<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /></head><body style='font-size: 10pt; font-family: Verdana,Geneva,sans-serif'> Dear CORPORA, University Politehnica of Bucharest and ASLERD are inviting proposals for 5th International Conference on Smart Learning Ecosystems and Regional Development. Pedagogical approaches, ludic and co-design strategies & tools supporting smart learning ecosystems and smart education. We would be pleased if you would consider submitting a proposal. May 25-27, 2020 Bucharest, Romania <a href="http://slerd2020.uniroma2.it/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://slerd2020.uniroma2.it/&source=gmail&ust=1579259623517000&usg=AFQjCNFFbzcdpBNa4M6B8e0s6OUya8j1mQ">slerd2020.uniroma2.it</a> ========================================================= Deadline for paper submission: February 10th, 2020 <a href="http://slerd2020.uniroma2.it/call-for-papers/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://slerd2020.uniroma2.it/call-for-papers/&source=gmail&ust=1579259623517000&usg=AFQjCNEXRzkETBn0Pkx0v8L-m_Eh69sMnw">call for papers</a> SLERD 2020 features also the forth edition of the Student Design Contest “PEOPLE CENTERED SMART LEARNING ECOSYSTEMS” Deadline for submission of ideas: February 15, 2020 <a href="http://slerd2020.uniroma2.it/contest/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://slerd2020.uniroma2.it/contest/&source=gmail&ust=1579259623517000&usg=AFQjCNGx4cLZLyGNw3tuUcznXcQN1NQf1w">call for ideas</a> free attendance and stay for the finalists - 500 € for the winner ========================================================= SLERD 2020 is organized by University Politehnica of Bucharest in collaboration with <a href="https://en.wikipedia.org/wiki/ASLERD" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://en.wikipedia.org/wiki/ASLERD&source=gmail&ust=1579259623517000&usg=AFQjCNGW4wbI2G6-kUzsb064JQPGn0qwqA">ASLERD</a>. Short Intro Smart referred to learning ecosystems, in ASLERD and SLERD contexts, does not simply means “technology enhanced”. The smartness is a more complex multilayered construct related to the wellbeing of the players operating in the ecosystems and is affected by the improvement of any relevant aspects of the learning processes and ecosystem functioning, especially if connected with territorial development and social innovation. Technologies are mediators. Hopefully they should be included but they are not a “sine qua non”. The achievement of the learning ecosystems’ smartness is a process that need a long term vision, multidisciplinary competences, an attitude to understand people and contexts and to mediate point of views, a dynamic resilience to keep on track to achieve, step by step, the foreseen goals. Topics of interests can be grouped under three big themes: • places for smart education <ul> <li>future of institutional learning</li> <li>interplay between formal and informal learning</li> <li>new educational models and settings</li> <li>continuity-discontinuity of time, technology, place/space, process in learning</li> <li>role of and case studies of games and gamification in education</li> <li>dual education and other alternate scheme approaches</li> <li>monitoring and benchmarking of smartness (individual, institution, city, region)</li> </ul> • people in place centered design for smart education <ul> <li>general frameworks and methodological advancement</li> <li>design, data and other relevant literacies</li> <li>literacies, skill and competences of smart citizens</li> <li>communities and co-design in smart learning</li> <li>sharing & participatory practices</li> <li>open access to any resource and disparity</li> <li>cultural influences</li> </ul> • supportive learning technologies for smart education <ul> <li>intelligent tutoring systems and interfaces</li> <li>semantic web technologies and applications for</li> <li>text and opinion mining and sentiment analysis</li> <li>virtual communities and social network analysis</li> <li>interoperability and application of open & smart data and services</li> <li>safety & security in education</li> <li>IoT, ubiquitous and wearable technologies</li> <li>role of VR in education</li> </ul> ========================================================= Important dates: --------------------------------------------------------- • Deadline for papers submission: February 10, 2020 • Notification to the authors: March 20, 2020 • Camera ready paper: March 31, 2020 • Conference: May 25-27, 2020 ========================================================= Proceedings: --------------------------------------------------------- Proceedings, as for previous editions, will be published by Springer in the Series Smart Innovation, Systems and Technologies that will be indexed by SCOPUS, EI-Compendex and Springerlink. Extended version of selected papers will be also included in a special issue of IxD&A Journal (ISSN 1826-9745, e-ISSN 2283-2998) that is indexed by SCOPUS and Emerging Sources of Web of Science SLERD welcomes short (max. 8 pages) and long contributions (max. 12 pages). Papers should be written according to the Spinger Instruction for Authors of the series Smart Innovation, Systems and Technologies: <a href="https://www.springer.com/us/authors-editors/conference-proceedings/conference-proceedings-guidelines" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.springer.com/us/authors-editors/conference-proceedings/conference-proceedings-guidelines&source=gmail&ust=1579259623517000&usg=AFQjCNE347_T7hI8Hv_iBToHDGTytNQoPw">https://www.springer.com/us/authors-editors/conference-proceedings/conference-proceedings-guidelines</a> Link to the paper submission page on easy chair: <a href="https://easychair.org/conferences/?conf=slerd2020" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://easychair.org/conferences/?conf%3Dslerd2020&source=gmail&ust=1579259623517000&usg=AFQjCNHJVQx-amAMLYHnS5r76vKUoIkhKg">https://easychair.org/conferences/?conf=slerd2020</a> </body></html>