Search

This paper presents a data mining methodology to analyze the careers of University graduated students. We present different approaches based on clustering and sequential patterns techniques in order to identify strategies for improving the performance of students and the scheduling of exams. We introduce an ideal career as the career of an ideal student which has taken each examination just after the end of the corresponding course, without delays. We then compare the career of a generic student with the ideal one by using the different techniques just introduced. Finally, we apply the methodology to a real case study and interpret the results which underline that the more students follow the order given by the ideal career the more they get good performance in terms of graduation time and final grade. [ABSTRACT FROM AUTHOR]

Students’ experience of higher education comprises not only their academic studies but also their extracurricular activities. This article reports on the findings from a mixed-methods research project, exploring in detail the nature and value of extracurricular activity engagement and the significance of institutional schemes encouraging extracurricular activity engagement, from a UK student perspective. Our findings reveal that many students are actively engaged in a variety of extracurricular activities and recognise their value for employability. However, fewer students are strategic in their patterns of involvement, which may be hindered by a lack of career planning. Furthermore, extracurricular activity engagement can be detrimental to academic study, and engagement alone does not assure employability benefits. However, structured institutional schemes encouraging extracurricular activity engagement may facilitate reflection, enabling students to make best use of their experiences for their future careers. Our research contributes to a growing body of research evidence on ‘life-wide learning’. [ABSTRACT FROM AUTHOR]