References – learning analytics project


Bichsel, J. (2012). Analytics in higher education: Benefits, barriers, progress, and recommendations (Research report) [PDF file]. Educause Center for Applied Research.

CanvasLMS. (2017, August 29). Canvas data for the rest of us – Jonathan Thomas, Qin Li [Video]. YouTube.

Guarcello, M. Feng, L., Shahriar, P., Machajewski, S., & Ham, M., (2021, August 24). Discrimination in a sea of data: exploring the ethical implications of student success analytics. Educause.

Heath, M. (2020). Buried treasure or ill-gotten spoils: the ethics of data mining and learning analytics in online instruction [PDF file]. Education Tech Research Dev.

Lockyer, L., Heathcote, E., Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist 57(10) 1439–1459.

Marachi, R., & Quill, L. (2020) The case of Canvas: Longitudinal datafication through learning management systems. Teaching in Higher Education, 25(4), 418-434.

Parnell, A., Wesaw, D., Brooks, C. (2018). Data and analytics for students success: A focus on collaboration between institutional research, student affairs, and information technology [PDF file]. NASPA Student Affairs Administrators in Higher Education, Association for Institutional Research, and Educause.

Richards, G. (2011). Measuring engagement: Learning analytics in online learning. Invited paper presented at “Electronic Kazan 2011” on 19 April 2011, Kazan, Tatarstan, Russian Federation.

Salihoun, M., (2020). State of the art of data mining and learning analytics tools in higher education. International Journal of Emerging Technologies in Learning, 15(21).

Slade, S. (2016). Applications of student data in higher education: Issues and ethical considerations. Ithaka S+R.

Taylor, S., Munguia, P. (2018) Towards a data archiving solution for learning analytics. LAK ’18: Proceedings of the 8th International Conference on Learning Analytics and Knowledge.

UDL on Campus: Universal Design for Learning in Higher Education. (n.d.). Using LMS data to inform course design.

Zeide, E. (2019, August 26). Artificial intelligence in higher education: Applications, promise and perils, and ethical questions. Educause Review.