A Context Model for Intelligible Explanations in Adaptive Personalized Learning Environments

Abstract

Supporting user friendly intelligible and comprehensive explanations in context-based, adaptive systems is a big challenge. They are important for a personalized system to support user acceptance and user trust. In cases, where privacy laws like the General Data Protection Regulation (GDPR) are affected, it's even more challenging. GDPR e. g. demands explanations of data usages, i. e. explanations where and for what purpose personal data is being processed. Currently, users cannot retrace the usage and the storage of their personal data in context-based adaptive collaboration environments. We address the aforementioned problem by developing a context-based adaptive platform linked to an adaptive personalized learning environment (APLE) to support learners with intelligible, comprehensible explanations of system processes.