Learn More
Personalization of learning has become a prominent issue in the educational field, at various levels. This article elaborates a different view on personalisation than what usually occurs in this area. Its baseline is that personalisation occurs when learning turns out to become personal in the learner's mind. Through a literature survey, we analyze(More)
Learning Management Systems (LMSs) are used in many (educational) institutes to manage the learning process. Adaptive Learning Environments (ALEs) offer support for the learning process through adaptive guidance and perhaps also personalized learning material (content). GRAPPLE offers a new infrastructure that brings both together. This is done through(More)
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear the full citation on the first page. Copyrights for components of this work owned by others than IFETS must be honoured.(More)
In technology-enhanced learning, activity-based learner models can provide evidence for competence assessment. Such models are the foundation for learning and teaching support, such as: adaptation, assessment, and competence analytics, recommendations, and so on. This paper analyses how to construct activity-based learner models based on existing data in(More)
IMS Learning Design (IMS LD) is an open specification to support interoperability of advanced educational designs for a wide range of technology-enhanced learning solutions and other units of learning. This paper analyses approaches to model personalised learning experiences with and without explicit adaptive features in IMS LD. The paper has two main(More)