caa a22 4500 445829311 CHVBK 20180317145309.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10639-010-9125-9 doi (NATIONALLICENCE)springer-10.1007/s10639-010-9125-9 Atif Yacine College of Information Technology, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates aut An architectural specification for a system to adapt to learning patterns [Elektronische Daten] [Yacine Atif] 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. Springer Science+Business Media, LLC, 2010 Learning technology nationallicence Learning design nationallicence Learning personalization nationallicence Semantic web nationallicence Web Services nationallicence Education and Information Technologies Springer US; http://www.springer-ny.com 16/3(2011-09-01), 259-279 1360-2357 16:3<259 2011 16 10639 https://doi.org/10.1007/s10639-010-9125-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10639-010-9125-9 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Atif Yacine College of Information Technology, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates aut NATIONALLICENCE 773 0- Education and Information Technologies Springer US; http://www.springer-ny.com 16/3(2011-09-01), 259-279 1360-2357 16:3<259 2011 16 10639 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer