Student retention is one of Higher Ed’s most pressing issues and new technology is increasingly being used to help combat it. This case study from the Thames Valley University and Middlesex University in London explores how data mining can help universities improve their retention rates and keep students from dropping out. Ying Zhang, Tony Clark, et al. propose that data mining can help institutions identify at-risk students so that the school can help them work towards graduating.
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