| 25278 |
abstract |
Over the last century, many theoretical frameworks and technological solutions for
personalized e-learning have emerged. The underlying models, however, are often based
on the practice that domain experts develop an adaptation strategy to personalize
content or parts of a learning platform, which leads to different problematic aspects
decreasing the feasibility or utility of such approaches. After giving a brief overview
of the historical development and basic concepts of personalized e-learning, we outline
the shortcomings of the traditional ‘top-down, ex ante’ models and present an alternative
approach which deals with personal learning environments, web application mashups,
learning activities and learner interactions, as well as pattern-based best practice
sharing. Furthermore, a prototypic implementation for our ‘learner-driven, bottom-up’
approach to personalized e-learning, namely the ‘Mash-UP Personal Learning Environment’
(MUPPLE), is presented and discussed on the basis of a concrete scenario. |