图书简介

Big data analytics in a learning environment. Part 1: The Instructor?s View. Student journey and network mappings. Improved feedback using learning analytics and process mining. Learning analytics dashboards. Analytics in online learning and MOOCs. Part 2: The Administrator?s View. Methodological advantages in the use of soft and big data for school efficiency. Learning analytics for predicting success, school dropout and extra support. Using data analytics to design, evaluate and improve the organization. Part 3: The Student?s View . Enhancing the learning experience through data science. Social network analytics and learning. Student obligations, opportunities and attitudes in a big data world. Part 4: The Government?s View. Legal and ethical implications of using data in education Using big data to study school performance. Learning on multiple levels: data mining for clustered data. Using process analytics and benchmarking for performance management. Part 5: Data Science Education. The need for evidence-based and data science education. Conclusion. Future directions.

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