Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision Making
In the last decade, we have seen dramatic increases in the integration of technology within education. It has now become commonplace for K-5 educators to apply learning management systems (LMS) in ways that were previously only seen in higher education contexts. Similarly, on the higher education side, we are seeing a significant increase in online learning evidenced by the growing number of for-profit online colleges and universities (Picciano, 2012). This chapter utilizes Khan’s Learning Framework (Khan, 2001, 2005) to explore the role data analytics can play in education by looking at the possibilities and limitations of analytics.
Original Publication Citation
Moore, R. (2018). The role of data analytics in education: Possibilities & limitations. In B. H. Khan, J. R. Corbeil, & M. E. Corbeil (Eds.), Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision Making (pp. 101-118). New York: Routledge, Taylor & Francis Group.
Moore, Robert, "The Role of Data Analytics in Education: Possibilities & Limitations" (2018). STEMPS Faculty Publications. 111.