Abstract
A Context Model for Intelligible Explanations in Adaptive Personalized Learning Environments
Highlights
The educational landscape has changed tremendously in recent years
We address the aforementioned problem by developing a context-based adaptive platform linked to an adaptive personalized learning environment (APLE) which should support comprehensibility and intelligibility
In this paper we focus on comprehensibility and intelligibility and do not consider a pedagogical, knowledge or learner perspective which are commonly used for context-aware or context-based learning environments [5], [11]
Summary
The educational landscape has changed tremendously in recent years. Distance learning has been established worldwide and offers people of different backgrounds and personal circumstances a wide range of educational programs. Technological changes that are used in developing modern e-learning platforms require life-long learning. In many cases, these e-learning platforms are based on a one-fits-all concept that cannot meet learners needs. According to [1], personalization means to adapt the learning environment or the content to the learner and her/his situation. Adaptive learning supports learners to develop problem solving strategies by guidance from predefined rules [2]. Adaptation can be used to support collaborative learning situations of student groups, e. Providing an explicit context representation of a system at runtime adds flexibility to supporting users in related situations of specific domains [6]
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