References

Learning Analytics and Educational Data Mining:

  • Baker, R.S. (2015). Big Data and Education. 2nd Edition. New York, NY: Teachers College Press, Teachers College, Columbia University.
  • Baker, R.S. (2014). Educational data mining and learning analytics. In Learning analytics (pp. 61-75). Springer New York.
  • Brown, M. (2012, July). Learning analytics: Moving from concept to practice. Retrieved from

https://library.educause.edu/resources/2012/7/learning-analytics-moving-from-concept-to-practice

  • Buckingham Shum, S. (2012). Learning Analytics Policy Brief. UNESCO. Retrieved from http://iite.unesco.org/files/policy_briefs/pdf/en/learning_analytics.pdf
  • Cottrell, G.J. (2017) Thinking outside the box: A descriptive study focusing on the application of learning analytics on Instructional design (Unpublished doctoral dissertation). East Stroudsburg University, Pennsylvania.
  • Glazatov, T.R. (2012). Applying instructional design system theory to mobile learning environments. Journal of Applied Learning Technology, 2(2), 29-35.
  • Knight, Simon; Buckingham Shum, Simon and Littleton, Karen (2014). Epistemology, assessment, pedagogy: where learning meets analytics in the middle space. Journal of Learning Analytics, 1(2) pp. 23-47.
  • Learning Analytics and Knowledge Conference. (2011) Retrieved from https://tekri.athabascau.ca/analytics/
  • Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 57(10), 1439-1459, http://doi.org/10.1177/0002764213479367
  • Martin, R., & Ndoye, A. (2016). Using learning analytics to assess student learning in online courses. Journal of University Teaching & Learning Practice, 13(3), 7.
  • Papmitsiou, Z., & Economides, A.A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Journal of Educational Technology & Society, 17(4), 49-64.
  • RADU, I.r. (2017). Emergent technologies for learning analytics. Elearning & Software for Education, 2509-524. doi:10.12753/2066-026X-17-157
  • Sampson, D.G. (2016). Learning analytics: Analyze your lesson to discover more about your students. Retrieved from https://elearningindustry.com/learning-analytics-analyze-lesson
  • Siemens, G., Baker, R.S.J.d. (2012). Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. Proceedings of the 2nd International
  • Conference on Learning Analytics and Knowledge. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.463.5104&rep=rep1&type=pdf
  • Tamin, R.M., Bernard, R.M., Borokhovski, E., Abrami, P.C., & Schmid, R.F. (2011). What Forty Years of Research Says about the Impact of Technology on Learning: A Second-Order Meta-Analysis and Validation Study, Review of Educational Research, (1), 4.
  • UC Berkeley Learning Analytics Conference. [UC Berkeley ETS]. (2017, October 6). Learning analytics conference morning keynote, Tim McKay (Oct 6, 2017). Retrieved from https://www.youtube.com/watch?v=OkmvHAR2ea0
  • U.S. Department of Education. (2012). Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief. Retrieved from http://tech.ed.gov/wp-content/uploads/2014/03/edm-la-brief.pdf
  • Verbert, K., Govaerts, S., Duval, E., Santos, J., Assche, F., Parra, G., & Klerkx, J. (2014). Learning dashboards: an overview and future research opportunities. Personal & Ubiquitous Computing, 18(6), 1499-1514

Pedagogical Content Knowledge (PCK):

Technological Pedagogical Content Knowledge (TPACK):

TPACK & Content-Specific Instructional Planning:

TPACK Literature Reviews: