GRASS - Grading Soft Skills (2014-2016)
A 3-year international research project, being developed under the umbrella of the flagship European funding programme in the field of education and training, the Lifelong Learning Programme (LLP) (project reference number: 543029-LLP-1-2013-1-RS-KA3-KA3MP). The project focuses on representing soft skills of learners of various ages and at different levels of education in a quantitative, measurable way, so that these skills can become the subject of formal validation and recognition. The GRASS project is categorized as an LLP transversal programme key action 3 (KA3) project. KA3 projects are about the use of ICT tools to enhance learning environments and experiences. GRASS addresses KA3 priority 3.1.2, Innovative pedagogy and assessment methods for diverse learning pathways.
A 3-year project funded by the TEMPUS IV programme of the European Union (project No. 530155-TEMPUS-1-2012-1-EE-TEMPUS-JPCR). It is a Joint Project / Curricular Reform (JPCR) project with the objective to initiate capacity building for interdisciplinary studies at universities in Serbia, to be offered both in English and in Serbian, at all three levels of study (BSc, MSc, PhD), and in at least one of the following three modes of study: face-to-face mode, distance learning, and blended mode. By developing and implementing interdisciplinary study programmes, the project intends to enhance employment opportunities for graduates of these programmes, targeting specifically Serbian labor market needs in interdisciplinary computing.
IntelLEO is the EU funded FP7 project that aims to explore supportive technologies for learning and knowledge building activities of learners in Intelligent Learning Extended Organisations.
OP4L - Online Presence for Learning is SEE-ERA.NET PLUS funded project aimed at providing support for advanced, context-aware Learning Process Management (LPM) within Personal Learning Environments (PLEs) as the increasingly important new paradigm in online education. It will offer new ways of combining Social Web presence data and Semantic Web technologies to provide advanced support for managing online learning resources and processes within PLEs.
The aim of Modeling Online Presence (OPO) is to model the dynamic aspects of a user's presence online and to enable the integration and exchange of Online presence related data. For this purpose the project provides a Semantic Web ontology (OPO) for representing rich data about Online Presence in RDF.
For manipulation with user's online presence data in for of RDF, we developed Java library that enables it.
OPOS (OPO Server) is an application that will enable interchange of Online Presence data between different applications that can export them. It also includes building the OPO Data Repository with SPARQL Endpoint and RESTful services, and plugins and services for various applications that will enable their communication with the OPO Server.
Still in development!
People use emoticons every day as the easiest and most interesting way to express their emotions, state, or action. But their use is limited for many reasons. Smiley Ontology is an ontology that aims to enable interchange of emoticons between different systems, without any loss of their semantics, as well as to allow for captureing and formal representation of semantics of emotions and emotional states that are widely spread across the Web. For more information visit SO official wiki.