periscopic is a socially-conscious data visualization firm that helps companies and organizations promote information transparency and public awareness.
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.
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.
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.
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.
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
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.
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.
P. Chapman, G. Stapleton, J. Howse, and I. Oliver. 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), page 87-94. (September 2011)
S. Bin, S. Volke, G. Scheuermann, and M. Middendorf. Theory and Practice of Natural Computing, volume 8890 of Lecture Notes in Computer Science, Springer International Publishing, (2014)
P. Heim, J. Ziegler, and S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), volume 417 of CEUR Workshop Proceedings, page 49--58. Aachen, (2008)
S. Volke, S. Bin, D. Zeckzer, M. Middendorf, and G. Scheuermann. Recent Advances in the Theory and Application of Fitness Landscapes, volume 6 of Emergence, Complexity and Computation, Springer Berlin Heidelberg, (2014)