Kaleidoscope Network of Excellence

1. KaleidoscopeNetwork of Excellence Professor Barbara Wasson University of Bergen, Norway

2. Introduction • European research network • over 90 research units • across 24 countries (23 Europe + Canada) • 1100 researchers (2/3) and PhD students (1/3) • Universities, Industry and SMEs, Users’ groups • Budget 9.350 M Euros • Duration 4 years(2004-2007)

3. http://www.noe-kaleidoscope.org/pub/about/partners/

4. Issues • The network’s members collaborate closely both in teams, individually and informally to establish an integrated, sustainable programme of scientific research for Technology Enhanced Learning (TEL). • To bring new understanding and creativity to the field of Technology Enhanced Learning, ensuring it can contribute to European Commission initiatives, specifically through the Bologna Declaration and the Lisbon Agenda. These set goals for mobility, employability, competitiveness and dynamism.

5. Addressing the Issues • A strategy to drive the scientific field forwardthrough collaboration and convergence, through investigation and sharing of results • Creation of Interdisciplinary teams from different countries, research backgrounds and fields • Building technological and scientific platforms to support researchers by offering tools, services, resources and reference standards at a PhD level

6. Addressing the Issues • Developing an understanding of political and social issues important to the field within Europe and proactively creating and utilising communication channels between relevant stakeholders in education, industry (users and businesses) to inform and advise • Devising and implementing dissemination strategies to engage and lobby academic institutions, user and industry representatives and non-governmental bodies • Examining models of sustainability in order for TEL to have a global impact

7. Scientific and strategic integration • To build bridges between technology, computer science and, educational, social and cognitive sciences in order… • To provide better foundations to the evaluation of TEL • To stimulate the sharing of prototypes and testbed • To improve technology transfer and innovation • To develop a shared understanding of the differences and commonalities at a conceptual and methodological level… • across disciplines • across cultures • research practices • To build bridges between the different educational traditions

8. Structure outline Scientific coordination Administrative coordinator Cluster leaders Contractor representative Team leaders Project leaders Researcher / Phd Student

9. Scientific Coordination Scientific Manager Nicolas Balacheff, CNRS, France Executive (5 members) Core Group (22 members)

10. Structure outline Scientific coordination Administrative coordinator Cluster leaders Contractor representative Team leaders Project leaders Researcher / Phd Student

11. Projects

12. European Research Teams (ERTs) ERTs are integrating activities, which target networking European excellence at the level of specific research challenges. Long term collaboration is at the research team level (between research groups of member Institutes).

13. Conditions for productive networked learning environments Production of educational formats Technology enhanced learning in mathematics Computer-Supported Scripting of Interaction in Collaborative Learning Environments Computer-based Analysis and Visualization of Collaborative Learning Activities Integrating Collaborative, Inquiry and Experiential Learning

14. Special Interest Groups • SIGs are the basic community-building tools of Kaleidoscope. They allow individual researchers and PhD students from all the partner institutions to organize themselves around a problem or a project that they feel is at the forefront of the TEL research scene

15. Computer Support for Collaborative Learning Narrative and Learning Environments Philosophy of TEL Computer Supported Inquiry Learning Artificial Intelligence in Education Learning GRID

17. Jointly Executed Integrating Research Projects (JEIRPs) • JEIRPs encourage the cross-fertilisation of the research of the partner institutions by focusing on the key issues of the field—issues which are intrinsically multidisciplinary • Usually 1 year • Internal calls

18. Learning Patterns for the design and deployment of Mathematical Games Digital Language Learning: An Integrated Perspective Technology enhanced public spaces for intergenerational learning

19. Virtual Doctoral School Shared Virtual Laboratory

21. Users Group Dissemination Gateway

23. 10 Issues for a Research Programme • combining collaborative learning, mobile learning and inquiry learning • to question the underlying concepts and theoretical framework • need for a comprehensive approach • professional learning and training • highly realistic and interactive simulations • microworlds and role-play environments • blended learning • from practical to theoretical perspectives • models to support its development and ensure its efficiency

24. 10 Issues for a Research Programme • need formodels • of learning as an emergent process in complex systems • computationally tractable, cost effective, efficient transfer • empirically valid when confronted to actual use • need forcognitive and technological foundations • to design highly interactive learning objects • for a new ecology of learning • for models of context-as-construct to inform TEL design • need for shared references • domain specific evidence • research based recommendations • understanding of TEL from an epistemological perspective

25. 10 Issues for a Research Programme • “De-compartmentalization” of • learning practices • examinations and assessment • Constant need for tools for teachers and trainers • TEL innovative authoring tools • Learning management systems “beyond text and PCs” • Models and methods to support complex process of adoption of TEL in the different learning contexts

26. 10 Issues for a Research Programme • to build tools to enhance TEL as an experimental research field • Frameworks for the description of the experimentation settings and processes methodological standards … • Frameworks for the description of experimental data to share, manage and compare data benchmark … • Tools and means to instrument the experimental situation so as to gather experimental data in a meaningful way testbed ... • Infrastructure for  the management and sharing of information • the support of researchcollaborations in all phases

27. Need for convergence to fight research fragmentation • Network • Learning community (CSCL) • Learning space (Grid) • Content • Simulation, augmented reality • Semantically rich representation • Ubiquity and mobility • Interaction • Reification of interactions • Digital imprint of tacit knowledge

28. An integrated vision Amsterdam convergence workshop December 2006 • Document • Simulations • Microworld • Knowledge • Ability Technology inquiry learning Learner • Interactive • Wireless • Distributed • Ubiquitous • Trustable collaborative learning mobile learning • Autonomous • Socialized • Collaborative Situations • School • Informal learning • Learning at work • Training

29. Telearn OAI preview…

30. An open research network acrosscultures, organisations & disciplines Become an Associated member Any research unit, private or public activity in the field of technology for human learning Access to the resources and to the community building process www.noe-kaleidoscope.org