A Characterization of Composition and Execution Languages for Complex Learning Processes

J. Torres (Mexico), J.M. Dodero, I. Aedo, and P. Díaz (Spain)


Complex Learning Processes, Learning Design, Composition Language for Complex Learning Processes.


In order to face up challenges that are suggested by current and future technology-supported learning systems, it is essential to be able to integrate new educational methods in running learning processes, especially in complex ones, in a flexible way. A complex learning process (CLP) is understood as the result of the dynamic and unanticipated integration of diverse pedagogical approaches in a learning process, based on the collaboration between instructors and learners. Many research efforts have been oriented towards the development of contents, meta-data semantic descriptions, and interoperability architectures for applications. Nevertheless, less attention has been paid to the increased capacity of technologies for the design and execution of CLP that can be adaptable to the demands of concrete educational contexts. At the present time, there is an incipient interest in this direction, for example with IMS Learning Design. Besides these praiseworthy efforts, it is also important to take a step further towards attaining more flexibility, both in technological and pedagogical contexts. Our vision is focused on the development of Learning Processes Execution and Composition Languages (LPCEL), which can facilitate the dynamic and unanticipated composition of distributed learning objects. This work presents a characterization of this family of languages, so that it can be a reference for the development of related technologies.

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