A COMPARATIVE ANALYSIS OF TRADITIONAL AND MODERN METHODOLOGIES FOR TEACHING AI AND ROBOTICS

Abstract

The education sector has seen significant evolution in recent years with
the inclusion of advanced fields like Artificial Intelligence (AI) and Robotics in
school curricula. This paper aims to compare and contrast traditional and modern
methodologies used for teaching these subjects, with a focus on the effectiveness,
challenges, and outcomes for students. Traditional methodologies often involve
lectures, textbooks, and theoretical knowledge dissemination, while modern
approaches leverage hands-on learning, project-based learning, and interactive tools.
The paper examines how these methodologies impact student engagement, learning
outcomes, and the development of critical skills necessary for future careers in AI
and Robotics.