Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative.
Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively.
Critical thoughts from a professor (mso) in the Department of Communication and Psychology at Aalborg University who works within the area of educational technology and is more specifically interested in Networked Learning, Problem Based Learning and collaborative learning
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining.
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.
Substantial progress has been made in understanding how teachers design for learning. However, there remains a paucity of evidence of the actual students’ response towards leaning designs.
At the University of Saskatchewan, our approach is to gather information about our students’ academic performance as well as demographic and activity data that could pertain to learning success.
periscopic is a socially-conscious data visualization firm that helps companies and organizations promote information transparency and public awareness.
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