), 272-281.

Pereira, J., Wijaya, T. T., Zhou, Y., & Purnama, A. (2021, May). Learning points, lines, and plane geometry with Hawgent dynamic mathematics software. In Journal of Physics: Conference Series (Vol. 1882, No. 1, p. 012057). IOP Publishing.

Puteh, F., Hanafi, M., & Azman, B. (2017). Quantitative Data Analysis : Choosing Between SPSS, PLS, and AMOS in Social Science Research. February 2018.

Putra, A., & Heriyanto. (2020). Analysis of student’s understanding about Newton’s laws, in terms of perceptions to learning in senior high school. Journal of Physics: Conference Series, 1481(1).

Sari, I. P., Sutarto, Mudakir, I., Supeno, & Budiarso, A. S. (2020). Instructional materials for optical matter based on STEM-CP (Science, Technology, Engineering, Mathematics-Contextual Problem) to increase student critical thinking skills in high school. Journal of Physics: Conference Series, 1563(1).

Stapleton, P. (2011). A survey of attitudes towards critical thinking among Hong Kong secondary school teachers : Implications for policy change. Thinking Skills and Creativity, 6(1), 14–23.

Tam, H., Kwok, S. Y. C. L., Hui, A. N. N., Chan, D. K., Leung, C., Leung, J., Lo, H., & Lai, S. (2021). Children and Youth Services Review The significance of emotional intelligence to students ’ learning motivation and academic achievement : A study in Hong Kong with a Confucian heritage. Children and Youth Services Review, 121(July 2020), 105847.

Wang, X., Lee, Y., Lin, L., Mi, Y., & Yang, T. (2021). Analyzing instructional design quality and students ’ reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses. The Internet and Higher Education, 50(January 2020), 100810.

Xu, C., Wu, L., & Wang, S. (2020). Unsupervised Dimension Reduction for Image Classification Using Regularized Convolutional Auto-Encoder. In Advances in Intelligent Systems and Computing (Vol. 943, Issue 28). Springer International Publishing.

Yopp, D. A. (2011). The Journal of Mathematical Behavior How some research mathematicians and statisticians use proof in undergraduate mathematics. Journal of Mathematical Behavior, 30(2), 115–130.