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PEDAGOGICAL CONDITIONS AND INFORMATION-DIDACTIC
PROVISION OF TEACHING THE SUBJECT “FUNDAMENTALS OF
ARTIFICIAL INTELLIGENCE” IN HIGHER EDUCATIONAL
INSTITUTIONS
Yaxyayev Sobir Jumakulovich
Deputy Director for Academic Affairs of the Karshi Branch of the Tashkent
University of Information Technologies named after Muhammad al-Khwarizmi,
Ph.D., Associate Professor
Annotation.
This article presents considerations on the necessity,
pedagogical conditions and information and didactic support of teaching the subject
“Fundamentals of Artificial Intelligence” in higher educational institutions.
Keywords:
artificial intelligence, fundamentals of artificial intelligence,
project-based education, problem-based learning, gamification, pedagogical
conditions, information and didactic support.
Introduction
. The rapid development of artificial intelligence (AI)
technologies in modern society is causing huge changes in various fields. Therefore,
teaching the subject “Fundamentals of Artificial Intelligence” in higher educational
institutions has become a pressing issue. The formation of pedagogical conditions and
improvement of information-didactic support for the effective teaching of this subject
are of great importance. This article analyzes the pedagogical aspects and
information-didactic support of teaching the subject “Fundamentals of Artificial
Intelligence”.
The need to teach the subject of fundamentals of artificial intelligence.
Today, artificial intelligence technologies are used in production, medicine,
transport, finance, education and many other areas. This subject should be taught in
higher education institutions for the following reasons:
Forming fundamental knowledge of modern technologies in students;
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Orientation to conducting new scientific research in the field of AI;
Training competitive and innovative specialists;
Explaining the ethical and legal aspects of artificial intelligence.
Pedagogical conditions.
The following pedagogical conditions are necessary
to organize an effective educational process in this subject: Use of innovative teaching
methods.
Along with traditional teaching methods, it is important to use the following
innovative methods:
Project-based learning - students gain practical experience by developing
projects based on AI.
Problem-based learning - students develop creative thinking skills by solving
problems related to artificial intelligence technologies.
Gamification - involving students in the learning process through game
elements.
Engineering thinking and algorithmic approach.
To develop algorithmic
thinking in students, it is necessary to effectively use programming languages and
artificial intelligence algorithms. Programming languages such as Python, R and
MATLAB serve as the main tools in this process.
Organization of laboratory and practical classes. Practical classes play an
important role in studying the basics of artificial intelligence. The following technical
bases are required to test AI algorithms:
Computers equipped with GPUs;
AI platforms such as TensorFlow, PyTorch;
Cloud computing systems for working with large amounts of data.
Information and didactic support.
Modern information resources and
didactic materials are necessary for the high-quality organization of the educational
process in science.
Electronic learning platforms. It is advisable to use platforms such as
Coursera, Udacity, edX, as well as local educational systems to deliver educational
materials.
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Interactive and multimedia resources. Interactive textbooks, simulators, visual
programs (Jupyter Notebook, Google Colab) on AI make it easier for students to
master the material.
Development of curricula and textbooks.
It is necessary to develop a
curriculum for higher education institutions consisting of the following components:
Theoretical foundations: History, classification, basic methods of artificial
intelligence;
Software: AI programming languages and libraries;
Practical exercises: Real projects and problem solving.
Conclusion.
Teaching the subject “Fundamentals of Artificial Intelligence”
in higher education institutions is one of the urgent issues for the modern education
system. Innovative teaching methods, a modern laboratory base, information and
didactic support, and interactive educational materials are important for organizing
an effective educational process in this subject. By providing students with high-
quality AI education, competitive and qualified specialists will be prepared in the
future.
REFERENCES
1. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
2. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach.
Pearson.
3. Chollet, F. (2018). Deep Learning with Python. Manning Publications.
4. Mishra, D., & Sinha, A. (2021). Artificial Intelligence in Education: Promises and
Implications for Teaching and Learning. Springer.
5. Resolution of the President of the Republic of Uzbekistan on the “Digital
Uzbekistan - 2030” Strategy of February 17, 2021.
6. Machine Learning for Education: Trends, Challenges, and Opportunities. Journal
of Educational Technology & Society, 2022.
7. Artificial Intelligence and Education: The Role of AI in the 21st Century Education
System. Journal of Education and Science, 2023.
