PALE 2016:
Personalization Approaches
in Learning Environments

Chairs 

Milos Kravcik
RWTH Aachen University (Germany)
http://dbis.rwth-aachen.de/cms/staff/kravcik

Olga C. Santos
aDeNu Research Group. Artificial Intelligence Dept. UNED (Spain)
https://adenu.ia.uned.es/members/ocsantos

Jesus G. Boticario
aDeNu Research Group. Artificial Intelligence Dept. UNED (Spain)
https://adenu.ia.uned.es/web/en/members/jgb

Maria Bielikova
PeWe Research Group. FIIT STUBA (Slovakia)
http://www2.fiit.stuba.sk/~bielik/

Supporting projects

  • BOOST: Business perfOrmance imprOvement through individual employee Skills Training: http://www.boost-project.eu/
  • LEARNING LAYERS: Scaling up Technologies for Informal Learning in SME Clusters: http://learning-layers.eu/
  • MAMIPEC: Multimodal approaches for Affective Modelling in Inclusive Personalized Educational scenarios in intelligent Contexts (TIN2011-29221-C03-01): https://adenu.ia.uned.es/web/en/mamipec
  • BIG-AFF: Fusing multimodal Big Data to provide low-intrusive AFFective and cognitive support in learning contexts (TIN2014-59641-C2-2-P): https://adenu.ia.uned.es/web/en/big-aff
  • Supervised Educational Recommender System (VEGA 1/0475/14)
  • Virtual Learning Software Lab for Collaborative Task Solving (KEGA 009STU-4/2014)