Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …

This article describes experiences with a qualitative research project into teachers’ learning from innovating their own educational practices. Decades of New Public Management (NPM) in the Netherlands, with its top-down and businesslike approach to areas of public interest, obscured the learning and …

Purpose - This paper provides an overview on the technical and vocational education and training (TVET) program components/mechanisms and their overall effect on learning outcomes in a developing country context. Design/methodology/approach - Using secondary data, this descriptive case study integrates …

In small businesses with no employees, learning environments have a low learning readiness. Consequently, learners need to rely on their own agency to shape their learning experiences. Results from a study of agricultural entrepreneurs indicated that the components of motivation and self-regulated learning …

Peer assessment is an educational arrangement where students judge a peers performance quantitatively and/or qualitatively and which stimulates students to reflect, discuss and collaborate. However, empirical evidence for peer assessment effects on learning is scarce, mostly based on student self-reports …

This article presents findings from an empirical study on the relations between the variables comprising learning mechanisms in small collaborative groups. Variables comprising the central learning mechanisms component were task related interactions, knowledge elaborations, and subjective estimation …