Certain words are like sparks in a puddle of gasoline. “Bias” is definitely one of those words—and for good reason. If there is something that we are doing, that we are unaware of, that is causing harm to others, then we definitely should be taking it seriously.
Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. Two research communities – Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) have developed separately to address this need. This paper argues for increased and formal communication and collaboration between these communities in order to share research, methods, and tools for data mining and analysis in the service of developing both LAK and EDM fields.
D. Li, J. Deogun, W. Spaulding, and B. Shuart. Transactions on Rough Sets IV, volume 3700 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2005)