The proposers have already conducted 12 editions of the current workshop (2008 – 2019). Thus, the workshop follows the previous SPeL 2008, SPeL 2009, SPeL 2010, SPeL 2011, DULP & SPeL 2012, SPeL 2013, SPeL 2014, SPeL 2015, SPeL 2016, SPeL 2017, SPeL 2018, SPeL 2019 workshops, held in conjunction with SAINT 2008, WI/IAT 2009, DEXA 2010, ICWL 2011, ICALT 2012, ICSTCC 2013, ICWL 2014, ICSLE 2015, SETE 2016, SETE 2017, MIS4TEL 2018 and SETE 2019 respectively.
This workshop aims to address the interplay between collaboration and personalization issues for supporting intelligent learning environments. Its objective is to provide a forum for discussing emerging trends and initiatives in this area, including research about the planning, development, application, and evaluation of intelligent learning environments, where people can learn together in a personalized way through social interaction with other learners.
Our workshop addresses the hot topic of social and adaptive learning environments, which is highly relevant in today's e-learning; the main focus is on the use of emerging social technologies in education. Furthermore, the workshop complements the topics of interest of the MIS4TEL conference, being at the crossroads of "Recommendation, personalisation and adaptation in TEL systems", "Social networks for TEL" and "Methodologies for personalisation, user modelling and adaptation in TEL".
Indeed, Web-based learning is moving from centralized, institution-based systems to a decentralized and informal creation and sharing of knowledge. Social software (e.g., blogs, wikis, social bookmarking systems, media sharing services) is increasingly being used for e-learning purposes, helping to create novel learning experiences and knowledge. In the world of pervasive Internet, learners are also evolving: the so-called "digital natives" want to be in constant communication with their peers, they expect an individualized instruction and a personalized learning environment, which automatically adapt to their individual needs. The challenge in this context is to provide intelligent and adaptive support for collaborative learning, taking into consideration the individual differences between learners.
The workshop is targeted at academic researchers, developers, educationists and practitioners interested in innovative uses of social media and personalization techniques for supporting intelligent learning environments.
The proposed field is interdisciplinary and very dynamic, taking into account the recent advent of Web 2.0 and ubiquitous personalization, and it is hoped to attract a large audience.
The workshop will offer its participants the opportunity to discover and discuss novel practices and trends in designing intelligent learning environments that support social/collaborative learning and provide learners with personalized learning experiences. The key points addressed will cover Web 2.0 tools for collaborative learning, as well as adaptation methods and techniques for groups of learners.
The workshop will combine the classic paper presentation format with group discussions.
The workshop welcomes submissions covering aspects of collaboration, social interactions, adaptivity and personalization in technology enhanced learning, particularly related to issues about:
- Social learning environments
- Theory and modeling of social computing in education
- Web 2.0 tools for collaborative learning
- Personal learning environments
- Lifelong learning networks
- Virtual spaces for learning communities
- Social networks analysis and mining
- Computer-supported collaborative learning
- Personalized and adaptive learning
- Adaptation methods and techniques for groups of learners
- Intelligent learner and group modeling
- Collaborative filtering and recommendations for learners
- Game-based social learning
- Personalized mobile learning applications
- Cloud-based social learning
- Intelligent agent technology for social learning
- Metadata, folksonomies and tagging
- Semantic web and ontologies for personalized learning
- Cognitive, motivational and affective aspects for personalization
- Practice and experience sharing
- Elvira Popescu - University of Craiova (Romania)
- Sabine Graf - Athabasca University (Canada)
- Marie-Hélène Abel - Université de Technologie de Compiègne (France)
- Yacine Atif - Skövde University (Sweden)
- Silvia Margarita Baldiris Navarro - Universitat de Girona(Spain)
- Kaushal Kumar Bhagat - Indian Institute of Technology, Kharagpur (India)
- Tharrenos Bratitsis - University of Western Macedonia (Greece)
- Ting-Wen Chang - Beijing Normal University (China)
- Maria-Iuliana Dascalu - Politehnica University of Bucharest (Romania)
- Mihai Dascalu - Politehnica University of Bucharest (Romania)
- Giuliana Dettori - Institute for Educational Technology (ITD-CNR) (Italy)
- Gabriela Grosseck - West University of Timisoara (Romania)
- Hazra Imran - Athabasca University (Canada)
- Mirjana Ivanovic - University of Novi Sad, Serbia
- Ioannis Kazanidis - Technological Educational Institute of Kavala (Greece)
- Milos Kravcik - German Research Center for Artificial Intelligence (Germany)
- Zuzana Kubincova - Comenius University Bratislava (Slovakia)
- Amruth Kumar - Ramapo College of New Jersey (USA)
- Frederick Li - University of Durham (UK)
- Anna Mavroudi - Norwegian University of Science and Technology (Norway)
- Wolfgang Mueller - University of Education Weingarten (Germany)
- Kyparisia Papanikolaou - School of Pedagogical & Technological Education (Greece)
- Alexandros Paramythis - Contexity AG (Switzerland)
- Ricardo Queirós - Polytechnic Institute of Porto, i (Portugal)
- Demetrios Sampson - Curtin University (Australia)
- Olga Santos - Spanish National University for Distance Education (Spain)
- Marco Temperini - Sapienza University of Rome (Italy)
- Stefan Trausan-Matu - Politehnica University of Bucharest (Romania)
- Rémi Venant - University of Toulouse (France)
- Riina Vuorikari - Institute for Prospective Technological Studies (IPTS), European Commission (Spain)