Portal:Complex Systems Digital Campus/E-Laboratory on Education

e-Laboratory on Education

Challenges
The need of new principles and methods for massive scientific education has become particularly relevant with the awareness of new complex societal and globalized problems. The new education must become more personalized, as the skills needed to master our world are increasingly sophisticated, but also diversified. Personalized education should also be participative (as with the personal tutor of ancient times), predictive (for guessing the next step toward the best skill level), and also preventive (for avoiding withdrawals). Defining, and also implementing, such a new educational paradigm requires the discussion of new concepts, definitions, protocols, and the use of very specific tools for massive education. This is the main goal of the CS-DC e-Laboratory on Education. Particularly, the challenges are the following:


 * Define the main concepts supporting a Science of Personalized Massive Education;


 * Define protocols for the integration of predictive models within Personalized Massive Education platforms;


 * Use complex systems modelling to implement the Personalised Massive Education concepts;


 * Merge tools already available within a Personalized Massive Education LMS platform. During three working days with seniors and juniors, short oral talks, as well as modelling and implementation tasks, will discuss and contribute to a new LMS platform;


 * Organize an International Conference at the end of 2014 for the Science of Personalized Massive Education. This conference will act as the starting nucleus of the new community;


 * Prepare research project proposals.

list of the teams participating in the e-laboratory

 * The Observatorium, CIES-IUL, Portugal
 * Jorge Louçã
 * António Fonseca


 * Université de Strasbourg, France
 * Pierre Collet
 * Pierre Parrend
 * Julie Thompson
 * Aline Deruyver
 * Maxime Pierson
 * Raaj Seereekissoon
 * Anna Scius-Bertrand
 * Pierre Parrend


 * Institut des Systèmes Complexes, Paris Ile-de-France
 * Paul Bourgine
 * Jean-Philippe Cointet
 * David Chavalarias
 * Yves Burnod
 * Khashayar Pakdaman
 * Idriss Aberkane


 * Université Paris 8, France
 * Charles Tijus
 * Anna Scius-Bertrand


 * École Supérieur Normale, Taïwan
 * Chun-Yen Chang


 * Université Cheikh Anta Diop, Sénégal
 * Diouf Ismaïla
 * Ousmane Wilane


 * Open University, UK
 * Jeffrey Johnson
 * Cristian Jimenez-Romero
 * Jane Bromley


 * Indian Institute of Technology Gandhinagar, India
 * Jaison Manjaly


 * Universidad de Sevilla, Spain
 * María José Escalona Cuaresma


 * Universidad de Valparaiso, Chile
 * Carla Taramasco


 * University of Kansas, USA
 * John Symons


 * Universidade de São Paulo, Brasil
 * Flavia Mori Sarti


 * Faculdade de Ciências da Universidade de Lisboa, Portugal
 * Helder Coelho

Coordination committee

 * Paul Bourgine
 * Pierre Collet
 * Chun-Yen Chang
 * Diouf Ismaïla
 * Jeffrey Johnson
 * Charles Tijus
 * Maria-José Escalona Cuaresma
 * Flavia Mori Sarti
 * Carla Taramasco
 * Jorge Louçã

Research and educational projects

 * Étoile Cascades Ideas - http://www.etoileplatform.net
 * POEM - Personalised Open Education for the Masses
 * Curriculum on Complex Systems Sciences

URL for the Website and Wiki of the e-laboratory

 * page at Wikiversity

Grid, Cloud, or other network utilities to be used

 * High Performance Computer Server from the Observatorium team, including 2496 GPU cores for parallel data processing.

Data and/or Tools to be shared

 * Étoile Platform Curriculum in Complex Systems Studies
 * POEM platform and courses