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Learning Analytics Toolkit: Bibliography


Educause. Integrated planning and advising for student success (n.d.). Retrieved January 10, 2020, from

Educause(2011, April). Learning Analytics: The Coming Third Wave. Retrieved January 10, 2020, from

Educause. (2015, October). The Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Success. Retrieved January 10, 2020, from

Greller, W., & Drachsler, H. (2012). Translating Learning into Numbers: A Generic Framework for Learning Analytics. Journal of Educational Technology & Society15(3), 42–47.

Chen, K. (2014). Review of the Development of Learning Analytics Applied in College-Level Institutes. Journal of Educational Media & Library Sciences51(4), 597–636.

Learning Analytics Guiding Principles. (n.d.). Center for Academic Innovation. Retrieved January 10, 2020, from

Long, P. D., & Siemens, G. (2014). Penetrating the fog: Analytics in learning and education. TD Tecnologie Didattiche22(3), 132–137.

Papamitsiou, Z., & Economides, A. A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Journal of Educational Technology & Society17(4), 49–64.

Siemens, G. (2013). Learning Analytics: The Emergence of a Discipline. American Behavioral Scientist57(10), 1380–1400.

Viberg, O., Hatakka, M., Balter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in Human Behavior89, 98–110.

Wada, K., Williamson, J. &. Phillips, J. (2017). 7 Things You Should Know About How Learning Data Impacts Privacy. EDUCAUSE Learning Initiative.

Wilson, A., Watson, C., Thompson, T. L., Drew, V., & Doyle, S. (2017). Learning analytics: Challenges and limitations. Teaching in Higher Education22(8), 991–1017.

 Fidalgo-Blanco, A., LuisaSein-Echaluce, M., García-Peñalvo, F.J., & Ángel Conded. M. (2015). Using Learning Analytics to improve teamwork assessment. Computers in Human Behavior47, 149–156.

Schumacher,C. & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior78, 397–407.

Tempelaar,D.T., Rienties, B., & Nguyen, Q. (2017). Towards Actionable Learning Analytics Using Dispositions. IEEE Transactions on Learning Technologies10(1), 6–16.

Persico,D. & Pozzi, F. (2015). Informing learning design with learning analytics to improve teacher inquiry. British Journal of  Educational Technology46(2), 230–248.

Gašević, D., Dawson, S., Rogers, T. & Gasevic, D. (2016). Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success. The Internet and Higher Education28, 68–84.

Fritz, J., & Whitmer, J. (2017). Learning Analytics Research for LMS Course Design: Two Studies. EDUCAUSE Review

Jovanović,J., Gašević, D., Dawson,S., Pardo, A. & Mirriahi, N. (2017). Learning analytics to unveil learning strategies in a flipped classroom. The Internet and Higher Education33, 74–85.

Lockyer,L., Heathcote, E. & Dawson, S. (2013). Informing Pedagogical Action: Aligning Learning Analytics With Learning Design. American Behavioral Scientist57(10), 1439–1449.

Oakleaf, M., Brown, M., Hendrix, D., Lucia, J., & Walker, S. (n.d.). When Roles Collide: Librarians as Educators and the Question of Learning Analytics. Proceedings of the Eighteenth ACRL National Conference. Eighteenth ACRL National Conference, Cleveland, Ohio.

Pardo, A., Jovanovic, J., Dawson, S., Gašević, D., & Mirriahi, N. (2019). Using learning analytics to scale the provision of personalised feedback. British Journal of Educational Technology50(1), 128–138.

Approaching Student Success With Predictive Analytics. (n.d.). Student Success Programs. Retrieved January 10, 2020, from

Building Organizational Capacity for Analytics. (n.d.). Retrieved January 10, 2020, from

Dosal, P. (2019). Culture, Care, and Predictive Analytics at the University of South Florida. EDUCAUSE Review.

Integrated Planning and Advising for Student Success (iPASS). (n.d.). Retrieved January 10, 2020, from

Jisc. (n.d.). Effective Learning Analytics | Using data and analytics to support students. Retrieved January 10, 2020, from

National Association of Student Personnel Administrators, Association for Institutional Research Data and Decisions for Higher Education, & EDUCAUSE. (2018). Data and analytics for student success: A focus on collaboration between institutional research, student affairs, and informational technology

The iPASS Program's Enduring Effect on Student Success Initiatives. (n.d.). Retrieved January 10, 2020, from

Booth, H. A., & Hendrix, D. (2015). Libraries and Institutional Data Analytics: Challenges and Opportunities. The Journal of Academic Librarianship5(41), 695–699.

Cox, A., Gruber, A. M., & Neuhaus, C. (2019). Complexities of Demonstrating Library Value: An Exploratory Study of Research Consultations. Portal: Libraries and the Academy19(4), 577–590.

Data in the Library is Safe, But That’s Not What Data is Meant For: Exploring the Longitudinal, Responsible Use of Library and Institutional Data to Understand and Increase Student Success. (n.d.). Experts@Minnesota. Retrieved January 10, 2020, from

Nicholson,K.P., Pagowsky, N. & Seale, M. (2019). Just-in-Time or Just-in-Case? Time, Learning Analytics, and the Academic Library. Library Trends68(1), 54–75.

Krieb, D. (2018). Assessing the impact of reference assistance and library instruction on retention and grades using student tracking technology. Evidence Based Library and Information Practice13(2), 2–12.

Briney, K. (2019). Data Management Practices in Academic Library Learning Analytics: A Critical Review. Journal of Librarianship and Scholarly Communication7(1).

Jones, K. & Salo, D. (2018). Learning Analytics and the Academic Library: Professional Ethics Commitments at a Crossroads. College & Research Libraries79(3), 304–323.

Jantti, M. & Heath, J. (2016). What role for libraries in learning analytics? Performance Measurement and Metrics17(2), 203–210. 10.1108/PMM-04-2016-0020

Oakleaf, M., Whyte, Lynema, E. & Brown, M. (2017). Academic libraries & institutional learning analytics: One path to integration. The Journal of Academic Librarianship43(5), 454–461.

Oakleaf, M. (2018). Library Integration in Institutional Learning Analytics (LIILA)

Oakleaf, M. (2016, December 8). What’s Missing from Your Institutional Learning Analytics Initiatives? EDUCAUSE Review.

Oakleaf, M. (2018). The problems and promise of learning analytics for increasing and demonstrating library value and impact. Information and Learning Science

Oakleaf, M. (2019, February). “What Role Can University Libraries Play in Institutional Analytics?” EDUCAUSE Review

Oakleaf, M., & Kyrillidou, M. (2016). Revisiting the academic library value research agenda: An opportunity to shape the future. The Journal of Academic Librarianship42(6), 757–764.

Oakleaf, M., Nackerud, S., Fransen, J., Peterson, K., MacIntyre, R., Sharman, A., & Krieb, D. (2017). Data in the library is safe, but that’s not what data is meant for: Exploring the longitudinal, responsible use of library and institutional data to understand and increase student success. ACRL National Conference.

Oakleaf, M., Walter, S., & Brown, M. (2017). The academic library’s role in the next generation digital learning environment: Expanding support for student learning and success. EDUCAUSE Review.

Robertshaw, M. B., & Asher, A. (2019). Unethical Numbers? A Meta-analysis of Library Learning Analytics Studies. Library Trends68(1), 76–101.

Tami Oliphant, & Michael R. Brundin. (2019). Conflicting Values: An Exploration of the Tensions between Learning Analytics and Academic Librarianship. Library Trends68(1), 5–23.

Travis, T. A., & Ramirez, C. (2020). Big Data and Academic Libraries: The Quest for Informed Decision-Making. Portal: Libraries and the Academy20(1), 33–47.

American Library Association. (2007, May 29). State Privacy Laws Regarding Library Records. Advocacy, Legislation & Issues.

Alan Rubel, K. M. L. J. (2016). Student privacy in learning analytics: An information ethics perspective. The Information Society32(2), 143–159.

American Library Association. (2017, May 19). Professional Ethics. Tools, Publications & Resources.

Association for Institutional Research. (2019, September). AIR Statement of Ethical Principles | AIR. Retrieved January 10, 2020, from

Autumm, A., & Glass, E. (2019, October 14). Education before Regulation: Empowering Students to Question Their Data Privacy

Ferguson, R., Hoel, T., Scheffel, M., & Drachsler, H. (2016a). Guest editorial: Ethics and privacy in learning analytics.Journal of Learning Analytics3(1).

Ferguson, R., Hoel, T., Scheffel, M., & Drachsler, H. (2016b). Guest Editorial: Ethics and Privacy in Learning Analytics. Journal of Learning Analytics3(1).

Janicke-Hinchliffe, L. (2018, September 5). Privacy in User Research: Can You? The Scholarly Kitchen.

Jones, K. M., & McCoy, C. (2019). Reconsidering data in learning analytics: Opportunities for critical research using a documentation studies framework. Learning, Media and Technology44(1), 52–63.

Kitto, K., & Knight, S. (2019). Practical ethics for building learning analytics. British Journal of Educational Technology50(6), 2855–2870.

Laurie P. Dringus. (2012). Learning Analytics Considered Harmful. Journal of Asynchronous Learning Networks16(3), 87–100.

Learning Data & Analytics Key Principles | IMS Global Learning Consortium. (n.d.). Retrieved January 10, 2020, from

Library Privacy Statement | U-M Library. (n.d.). Retrieved January 10, 2020, from

Manai, J. (2015, November 6). The Learning Analytics Landscape: Tension Between Student Privacy and the Process of Data Mining. Carnegie Foundation for the Advancement of Teaching.

Monica D.T. Rysavy, & Russell Michalak. (2019). Data Privacy and Academic Libraries: Non-PII, PII, and Librarians’ Reflections (Part 1). Journal of Library Administration59(5), 532–547.

National Information Standards Organization. (2015, December 10). NISO Consensus Principles on Users’ Digital Privacy in Library, Publisher, and Software-Provider Systems (NISO Privacy Principles) | NISO website

Oliphant, T., & Brundin, M. R. (2019). Conflicting Values: An Exploration of the Tensions between Learning Analytics and Academic Librarianship. Library Trends68(1), 5–23.

Roberts, L. D., Howell, J. A., Seaman, K., & Gibson, D. C. (2016). Student attitudes toward learning analytics in higher education:“The fitbit version of the learning world.” Frontiers in Psychology7, 1959.

Russell Michalak, & Monica D. T. Rysavy. (2019). Data Privacy and Academic Libraries: Non-PII, PII, and Librarians’ Reflections (Part 2). Journal of Library Administration59(7), 768–785.

Schumacher, C., & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior78, 397–407.

Sclater, N. (2014). Code of practice for learning analytics. 64.

Sclater, N. (2015, March 3). A taxonomy of ethical, legal and logistical issues of learning analytics v1.0 | Effective Learning Analytics. Effective Learning Analytics

Sclater, N., & Bailey, P. (2015, June 4). Code of practice for learning analytics. Jisc.

Sherriff, G., Benson, D., & Atwood, G. (2019, April 11). Learning data in the library [Poster]. ACRL 2019, Cleveland, Ohio.

Wada, K., Williamson, J. &. Phillips, J. (2017). 7 Things You Should Know About How Learning Data Impacts Privacy. EDUCAUSE Learning Initiative.

West, D., Huijser, H., & Heath, D. (2016). Putting an ethical lens on learning analytics. Educational Technology Research and Development64(5), 903–922.

Williamson, J., & Phillips, J. (2017, January 3). Consenting Adults? Privacy in an Age of Liberated Learning Data