An architectural specification for a system to adapt to learning patterns
There has been numerous developments in education disciplines, which set fundamental approaches to support experiential learning indexes. On the other hand, learning technology research efforts have been largely focusing on containing education into reusable templates. This paper elevates this reusability quest to map advocated patterns of learning which have proven their pedagogical effectiveness, to guide domain learning-providers meeting dynamic learning profiles. In doing so, we identify sound techniques for learner-profiling based on recommended standards and propose an integration of learner attributes into a learning design model which encapsulates best practice instructional patterns. Taking their roots from behavioral learning discipline, these learning patterns mold contents as a separate process in learning production workflows. The goal of this paper is to form pedagogical pattern specification and design courseware by composing patterns. We suggest a semantic Web implementation of the proposed learning design approach and evaluate its usability and learning performance based on a prototyped framework.
learning technology learning design semantic web learning personalization web services