Abstract:

In last decades, u-learning systems engineering becomes a main challenge  due  to  the  increasing  variety  of  the highly  dynamic  learning  context sources.  Hence,  an  increasing  number  of  u-learning  systems  are  developed. Each system aims to resolve a specific problem in a specific context. It is developed according to its developer’s vision. Since there is no consensus on what is learning context, how it should be used and represented, and how its representation  should  be  developed,  this  paper  proposes  a  common  evaluating framework  for  u-learning  systems along  four  different  and  complementary worlds. Each world is capturing a particular aspect of u-learning context engineering.  The  benefit  of  this  evaluating  framework  is  threefold.  First,  it  helps understand and analyze in-depth how u-learning systems deal with the learner context. Second, it helps comparing systems according the framework’s views. Third, it helps researchers to identify new research axes.