The study emphasizes personality development, the development of students' emotional intelligence, facilitation learning (the creation an atmosphere that stimulates learning), when it seeks answer to "how, why a student learns and how looks feels from inside". Research conducted among students at Milton Friedman University will be presented, regarding they think about motivation, their traits i...

Background: E-learning and telemedicine have become common methods in changing and developing medical education and clinical processes. The purpose of this study was to describe the innovations of blending e-Learning into the educational and medical processes of hospital services Methods: The process of action research included plan, act, observation and reflection was followed. Implementation,...

With the current availability of state-of-the-art technology, particularly the Internet, people have expanded their channels of communication. This has similarly led to many people utilizing technology to learn second/foreign languages. Nevertheless, many current computer-assisted language learning (CALL) programs still appear to be lacking in interactivity and what is termed social presence, w...

In this work, we studied the online blended learning model of computer network experimentation, focusing mainly on problem traditional experiments being limited by location and time, explore applicability small private course (SPOC) advanced teaching concepts to experiment teaching. Based structure a combination virtual real, real not virtual, an platform management system has been designed con...

In this paper we report our efforts to elicit an understanding of drivers and barriers for participation in a Web2.0 online community platform to support the unique collection of virtual collaboration requirements inherent in inter-organization, cross-cultural, and cross-discipline team environments that comprise the Atlantis community. Atlantis is a grant program to stimulate and fund the orga...

Most of the performance bounds for on-line learning algorithms are proven assuming a constant learning rate. To optimize these bounds, the learning rate must be tuned based on quantities that are generally unknown, as they depend on the whole sequence of examples. In this paper we show that essentially the same optimized bounds can be obtained when the algorithms adaptively tune their learning ...

Massive Open Online Courses (MOOCs) as a new shaking educational development provide the scene for achieving social inclusion and dissemination of knowledge. Anyhow, facilitating network learning experiences through creating an adaptive learning environment can pave the way for this open and energetic way to learning. The present study aimed to explore the possible role of Dynamic Assessment (D...