Leveraging Semantic and Adaptive Technologies for Meta-cognitive Learning


It has been shown that meta-cognitive strategies (like self-regulated learning) provide an efficient means for education support. From the technological perspective this type of training requires an individualized approach and a right balance between the learner’s freedom and guidance. Semantic and adaptive technologies have a potential to support meta-cognitive learning as well as to enable customization and guidance of various strength and at various levels. An approach and framework will be presented that integrate guidance and reflection support for self-regulated learning. This has been implemented in a system enabling creation of personal learning environments and their concrete examples have been evaluated in various settings. Recently this approach has been elaborated in order to support competence development and informal training in small companies. To put it in a broader context, a brief theoretical background from various disciplines, including education, psychology and neuroscience

Milos Kravcik professor, Aachen University