Big Data & Analytics Annotated Bibliography

As part of my sabbatical, I need to gain a basic understanding of statistics and data structure and get an overall sense of what educational data analytics entails, so I did some research and created a short reading list of published articles and books to read. Last summer I read Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil as part of our learning analytics professional learning community (PLC) at GCC. I also started reading a few of the articles I found including Academic analytics and data mining in higher education and Educational Data Analytics Technologies For Data-Driven Decision Making In Schools.

I plan to add to this list as I go, so if you have any suggested articles or books you think I should read, send them my way. Over the course of this semester I will be reading and adding to my Big Data & Analytics Annotated Bibliography. I’ve created this post to share my work. I’ve also included my Appendix D: Reference/Reading list for Sabbatical below.

Big Data & Analytics Annotated Bibliography

Baepler, P., & Murdoch, C. (2010). Academic analytics and data mining in higher education.
International Journal for the Scholarship of Teaching and Learning, 4(2). doi:10.20429/
ijsotl.2010.040217

This essay links the concepts of academic analytics, data mining in higher education, and
course management system audits and suggests how these techniques and the data they produce
might be useful to those who practice the scholarship of teaching and learning. Academic
analytics, educational data mining, and CMS audits, although in their incipient stages, can
begin to sift through the noise and provide SoTL researchers with a new set of tools to
understand and act on a growing stream of useful data.

Appendix C

Sabbatical Reading List

Baepler, P., & Murdoch, C. (2010). Academic analytics and data mining in higher education. International Journal for the Scholarship of Teaching and Learning, 4(2). doi:10.20429/ijsotl.2010.040217

Delaware County Community College. (n.d.). Big data, algorithms, and predictive analytics – Learning analytics – LibGuides at Delaware County Community College. Retrieved July 13, 2017, from http://libguides.dccc.edu/learning_analytics/big_data

Herold, B. (2016, January 11). The future of big data and analytics in K-12 education – Education Week. Retrieved from http://www.edweek.org/ew/articles/2016/01/13/the-future-of-big-data-and-analytis.html

Lawson, J. (2015). Data science in higher education: A step-by-step introduction to machine learning for institutional researchers. Chico, CA.

Picciano, A. G. (2012). The evolution of big data and learning analytics in American higher education. Online Learning, 16(3). doi:10.24059/olj.v16i3.267

Reinitz, B. (2017, August 10). 2017 Trends and Technologies: Analytics. Retrieved from https://library.educause.edu/resources/2017/8/2017-trends-and-technologies-analytics

Sampson, D. G. (2016, October 22). Learning analytics: Analyze your lesson to discover more about your students – eLearning Industry. Retrieved from https://elearningindustry.com/learning-analytics-analyze-lesson

Sampson, D. G. (2016, October 20). Educational data analytics technologies for data-driven decision making in schools – eLearning Industry. Retrieved from https://elearningindustry.com/educational-data-analytics-technologies