Educational Process Mining-Different Perspectives
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
Process mining methods have in recent years enabled the development of more sophisticated Process models which represent and detect a broader range of student behaviors than was previously possible. This paper summarizes key Process mining perspectives that have supported student modeling efforts, discussing also the specific constructs that have been modeled with the use of educational process mining and key upcoming directions that are needed for educational process mining research to reach its full potential. Process mining aims to discover, monitor and improve real processes by extracting knowledge from event logs readily available in today’s information systems. This paper is designed to give a view on the capabilities of process mining techniques in the context of higher education system which involves and deals with administrative and academic tasks like enrolment of students in a particular case, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnormal values in the result sheet of students, prediction about students performance, identify the drop outs, and students who need special attention and allow the teacher to provide appropriate advising /counseling and so on.
Authors and Affiliations
K. Lalitha Devi M. Sc
Keywords
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