In this paper we provide a description of the project DrIVE-MATH, highlighting the main goals, intellectual outputs, outcomes, the involved partners, and activities and reports from the three-years' project. At the end we discuss the impact of the new proposed Education models at various levels, from students, to HEIs, to stakeholders.

The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…

In some institutions of higher learning, one of the approaches to successful governance is through student assessment of teachers, dubbed Student Assessment of Faculty or Student Evaluation of Teaching and extensively used in the United States of America (USA). In schools and colleges, the usual largest bloc and primary stakeholders are the…

Purpose: This paper aims to develop a model of measuring student engagement in a blended-massive open online course (MOOC) context. MOOCs are those that are delivered, usually by leading universities, with a promise to provide free high-quality education to an unlimited number of learners. They offer an opportunity for "blended" course…

Through the use of event-history techniques, we will show that a duration framework is adapted to the analysis of higher education attrition. Our dropout model allows for estimates to vary over time. While some factors exhibit constant effects, like high school characteristics, other effects do vary from the first year to the fourth. Men and women…

This paper tests a central implication of the theory of equalizing differences, that workers sort into jobs with different attributes based on their preferences. We present evidence from four new time-use data sets for the United States and France suggesting that workers who are more gregarious, as revealed by their behavior when they are not…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…