caa a22 4500 445829281 CHVBK 20180317145309.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s10639-009-9113-0 doi (NATIONALLICENCE)springer-10.1007/s10639-009-9113-0 Alian Marwah Isra Private University, Amman, Jordan aut Formalization and implementation of Eliminating and Optimizing Selection (EOS) approach [Elektronische Daten] [Marwah Alian] The main challenge of e-learning systems is to provide different courses to different students with different learning abilities. Such systems must also be efficient and adaptive. However, adaptivity can be accomplished by improving the ability to select dynamically an appropriate learning object for a specific learner. a framework for individualized learning object selection, called Eliminating and Optimizing Selection (EOS) was proposed by Liu and Greer (2004). In this paper, the EOS framework is further analyzed, implemented and experimented. As a result, a formalization for this framework has been suggested. The computational results of this approach have been compared to the selection results done by other specialists. Comparisons have shown its superiority in terms of producing more optimized selection of learning objects. Moreover, this approach has demonstrated its competitiveness in terms of the selected sequences of learning objects for different learners with different needs. Springer Science+Business Media, LLC, 2009 eLearning nationallicence EOS nationallicence Learning object nationallicence Optimized selection nationallicence Education and Information Technologies Springer US; http://www.springer-ny.com 16/1(2011-03-01), 89-103 1360-2357 16:1<89 2011 16 10639 https://doi.org/10.1007/s10639-009-9113-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10639-009-9113-0 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Alian Marwah Isra Private University, Amman, Jordan aut NATIONALLICENCE 773 0- Education and Information Technologies Springer US; http://www.springer-ny.com 16/1(2011-03-01), 89-103 1360-2357 16:1<89 2011 16 10639 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer