Supporting awareness and self-regulation in project-based learning through personalised dashboards

Supporting Self-Regulated Learning in Personalised Learning Envrionments

The advantage of Personal Learning Environments (PLEs) is to empower a learner in taking control over his/her own learning process. The shift from just being controlled by a teacher towards taking control by oneself in a selfregulated learning (SRL) way can be basically initialised by providing learning environments that can be personalised and individually adapted or created instead of using '...

Supporting Self-Regulated Personalised Learning through Competence-based Knowledge Space Theory

This paper presents two current research trends in e-learning that at first sight appear competing. Competence-based Knowledge Space Theory (CbKST) provides a knowledge representation framework which, since its invention by Doignon and Falmagne, has been successfully applied in various e-learning systems (e.g. ALEKS, ELEKTRA) providing automated personalisation to learners’ current knowledge an...

Privacy Self-regulation Through Awareness?

This paper aims to provide a critical contribution to the ongoing discourse on self-regulation with regard to privacy and data protection. This discourse encompasses the amendment of the EU Data Protection Directive and the related discussion about a principle of accountability. Underlying these conceptualisations is the assumption that data protection law is generally observed, but could be si...

Supporting collaborative learning in online higher education through activity awareness

Improving activity awareness, the ability to know what is going on around you in ways that are meaningful to your learning objectives and activities, in online learning has the potential to enhance the effectiveness of online learning for students and instructors. This paper introduces readers to the Context-aware Activity Notification System being developed for use within course management sys...

Feeler: supporting awareness and reflection about learning through EEG data