'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
Combining learning objects is a challenging topic
because of its direct application to curriculum generation,
tailored to the students' profiles and preferences. Intelligent
planning allows us to adapt learning routes (i.e. sequences of
learning objects), thus highly improving the personalization of
contents, the pedagogical requirements and specific necessities of
each student.
This paper presents a general and effective approach to
extract metadata information from the e-learning contents, a
form of reusable learning objects, to generate a planning domain
in a simple, automated way. Such a domain is used by an
intelligent planner that provides an integrated recommendation
system, which adapts, stores and reuses the best learning routes
according to the students' profiles and course objectives. If any
inconsistency happens during the route execution, e.g. the student
fails to pass an assessment test which prevents him/her from
continuing the natural course of the route, the systeGarrido, A.; Morales, L. (2014). E-Learning and Intelligent Planning: Improving Content Personalization. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje. 9(1):1-7. doi:10.1109/RITA.2014.2301886S179
