Towards a Recommendation Framework to Support Design of Lesson Plans in the iTEC Project

Manuel Caeiro-Rodríguez, Rubén Míguez-Pérez, Juan-Manuel Santos-Gago, Luis Anido-Rifón, and Manuel Fernández-Iglesias


Educational design, semantics, data models


This paper describes the approach taken by the European FP7 iTEC project to support the design of lesson plans in a multi-cultural heterogeneous environment. This approach is based on the use of semantic technologies to provide teachers with recommendations on the best resources available at and from their schools to support the requirements imposed by higher-level educational designs, named Learning Stories in iTEC terminology. The authors present the different data models proposed to describe the iTEC educational ecosystem and discuss the algorithms that drive the recommendation engine to offer proposals on the best tools and resources to support a specific lesson plan in a concrete school.

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