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Full-Text Articles in Physical Sciences and Mathematics
Advances Of Scientific Research On Technology Enhanced Learning In Social Networks And Mobile Contexts: Towards High Effective Educational Platforms For Next Generation Education, Leyla Zhuhadar, Miltiadis Lytras, Jacky Xi Zhang, Eugenius Kurilovas
Advances Of Scientific Research On Technology Enhanced Learning In Social Networks And Mobile Contexts: Towards High Effective Educational Platforms For Next Generation Education, Leyla Zhuhadar, Miltiadis Lytras, Jacky Xi Zhang, Eugenius Kurilovas
Information Systems Faculty Publications
This editorial presents the latest advances of scientific Research on Technology enhanced learning in social networks and mobile contexts. It summarizes the key finding and promotes three main pillars for future scientific contribution to the domain namely: Enabling Technologies, Educational Strategies, and Next Generation Social Networks for Educational Purposes. It can serve as a position document for scientific debate fostering international collaboration and empirical research in the various aspects of the well-defined agenda. It can also serve as a reference edition for researchers interested in the adoption of Social Networks, in the Education Sector.
Visual Knowledge Representation Of Conceptual Semantic Networks, Leyla Zhuhadar, Olfa Nasraoui, Robert Wyatt, Rong Yang
Visual Knowledge Representation Of Conceptual Semantic Networks, Leyla Zhuhadar, Olfa Nasraoui, Robert Wyatt, Rong Yang
Information Systems Faculty Publications
This article presents methods of using visual analysis to visually represent large amounts of massive, dynamic, ambiguous data allocated in a repository of learning objects. These methods are based on the semantic representation of these resources. We use a graphical model represented as a semantic graph. The formalization of the semantic graph has been intuitively built to solve a real problem which is browsing and searching for lectures in a vast repository of colleges/courses located at Western Kentucky University1. This study combines Formal Concept Analysis (FCA) with Semantic Factoring to decompose complex, vast concepts into their primitives in order to …