Resumen de Automatic course redesign: global vs. Individual adaptation

D. Camacho, Estrella Pulido , M. D. R. Moreno, Rosa María Carro Salas , Álvaro Ortigosa , Javier Bravo

• The current state of educational technologies allows the design of a new kind of tools and frameworks that can use well known Artificial Intelligence (AI) techniques, such as Planning and Scheduling, to improve some aspects of the educational process. The quality of virtual education courses can be improved by automatically detecting flaws and providing alternatives, or solutions, to the educational designers. Nowadays, most educational platforms are designed to aid educators in both designing the course contents and controlling interactions with students. We propose a new AI-based approach that could be used by educators to monitor, measure and detect problems in their deployed courses. We describe the main issues related to AI techniques and e-Learning technologies, and how Longlife Learning processes and problems can be represented, detected and managed by using an integration of planning and scheduling techniques.