Connecting Learning Analytics and Learning Design (CLAD 2016) Workshop @ EC-TEL

Learning Design (LD) and Learning Analytics (LA) are both domains of research and action that aim to improve learning effectiveness. In Learning Design or, as some prefer, Design for Learning, practitioners are interested in understanding how the processes undertaken by teachers and trainers can be made visible, shared, exposed to scrutiny, and consequently made more effective and efficient. On the other hand, Learning Analytics are defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs”. LA typically employ large datasets to provide real-time or retrospective insights about the effect and effectiveness of various elements and features of learning environments. Learn more.

Workshop organisers:

• María Jesús Rodríguez-Triana, École Polytechnique Fédérale de Lausanne, Switzerland ([email protected])

• Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain ([email protected])

• Yishay Mor, PAU Education, UK ([email protected])

• Paul Salvador Inventado, Carnegie Mellon University, USA ([email protected])

• Steven Warburton, University of Surrey, UK ([email protected])

• Bart Rienties, Open University, UK ([email protected])

• Luis P. Prieto, École Polytechnique Fédérale de Lausanne, Switzerland ([email protected])

• Peter Scupelli, Carnegie Mellon University, USA ([email protected])

Important Dates