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Big Data on Real-World Applications
In this chapter, we introduce the readers to the field of big educational data and how big educational data can be analysed to provide insights into different stakeholders and thereby foster data driven actions concerning quality improvement in education. For the analysis and exploitation of big educational data, we present different techniques and popular applied scientific methods for data analysis and manipulation such as analytics and different analytical approaches such as learning,doi:10.5772/63896 fatcat:6rervszwv5dsfgxhqs4hmbegnq