Generation, testing and recommendation of teaching materials using classification learning

The study focuses on problems related to the application of Artificial Intelligence (AI) in HumanComputer Interaction (HCI) for Educational Adaptive Hypermedia (EAH). It analyses how to apply Machine Learning (ML) techniques to support teachers in authoring teaching materials. AI principles and techniques are applied to the generation, testing and recommendation of teaching materials (computer network topologies), as a way to providing Web-based help. It also studies the use of teacher-related data to support the recommendation of teaching materials and the adaptation of Webbased help. The subject of application of this study is teaching decision-making skills in network design.