Paul Lefrere

Learn More
The current paper deals with the relation between language resources and Computer Assisted Language Learning (CALL) systems: language resources are essential in the development of CALL applications, during the development of the system resources are created, and finally the CALL system itself can be used to generate additional resources that are useful for(More)
This paper describes a generic technique for representing Adaptive Learning Resources by extending current metadata schemas. The requirement for the work described here has grown out of the necessity to facilitate accurate discovery and integration of Adaptive Learning Resources, namely Adaptive Hypermedia Services.
Approaches to competence development have tended to focus on training to reach a required level of performance in simple and reproducible contexts, rather than in the more complex and hard-to-replicate contexts that characterize real-world projects, especially projects that involve people from other cultures. This paper explores how the Serious Games(More)
We review the research on mobile learning and theories of learning in order to produce a pedagogically sound set of guidelines for learners, teachers, and policy makers who are considering adopting m-learning technology. The guidelines are not primarily intended as requirements for systems design, but they will be of use to systems designers, in alerting(More)
The MOBIlearn project, co-funded by the European Commission, the National Science Foundation and AU Department of Education, Science and Training, is strategically positioned to provide relevant research outcomes in the field of innovative use of mobile environments to meet the needs of learners, working by themselves and with others. The objectives are(More)
We describe our use of the Experience API in preparing blue-collar workers for three frequently arising work contexts, including, for example, the requirement to perform maintenance tasks exactly as specified, consistently, quickly, and without error. We provide some theoretical underpinning for modifying and updating the API to remain useful in near-future(More)