Tom Haig has had his first paper accepted for the Fifteenth Australasian Computing Education Conference (ACE 2013), which is held as part of Australasian Computer Science Week (ACSW). Congratulations, Tom!
This paper, Visualisation of Learning Management System Usage for Early Detection of Students At Risk of Failure in Computer Science Courses, describes some of Tom’s work completed as part of his honours work in exploring social network analysis and statistical analysis visualisations of student activity in online learning management systems to help identify students at risk of failure or withdrawing at early stages.
What was particularly useful about this work is that Tom was able to identify patterns of behaviour in terms of access to resources etc exhibited by successful and unsuccessful students, helping academics then determine those students who were exhibiting patterns of interest as targets for at-risk interventions. Tom produced some preliminary tools that could be used to identify what those patterns would be for a particular course given its specific set of resources, and was able to demonstrate that these patterns can be identified at fairly early stages within that course – helping us identify at-risk students early enough to actually do something.
There is still a lot of work to do from Tom’s work – making these tools more usable, integrating them more effectively with the online learning management system, and so hopefully we can explore this as a future student project.