... 6. Learning analytics play an important role in informing appropriate and effective student interventions, including through predictive modelling and personalising the learning experience.
The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process.
At the Pedagogic Research Conference, held at the University of Brighton in February, the eLearning team presented some initial results from the Learning Analytics pilot which are presented below.
As Big Data and analytics become increasingly central to the management of both the academic and bureaucratic arms of postsecondary institutions, it’s critical for leaders to deal with issues around algorithmic bias, transparency, data ownership and more.
Gibson, A., Aitken, A., Sándor, Á., Buckingham Shum, S., Tsingos-Lucas, C. and Knight, S. (2017). Reflective Writing Analytics for Actionable Feedback.
The Open University (OU) is a global leader in quality online, open and distance education with more than 180,000 students and 8,000 faculty and staff.
Despite their importance for educational practice, reflective writings are still manually analysed and assessed, posing a constraint on the use of this educational technique.
This presentation was given at the 7th Learning Analytics and Knowledge conference (2017) in Vancouver, BC. It presents the trends and issues in student-facing…
Presentation on The Influence of Data Protection and Privacy Frameworks on the Design of Learning Analytics Systems at LAK17, Vancouver, Canada - 2017-03-16
OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. All students with their risk of failure are available weekly to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students.