The rapid advancement of new technologies is transforming the traditional learning landscape. The COVID-19 pandemic underscored the need for innovative digital tools and adaptive learning environments [1]. The integration of Artificial Intelligence (AI) into education is reshaping how students learn and how educators teach. This article investigates how a Digital Teaching Assistant (DTA) can be structured through the integration of a Teacher Model and a Student Model, both of which enhance adaptive and personalized learning experiences. The Teacher Model provides personalized recommendations and instructional support for educators, while the Student Model dynamically adapts learning activities to address the individual needs of students. The combined use of these models enhances teaching, fosters critical thinking, and promotes student autonomy. Furthermore, the study integrates practical examples from recent research to demonstrate the effectiveness of digital assistants in real-world educational settings, reinforcing their potential for integration into modern classrooms.