Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…

The past century has seen spectacular gains in the breadth and depth of medical knowledge, but the potential of these gains has been hampered by a slow system of disseminating knowledge. Over the course of medical education numerous technologies and methods have been used to deliver continuing medical education (CME) to health care professionals…

Purpose: This article seeks to address the interface between individual learning facilitators that use course management systems (CMS) data to support decision-making and course design and institutional infrastructure providers that are responsible for institutional business intelligence. Design/methodology/approach: The design of a data warehouse…

Knowledge management in organizations, the learning objects paradigm, the advent of a new web generation, and the "Semantic Web" are major actual trends that reveal a potential for a renewed distance learning pedagogy. First and foremost is the use of educational modelling languages and instructional engineering methods to help decide…

Many researchers and practitioners contend that all institutions respond to changing market need and can create competitive advantage through innovation and creativity. Each year, institutions expend significant resources developing new products and processes and yet research shows that more than half these initiatives fail. Successful…