A framework for elearning with social media using DRM

This paper provides a proposal for personal e-learning system (PELS) architecture in the context of social network environment. The main objective of PELS is to develop individual skills on a specific subject and share resources with peers. Our system architecture defines organization and management of personal learning environment that aids in creating, verifying and sharing learning artifacts and making money at the same time. We also focus on in our research one of the most interesting arenas in digital content or document management called Digital Right Management (DRAM) and its application to eLearning.

vPELS : an eLearning social environment for VLSI design with content security using DRM

This paper provides a proposal for personal e-learning system (vPELS) architecture in the context of social network environment for VLSI Design. The main objective of vPELS is to develop individual skills on a specific subject, say, VLSI and share resources with peers. Our system architecture defines organization and management of personal learning environment that aids in creating, verifying and sharing learning artifacts and making money at the same time. We also focus on in our research one of the most interesting arenas in digital content or document management called Digital Right Management (DRAM) and its application to eLearning.

vPELS : An e-learning social environment for VLSI design with content security using DRM

This article provides a proposal for personal e-learning system (vPELS [where 'v' stands for VLSI: very large scale integrated circuit])) architecture in the context of social network environment for VLSI Design. The main objective of vPELS is to develop individual skills on a specific subject - say, VLSI - and share resources with peers. The authors' system architecture defines the organisation and management of the personal learning environment in such a way as to aid in creating, verifying and sharing learning artefacts and making money at the same time. The authors also focus in their research on one of the most interesting arenas in digital content or document management - Digital Rights Management (DRM) - and its application to e-learning.

eLearning content authentication using bipartite matching

Content authenticity and correctness is one of the important challenges in eLearning as there can be many solutions for one specific problem in the cyber space. Therefore, we feel the necessity of mapping problem to solutions using graph partition and weighted bipartite matching. This paper presents a novel architecture and methodology for a personal eLearning system called PELS that is developed by us. We also present an efficient algorithm to partition question-answer (QA) space and explore best possible solution to a particular problem. Our approach can be efficiently applied to social eLearning space where there is one-to-many and many-to-many relationship with a level of bonding. The main advantage of our approach is that we use QA ranking by adjusted edge weights provided by subject matter experts (SME) or expert database. Finally, we use statistical methods called confidence interval and hypothesis test on the data to check the reliability and dependability of the quality of results.