FROM PLANNING TO ASSESSMENT: THE IMPACT OF AI ON THE EDUCATIONAL PROCESS

Abstract

This paper examines the various stages of the teaching-learning lifecycle, from initial planning to assessment and continuous refinement. Each phase - planning, creation of educational content, tutoring, assessment, and iteration - is discussed in the context of the increasing role of Artificial Intelligence (AI), emphasizing how it has been used to automate and streamline formerly manual pedagogical tasks. The study aims to identify effective strategies and AI-based tools that support educators at each stage of the educational process. The adopted methodology includes a literature review of current research, complemented by a survey conducted with dozens of higher education teachers, collecting insights on their use and perception of AI in educational practice. Findings indicate widespread use of tools such as intelligent tutoring systems, automatic content generators, and adaptive assessment platforms, as well as strong interest in personalized learning with AI. The concluding discussion provides practical recommendations for the strategic integration of AI across the educational cycle.