Conceptual blending is a mental process that serves a variety of cognitive purposes, including human creativity. In this line of thinking, human creativity is modeled as a process that takes different mental spaces as input and combines them into a new mental space, called a blend. According to this form of combinational creativity, a blend is constructed by taking the commonalities among the i...

The Emerging Student Experience What we think of as cutting-edge learning technologies today differ significantly from just a decade ago. Students themselves are changing, too, as their practices are shaped by the technological environment.1 A majority of today's college students would probably not first associate cut-and-paste with scissors and glue; for them technologies like digital cameras ...

Multi-user virtual environments (MUVEs), used in training, entertainment and education, had been a reality for several years now, allowing users to perform collaborative activities using virtual settings and virtual objects. Nowadays, technological advances are opening the possibility of integrating multiuser virtual environments with so-called ubiquitous virtual reality (U-VR); extending and c...

The present paper starts with a crucial discussion about the imbalance between technological and human concerns in the context of human-computer interaction, an imbalance that has arisen partly from the mechanistic aspect and its impact on interaction design. We then introduce the concept of Blended Reality Space, interactive mixed reality environments where the physical and the virtual are sea...

In this paper, we illustrate our methodology for academic teaching, based on cooperative learning paradigm, which also relies on cutting edge elearning techniques. We use Web 2.0 resources to fulfill requirements for an interactive-constructivistic “learning space”, where blended-teaching paradigm may be proficiently applied. We extend an existing Free/Open Source Software Learning Management S...

This paper describes the design of sinuous antenna reflector feeds using blended rational interpolation. The blended rational interpolation method is developed to interpolate a sparse set of high-fidelity (HF) data while following the trends of a denser set of low-fidelity (LF) data. The HF data are obtained by full-wave computational electromagnetics simulations of the input impedance of a pyr...

In this paper, we illustrate our methodology for academic teaching, based on cooperative learning paradigm, which also relies on cutting edge elearning techniques. We use Web 2.0 resources to fulfill requirements for an interactive-constructivistic “learning space”, where blended-teaching paradigm may be proficiently applied. We extend an existing Free/Open Source Software Learning Management S...

A major challenge in contemporary data science is the development of statistically accurate particle filters to capture non-Gaussian features in large-dimensional chaotic dynamical systems. Blended particle filters that capture non-Gaussian features in an adaptively evolving low-dimensional subspace through particles interacting with evolving Gaussian statistics on the remaining portion of phas...