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Student Data: Data is knowledge – putting the knowledge back in the students’ hands

Authors: 

Owen Corrigan, Mark Glynn, Aisling McKenna, Alan Smeaton, Sinead Smyth

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Learning Management Systems are integral technologies within higher education institutions. These tools automatically amass large amounts of log data relating to student activities. The field of learning analytics uses data from learning management systems (LMSs) and student information systems to track student progress and predict future performance in order to enhance learning environments (Siemens, 2011). The aim of this paper is to describe a project where we utilized a system developed in Dublin City University to use information about student engagement with our LMS, Moodle, to create a model predicting pass or failure in certain modules.
Conference Name: 
14th European Conference on e-Learning ECEL-2015
Proceedings: 
14th European Conference on e-Learning ECEL-2015
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
27/10/2015
Conference Location: 
United Kingdom (excluding Northern Ireland)
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes