Artificial Intelligence in the Implementation of Didactic Principles in a Novel Mobility Platform: The Case of the eMediator Project

Artificial Intelligence (AI) can support educational platforms in many ways: personalizing a learning process, supporting assessment and content organization, and assisting students. Its implementation in dedicated environments, such as the educational mobility platform, can help designers create a versatile environment that meets the requirements of learners and teachers. The article aims to identify how Artificial Intelligence can aid the educational processes ruled by eight didactic principles. The principles govern the instructional design process and optimize the learning process. The study involves use cases for each didactic principle and their qualitative analysis to find how AI could aid in achieving the didactic principles. The results indicate that AI can facilitate the realization of didactic principles in educational endeavors in three key aspects: personalized learning content, individual assessment, and providing meaningful interactions. Moreover, algorithms can verify their realization in a faster and more accurate manner in comparison to human-driven educational processes.