A STUDY ON THE EFFECTS OF ARTIFICIAL INTELLIGENCE ON LEARNING COMPLEX FUNCTIONS THEORY
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Keywords:
Artificial Intelligence, Complex Numbers, Harmonic Functions, Graphics, MapleAbstract
Artificial Intelligence (AI) has rapidly transformed various aspects of our lives, and education
is no exception. With its ability to process vast amounts of data, recognize patterns, and make informed
decisions, AI is revolutionizing the way we approach learning complex subjects such as mathematics. In
this article, we explore the effects of AI on learning complex numbers, a fundamental topic in
mathematics that often poses challenges to students.
Complex numbers consist of a real part and an imaginary part, expressed in the form a + bi, where ' a '
represents the real part, 'b' represents the imaginary part, and 'i' represents the imaginary unit (√−1
).
Learning complex numbers involves understanding concepts like addition, subtraction, multiplication,
division, and complex plane representation. This topic can be abstract and challenging for students to
grasp initially.
First of all, let's make a small definition about artificial intelligence:
Artificial Intelligence (AI) refers to the field of computer science and technology that focuses on creating
intelligent machines capable of performing tasks that typically require human intelligence. AI systems are
designed to perceive their environment, reason and learn from the data or experiences, and make
informed decisions or take actions to achieve specific goals.
AI encompasses a range of techniques and methodologies, including machine learning, natural language
processing, computer vision, robotics, and expert systems. These approaches enable AI systems to
process and analyze vast amounts
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