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Invited speakers

Riichiro Mizoguchi

Riichiro Mizoguchi

Riichiro MIZOGUCHI received PhD degree from Osaka University in 1977 and is currently Professor at the Institute of Scientific and Industrial Research, Osaka University. His research interests include Non-parametric data analyses, Knowledge-based systems, Ontological engineering and Intelligent learning support systems. Dr. Mizoguchi was President of the International AI in Education Society and the Asia-Pacific Society for Computers in Education from 2001 to 2003 and of Japanese Society for Artificial Intelligence (JSAI) from 2006 to 2008, respectively. He received honorable mention for the Pattern Recognition Society Award, the Institute of Electronics, Information and Communication Engineers Award, 10th Anniversary Paper Award of JSAI, Best paper Awards of ICCE99 and ICCE2006, Okawa publication award, best paper award of JSAI and best paper award of Japanese Society for Information and Systems in Education (JSISE) in 1985, 1988, 1996, 1999, 2006, 2005, 2006 and 2010, respectively. He is currently Vice-president of the Semantic Web Science Association (SWSA).

University of Osaka, Japan

What Computer Can Do When It Knows Learning/Instructional Theories

Abstract: One might have once dreamed if computer could understand learning/instructional theories. Recent advancement of ontological engineering has made the dream come true. Since late 90's, I have tackled this problem and have come up with a theory-aware authoring system with my colleagues. The system is called SMARTIES. It is based on a comprehensive ontology of learning and instructional theories named OMNIBUS. This talk discusses the background philosophy behind the research as well as its technical details and usefulness of the system. OMNIBUS and SMARTIES are available at http://edont.qee.jp/omnibus/doku.php

 

Geert-Jan Houben

Geert-Jan Houben

Geert-Jan Houben is full professor of Web Information Systems at Delft University of Technology (TU Delft). His main research interests are in Web engineering, in particular the engineering of Web information systems that involve Web and Semantic Web technology, and adaptation and personalization. He studied computing science, got his Ph.D. with a thesis on complex objects databases, had several consultancy jobs with consultancy firms in the Netherlands, and held academic positions at the universities in Eindhoven, Antwerp and Brussels, before joining Delft. He has served the research community, for example as managing editor of JWE, the Journal of Web Engineering, member of the Steering Committee for ICWE, the International Conference on Web Engineering, and member of the Editorial Board of ACM TWEB, ACM Transactions on the Web, as well as being chair of many workshops and conferences, for example as PC chair for ICWE, the International Conference on Web Engineering, or UMAP, the conference on User Modeling, Adaptation and Personalization.

Delft University of Technology, The Netherlands

The Web and its Users:
Engineering the Personal
and Social Web

 

Peter B. Sloep

Peter B. Sloep

Dr. Sloep is full professor in Technology Enhanced Learning at CELSTEC, OUNL and programme director of its R&D programme on Networked Learning. His research encompasses such topics as learning design, learning objects and open educational resources, as well as knowledge sharing and creative collaboration in communities and networks. Sloep is the founding chair of the Technical Committee Learning Technology of the Dutch Standards Organisation (NEN). He is a frequent speaker at national and international conferences. He serves on the editorial board of Research in Learning Technology, frequently reviews papers and book proposals for various journals and conferences in the TEL field, and has reviewed proposals for the Canadian, US and Dutch national research agencies. He supervises several doctoral students. For a complete CV see http://pbsloep.nl/

Open University, The Netherlands

Networked learning in learning networks

Abstract: A Learning Network is an online social network that has been designed specifically to facilitate learning (professional development). It may be viewed as a dynamic collection of communities, that wax and wane, come to overlap and drift apart in response to the participants needs and wants. In such a community, professional development (learning) and being professionally active can become two sides of the same coin. In a Learning Network, learning takes place by accessing relevant resources. These are in the first instance the Learning Network's participants themselves. They are the primary sources of expertise. They then adopt a teaching role and direct fellow participants to (online) artefacts or other experts they know. However, they will also act as providers of all kinds of support - as learning coaches, mentors, critical friends, business contacts. The great potential of the Learning Network concept lies in its facilitating the exploration and exploitation of the weak links between its participants. They are the as yet unknown sources of new knowledge and support. This is achieved by equipping the Learning Network with a variety of request-and-recommend tools that support its participants in every needed way. Many of these tools are similar to what existing social network sites offer. However, ordinary social networks do only see their participants as the means to the end of securing income, through advertisments or selling their profiling data. This is reflected in the tools they offer. A Learning Network, rather, is social and seeks to serve the learning needs of its participants. The tools developed for it should reflect this orientation. In the talk, I will discuss conceptual aspect of learning in the networked setting of a Learning Network. I will illustrate this with examples of relevant use cases and of pertinent tools.

 

Vania Dimitrova

Vania Dimitrova

Dr. Vania Dimitrova is a lecturer at the School of Computing, University of Leeds, UK where she leads the user modelling activity within the knowledge representation and reasoning group. Her research focuses on developing intelligent systems that adapt to individuals, groups, and communities. Her research interests include user modeling and adaptive systems, community adaptation, ontology-enhanced interaction, and ontological modelling. She was a general chair of the 5th European Conference on Technology-enhanced Learning (ECTEL2010), co-chair of the 14th Int. Conference on AI in Education (AIED2009) and the 4th European Conference on Technology-enhanced Learning (ECTEL2009), and co-organised several international workshops on user modelling and adaptive learning.

She currently coordinates the EU F7 ImREAL (Immersive Reflective Experience-based Learning) project, and contributes to knowledge engineering and adaptation tasks in the EU F7 DICODE (Data Intensive Collaboration and Decision Making) project and the UK TSB STRAPP (Trusted Digital Spaces through Timely Reliable and Personalised Provenance) project.

University of Leeds, UK

Unite to Triumph and Divide to Conquer: Intuitive, Iterative, and Modular Ontology Authoring

 

Important Dates:

May 04, 2011

Extended May 16, 2011 Submission deadline

June 12, 2011

Notification of Acceptance

July 01, 2011

Camera Ready Papers
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July 05, 2011

Early Registration

July 25,2011

Registration
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