Towards an automatic monitoring for higher education Learning Design

: The development of new Information Technologies have originated new possibilities to develop pedagogical methodologies that provide the necessary knowledge and skills in the Higher Education. These technologies are built around the use of Internet and other new technologies, such as the Virtual education, Distance Learning or Longlife Learning. This paper presents a metadata-based model representation that is used to represent, detect, and even automatically correct possible pitfalls in the schedule process of a learning design in e-Learning environments. This metadata-based model can be combined with other Artificial Intelligence (AI) techniques, such as, automated AI planning/scheduling to monitor how is evolving a particular Learning Design (LD), and to propose solutions in those modules of the design that learning problems among the students have been found.

• Type: Journal
• Year: 2007
• Where: IJMSO
• Authors: David Camacho, María Dolores Rodríguez-Moreno
• Keywords: IJMSO 2007, Longlife Learning, Metadata-based Model, Metadata-based Model Representation