Building a Community of Shalom: What the Bible Says about Multicultural Education

Multicultural education is a highly controversial topic in which it has been the center of contentions and conflicts as it has evolved for the last couple of decades. Several concerns and problems existed in the field of multicultural education will be addressed in this article. In addition, a new framework of multicultural education, called the shalom model, which is drawn from the Bible is presented, along with the characteristics of the model. The goal of multicultural education, according to this model, is to build a community of shalom, an image that is clearly described in Isaiah 11:6. In order to accomplish this goal, the model suggests that all people need to be equipped with the truth that all people are the image bearers of God. This concept is expanded into four implementation interventions when relating to others: biblical perspective; cultural competence; contextualized pedagogy; and intentional praxis. Finally, regarding the application issue of this model, some points of the implementation strategies are addressed in this article

The Virtual University and Avatar Technology: E-learning Through Future Technology

E-learning gains increasingly importance in academic education. Beyond present distance learning technologies a new opportunity emerges by the use of advanced avatar technology. Virtual robots acting in an environment of a virtual campus offer opportunities of advanced learning experiences. Human Machine Interaction (HMI) and Artificial Intelligence (AI) can bridge time zones and ease professional constraints of mature students. Undergraduate students may use such technology to build up topics of their studies beyond taught lectures. Objectives of the paper are to research the options, extent and limitations of avatar technology for academic studies in under- and postgraduate courses and to discuss students' potential acceptance or rejection of interaction with AI. The research method is a case study based on Sir Tony Dyson's avatar technology iBot2000. Sir Tony is a worldwide acknowledged robot specialist, creator of Star Wars' R2D2, who developed in recent years the iBot2000 technology, intelligent avatars adaptable to different environments with the availability to speak up to eight different languages and capable to provide logic answers to questions asked. This technology underwent many prototypes with the latest specific goal to offer blended E-learning entering the field of the virtual 3-D university extending Web2.0 to Web3.0 (Dyson. 2009). Sir Tony included his vast experiences gained in his personal (teaching) work with children for which he received his knighthood. The data was mainly collected through interviews with Sir Tony Dyson, which helps discover the inventor’s view on why such technology is of advantage for academic studies. Based on interviews with Sir Tony, this research critically analyses the options, richness and restrictions, which avatar (iBot2000) technology may add to academic studies. The conclusion will discuss the opportunities, which avatar technology may be able to bring to learning and teaching activities, and the foreseeable limitations – the amount of resources required and the complexity to build a fully integrated virtual 3-D campus. Key Words: virtual learning, avatar technology, iBot2000, virtual universit

BEAT: An Open-Source Web-Based Open-Science Platform

With the increased interest in computational sciences, machine learning (ML), pattern recognition (PR) and big data, governmental agencies, academia and manufacturers are overwhelmed by the constant influx of new algorithms and techniques promising improved performance, generalization and robustness. Sadly, result reproducibility is often an overlooked feature accompanying original research publications, competitions and benchmark evaluations. The main reasons behind such a gap arise from natural complications in research and development in this area: the distribution of data may be a sensitive issue; software frameworks are difficult to install and maintain; Test protocols may involve a potentially large set of intricate steps which are difficult to handle. Given the raising complexity of research challenges and the constant increase in data volume, the conditions for achieving reproducible research in the domain are also increasingly difficult to meet. To bridge this gap, we built an open platform for research in computational sciences related to pattern recognition and machine learning, to help on the development, reproducibility and certification of results obtained in the field. By making use of such a system, academic, governmental or industrial organizations enable users to easily and socially develop processing toolchains, re-use data, algorithms, workflows and compare results from distinct algorithms and/or parameterizations with minimal effort. This article presents such a platform and discusses some of its key features, uses and limitations. We overview a currently operational prototype and provide design insights.Comment: References to papers published on the platform incorporate

Embedding employability skills in UK Higher Education: between digitalization and marketization

This article contributes to the debate on employability skills in UK higher education. It starts by discussing the concept of employability and places the debate in the context of mega-trends affecting UK higher education and the broader UK labour market. It distinguishes between different types of employability skills, as identified by employers’ surveys, and matches them with specific small-group teaching activities, drawing on pedagogic theory and practice. The article concludes that, beyond work-integrated learning, traditional small-group teaching activities can go a long way towards bridging the gap between graduates’ skills and labour market needs