This article discusses the use of artificial intelligence (AI) technologies in teaching computer mathematical systems. The effectiveness of AI-based modeling and simulation technologies in the educational process is analyzed. The possibilities of increasing the interactivity, visualization and quality of the educational process using artificial intelligence tools are also considered. It is argued that the integration of AI technologies with computer mathematical systems such as Mathematica, MATLAB, Maple, GeoGebra and Desmos significantly increases the effectiveness of education.
Application of Artificial Intelligence Technologies in Teaching Computer Mathematical Systems Science
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Keywords:
Artificial intelligence
computer-based mathematical systems
modeling
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References
Turanovich, SM (2022). Status and analysis of teaching information technology in students on the basis of computer simulation models. Asian Journal of Research in Social Sciences and Humanities, 12(4), 13-19.
Lutfullaev, MH, & Shodmonkulov, MT Methods Of Teaching The Subject "Information Technologies" Based On Computer Simulation Models. Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN, 2458-9403.
Turanovich, SM, Ugli, DII, Ugli, MMM, & Mamarasulovich, MK (2021). THEORETICAL BASIS OF APPLICATION OF COMPUTER IMITATION MODELS IN TEACHING TYPES OF COMPUTER GRAPHICS. Galaxy International Journal of Interdisciplinary Research, 9(7), 10-13.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
Turanovich, SM (2021). TECHNOLOGIES OF USING COMPUTER IMITATION MODELS IN EDUCATION. In Archive of Conferences (pp. 95-99).
Shodmonkulov, MT (2022). Application of the discipline of "information technologies in education" as a teaching tool based on modern electronic information and educational resources in the process of digitization. Physics, Mathematics and Informatics. Scientific Journal.
Otamuratov, OT, & Shodmonqulov, MT (2017). DEVELOPMENT OF DISTANCE EDUCATION IN CENTRAL ASIAN COUNTRIES. Internauka , (6-2), 45-47.
Shodmonkulov, MT (2023). Formation and Development Factors in the Digital Education Process. American Journal of Engineering, Mechanics and Architecture (2993-2637), 1(8), 94-96.
Schmidhuber, J. (2015). "Deep Learning in Neural Networks: An Overview." Neural Networks, 61, 85-117.
Rumelhart, DE, Hinton, GE, & Williams, RJ (1986). "Learning representations by back-propagating errors." Nature, 323(6088), 533-536.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). "Deep learning." Nature, 521(7553), 436-444.
Usmonovna, SN (2023). FORMATION OF DESIGN SKILLS IN CIVIL ENGINEERS USING THE INTEGRATION OF APPLICABLE SOFTWARE TOOLS. Science and innovation, 2(Special Issue 10), 206-209.
Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018). Foundations of Machine Learning. MIT Press.
Murphy, KP (2012). Machine Learning: A Probabilistic Perspective. MIT Press.
Shodmonkulov MT Studying computer graphics topics through simulation teaching method// Scientific and methodological journal of Physics, Mathematics and Informatics. –Tashkent, 2021. No. 3 –P. 90-98.
ChorshanbiyevCh.I. Theoretical foundations of the use of simulation models in education based on the integration of information technologies// Scientific and methodological journal of Physics, Mathematics and Informatics. –Tashkent, 2023. No. 5–P. 135-140. (13.00.00 No. 2)
Chorshanbiyev Ch.I. Visualization of mathematical concepts using innovative technologies// Scientific and Theoretical Journal of Scientific Information of Tashkent State Pedagogical University. –Tashkent, 2024. No. 10 –B 30-37.
Chorshanbiyev Ch.I. Study of the integration of software tools and their adaptation to educational processes.// COLLECTION of materials of the Republican scientific and practical conference on the topic "DIGITAL TECHNOLOGIES IN SUSTAINABLE DEVELOPMENT OF THE ECONOMY: PROBLEMS, INNOVATION AND SOLUTIONS" Samarkand April 18-19, 2024 pp. 372-376.
Kholjigitov DX Software and methodological support for the development of students' competencies in working with mathematical systems . VOCATIONAL EDUCATION scientific-methodical, practical, educational magazine 2025, Issue 10