The Effects of Implementing Educational Software in Subject-Specific Mathematics Instruction

10th International Scientific Conference Technics, Informatics and Education – TIE 2024, str. 570-575

АУТОР(И) / AUTHOR(S): Snežana Gavrilović , Marija Mojsilović , Nebojša Denić , Jelena Stojanović , Kostadinka Stojanović 

Download Full Pdf  

DOI: 10.46793/TIE24.570G

САЖЕТАК /ABSTRACT:

In a modern educational context, educational software is becoming a key tool for enhancing mathematics teaching. Our study explores the effects of implementing such software on students’ achievements. The motivation for this research stems from the results of the PISA testing, which indicated below-average knowledge among our students. An analysis of factors influencing student achievements was conducted using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method, confirming the importance of educational software in improving students’ mathematical skills. Subsequently, an experiment was conducted over three school years, involving two groups of students. The first, experimental group utilized educational software as the primary tool for learning mathematics, while the second, control group continued with traditional teaching methods. Through carefully designed experimental protocols, data on student achievements were collected via various mathematics knowledge tests, as well as their satisfaction with both traditional teaching methods and interaction with the software. The research results demonstrate that students using educational software achieve significantly better results on mathematics knowledge tests and are more satisfied with their learning compared to the group taught using traditional methods. This study highlights not only the positive impact of educational software on mathematics achievements but also the need for further research and practice in integrating technology into teaching to achieve optimal educational outcomes.

КЉУЧНЕ РЕЧИ / KEYWORDS: 

Educational software; Mathematics; PISA testing; ANFIS method

ЛИТЕРАТУРА / REFERENCES

  1. Noroozi, D., Zameni, F., & Sharafzadeh, S. (2014). The Effect of Using Educational Software on Students’ Active Learning of Mathematics: A Constructivist Approach. Information and communication technology in educational sciences, 4(3 (15)), 5-23.
  2. Ćurčić, M., Milinković, D., & Radivojević, D. (2018). Educational Computer Software in the Function of Integrating and Individualization in Teaching of Mathematics and Knowledge of Nature. EURASIA Journal of Mathematics, Science and Technology Education, 14(12), em1607.
  3. Zaldívar-Colado, A., Alvarado-Vázquez, R. I., & Rubio-Patrón, D. E. (2017). Evaluation of using mathematics educational software for the learning of first-year primary school students.Education sciences, 7(4), 79.
  4. Ochkov, V. F., & Bogomolova, E. P. (2015). Teaching mathematics with mathematical software.Journal of Humanistic Mathematics, 5(1), 265-285.
  5. Zengin, Y., & Tatar, E. (2017). Integrating dynamic mathematics software into cooperative learning environments in mathematics.Journal of Educational Technology & Society, 20(2), 74-88.
  6. Verbruggen, S., Depaepe, F., & Torbeyns, J. (2021). Effectiveness of educational technology in early mathematics education: A systematic literature review.International Journal of Child-Computer Interaction, 27, 100220.
  7. Gavrilović, S., Denić, N., Petković, D., Živić, N. V., & Vujičić, S. (2018). Statistical evaluation of mathematics lecture performances by soft computing approach. Computer Applications in Engineering Education, 26(4), 902-905.
  8. OECD (1999). Measuring Students Knowledge and Skills – A New Framework for assessment, Paris
  9. Sugeno, M., & Kang, G. T. (1988). Structure identification of fuzzy model.Fuzzy sets and systems, 28(1), 15-33.
  10. Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE transactions on systems, man, and cybernetics, (1), 116-132.
  11. Petković, D., Gocić, M., & Shamshirband, S. (2016). Adaptive neuro-fuzzy computing technique for precipitation estimation.Facta Universitatis, Series: Mechanical Engineering, 14(2), 209-218.
  12. Nehat, D.; Keith Prenton, K.; Reka-Zogaj, F.; Shabani, A.; Thaqi, A.; Xhaferi, J. (2022) Razvoj Veština 21. veka u predmetu MATEMATIKE, Available online: http://kec-ks.org/wp-content/uploads/2016/06/BEP-Math_srb.pdf
  13. Stojanović, J., Petkovic, D., Alarifi, I. M., Cao, Y., Denic, N., Ilic, J., … & Milickovic, M. (2021). Application of distance learning in mathematics through adaptive neuro-fuzzy learning method. Computers & Electrical Engineering, 93, 107270.
  14. Zaldívar-Colado, A., Alvarado-Vázquez, R. I., & Rubio-Patrón, D. E. (2017). Evaluation of using mathematics educational software for the learning of first-year primary school students. Education sciences, 7(4), 79.