Smart Education, Robot-Prof: Principles of Programming for Personalized Pedagogy

This paper explores the concept of smart education and proposes substituting traditional human teachers with recent technological advancements, particularly those based on artificial intelligence (AI). It outlines the inherent limitations of human-led teaching, such as physiological needs, human interactions, and personal constraints, and discusses how emerging technologies like AI can overcome these constraints. Additionally, it examines the deficiencies of machine-led teaching and emphasizes the necessity of integrating educational robots (RoboProf) into the educational system, especially in light of challenges posed by events like the Covid-19 pandemic. The working environment of RoboProf and its architecture, which integrates databases for personalized and adaptive teaching, are also discussed.