1. Aud, S., Wilkinson-Flicker, S., Kristapovich, P., Rathbun, A., Wang, X., & Zhang, J. (2013). The condition of education 2013 (NCES 2013–037). U.S. Department of Education, National Center for Education Statistics. Washington, DC. Retrieved from http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2013037 .
2. Baker, R., & Yacef, K. (2009). The state of educational data mining in 2009: a review and future visions. Journal of Educational Data Mining, 1(1), 3–16.
3. Bousbia, N., & Belamri, I. (2014). Which contribution does EDM provide to computer-based learning environments? In A. Pena-Ayala (Ed.), Educational data mining: Applications and trends (pp. 3–28). Switzerland: Springer.
4. Carpenter, J. P., & Krutka, D. G. (2014). How and why educators use Twitter: a survey of the field. Journal of Research on Technology in Education, 46(4), 414–434.
5. Charalabidis, Y., Maragoudakis, M., & Loukis, E. (2015). Opinion mining and sentiment analysis in policy formulation initiatives: The EU-community approach. Proceedings of the 7th IFIP 8.5 International Conference, Thessaloniki, Greece, August 30—September 2 (pp. 147–160). Switzerland: Springer International Publishing.