Personalized Learning through Machine Teaching and Machine Learning: Enhancing Adaptive Educational Systems

Machine teaching, as a new approach to artificial intelligence, focuses on the purposeful design and selection of educational data to optimize the learning process. When it comes to human education, the quality of educational data plays a fundamental role in identifying and enhancing those individual characteristics of students that have the greatest impact on their learning path. This article demonstrate the role of machine teaching in personalize learning and highlights the importance of selecting data that can reveal students’ strengths and weaknesses in various skills. The results show that, in addition to accelerating his learning process, a strategic and optimal data design can provide personalized educational paths and help teachers make more effective educational decisions.