Research on the Application of Mathematical Software (Mathematica/GeoGebra) in Higher Vocational Mathematics Teaching
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Abstract
Improving the effectiveness of higher vocational mathematics education remains challenging due to diverse student backgrounds, limited learning motivation, and difficulties in understanding abstract mathematical concepts. To address these issues, this study investigates the application of Mathematica and GeoGebra in higher vocational mathematics teaching through a quasi-experimental approach. Two parallel classes were selected as experimental and control groups, respectively. The proposed teaching framework integrates conceptual visualization, computational demonstration, professional case modeling, and interactive exercises into the courses of Advanced Mathematics and Probability Theory. Teaching effectiveness was evaluated through academic performance, software task completion rates, online participation records, and questionnaire feedback collected over one academic year. Results indicate that students receiving software-assisted instruction achieved higher examination scores and demonstrated improved understanding of abstract mathematical concepts and application-oriented problem-solving abilities. The findings confirm that the integration of mathematical software enhances visualization, modeling capability, and analytical thinking. The proposed framework also provides educational support for mathematical modeling, signal analysis, and engineering computation in fields related to electromagnetic systems and communication technologies.
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References
I. Ko, P. Herbst, and M. Shultz, “Comparing how college mathematics instructors and high-school teachers recognize professional obligations of mathematics teaching when making instructional decisions,” Journal of Mathematics Teacher Education, vol. 27, no. 6, pp. 1055-1082, 2024, doi: 10.1007/s10857-023-09595-2.
J. Qiao and J. Yu, “Enhanced GDM Algorithms for College Mathematics Teaching Quality Evaluation Under Interval-Valued Intuitionistic Fuzzy Sets,” International Journal of Web-Based Learning and Teaching Technologies, vol. 19, no. 1, pp. 1-20, 2024, doi: 10.4018/IJWLTT.358748.
I. Xi L and I. Bo L, “Research and Practice of College Mathematics Teaching Mode under the Background of New Engineering,” Journal of nanchang hangkong university (Natural science edition), vol. 36, no. 4, pp. 134-138, 2022, doi: 10.3969/j.issn.2096-8566.2022.04.018.
B. Taley I, “College Students’ Perceived Teaching Presence in Emergency Remote Online Mathematics Teaching,” Journal of Research and Advances in Mathematics Education, vol. 7, no. 3, pp. 116-129, 2022, doi: 10.23917/jramathedu.v7i3.17589.
Z. Liu and H. Yin, “Optimization of mathematics teaching and learning for the treatment of anxiety disorders in college students,” CNS Spectrums, vol. 28, no. S2, pp. S22-S22, 2023, doi: 10.1017/S1092852923003036.
Z. Jiang, Y. Yang, X. Zhang, et al., “Teaching Consideration and Practice on the Connection of Mathematics at Senior High School and College,” Journal of Innovative Technology and Education, vol. 10, no. 1, pp. 1-5, 2023, doi: 10.12988/jite.2023.1030.
L. Wei and C. Li, “Uncovering Influencing Mechanisms and Practical Strategies for Teaching Effectiveness of College Mathematics General Education Courses: Evidence from SEM-fsQCA Hybrid Analysis,” Academic Journal of Emerging Technologies, vol. 2, no. 2, pp. 20-28, 2026, doi: 10.63313/AJET.9034.
B. Bukhatwa, A. Al Ruqeishi E N, and H. Al Khamisi F M, “The Usefulness of Technology-Based Interactive Methods in Teaching Mathematics and Statistics at the College Level,” Shanlax International Journal of Education, vol. 10, no. 3, pp. 30-40, 2022, doi: 10.34293/education.v10i3.4627.
C. Yijia, “Research and Practice of Mathematics Teaching in College Entrance Examination,” Academic Journal of Mathematical Sciences, vol. 4, no. 1, pp. 56-60, 2023, doi: 10.25236/AJMS.2023.040109.
X. Zeng and G. Tang, “The intervention effect of mathematics teaching model reform on social anxiety disorders of college students,” CNS Spectrums, vol. 28, no. S2, pp. S89-S89, 2023, doi: 10.1017/S1092852923004753.
X. Shen, “A classification method of College Mathematics MOOC teaching resources based on machine learning,” International Journal of Continuing Engineering Education and Life Long Learning, vol. 34, no. 4, pp. 314-326, 2024, doi: 10.1504/IJCEELL.2024.139944.