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Learning Analytics Toolkit: Bibliography

Bibliography

Educause. Integrated planning and advising for student success (n.d.). Retrieved January 10, 2020, from https://library.educause.edu/topics/information-technology-management-and-leadership/integrated-planning-and-advising-for-student-success-ipass

Educause(2011, April). Learning Analytics: The Coming Third Wave. Retrieved January 10, 2020, from https://library.educause.edu/resources/2011/4/learning-analytics-the-coming-third-wave

Educause. (2015, October). The Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Success. Retrieved January 10, 2020, from https://library.educause.edu/resources/2015/10/the-predictive-learning-analytics-revolution-leveraging-learning-data-for-student-success

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. https://doi.org/10.6120/JoEMLS.2014.514/0612.RV.CM

Learning Analytics Guiding Principles. (n.d.). Center for Academic Innovation. Retrieved January 10, 2020, from https://ai.umich.edu/learning-analytics-guiding-principles/

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. https://doi.org/10.1177/0002764213498851

Viberg, O., Hatakka, M., Balter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in Human Behavior89, 98–110. https://doi.org/10.1016/j.chb.2018.07.027

Wada, K., Williamson, J. &. Phillips, J. (2017). 7 Things You Should Know About How Learning Data Impacts Privacy. EDUCAUSE Learning Initiative. https://library.educause.edu/resources/2017/5/7-things-you-should-know-about-how-learning-data-impacts-privacy

Wilson, A., Watson, C., Thompson, T. L., Drew, V., & Doyle, S. (2017). Learning analytics: Challenges and limitations. Teaching in Higher Education22(8), 991–1017. https://doi.org/10.1080/13562517.2017.1332026

 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. https://doi.org/10.1016/j.chb.2014.11.050

Schumacher,C. & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior78, 397–407. https://doi.org/10.1016/j.chb.2017.06.030

Tempelaar,D.T., Rienties, B., & Nguyen, Q. (2017). Towards Actionable Learning Analytics Using Dispositions. IEEE Transactions on Learning Technologies10(1), 6–16. https://doi.org/10.1109/TLT.2017.2662679

Persico,D. & Pozzi, F. (2015). Informing learning design with learning analytics to improve teacher inquiry. British Journal of  Educational Technology46(2), 230–248. https://doi.org/10.1111/bjet.12207

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. https://doi.org/10.1016/j.iheduc.2015.10.002

Fritz, J., & Whitmer, J. (2017). Learning Analytics Research for LMS Course Design: Two Studies. EDUCAUSE Reviewhttps://er.educause.edu/articles/2017/2/learning-analytics-research-for-lms-course-design-two-studies

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. https://doi.org/10.1016/j.iheduc.2017.02.001

Lockyer,L., Heathcote, E. & Dawson, S. (2013). Informing Pedagogical Action: Aligning Learning Analytics With Learning Design. American Behavioral Scientist57(10), 1439–1449. https://doi.org/10.1177/0002764213479367

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. http://www.ala.org/acrl/sites/ala.org.acrl/files/content/conferences/confsandpreconfs/2019/WhenRolesCollide.pdf

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. https://doi.org/10.1111/bjet.12592

Approaching Student Success With Predictive Analytics. (n.d.). Student Success Programs. Retrieved January 10, 2020, from https://success.gsu.edu/approach/

Building Organizational Capacity for Analytics. (n.d.). Retrieved January 10, 2020, from https://library.educause.edu/resources/2013/2/building-organizational-capacity-for-analytics

Dosal, P. (2019). Culture, Care, and Predictive Analytics at the University of South Florida. EDUCAUSE Review. https://er.educause.edu/articles/2019/12/culture-care-and-predictive-analytics-at-the-university-of-south-florida

Integrated Planning and Advising for Student Success (iPASS). (n.d.). Retrieved January 10, 2020, from https://library.educause.edu/topics/information-technology-management-and-leadership/integrated-planning-and-advising-for-student-success-ipass

Jisc. (n.d.). Effective Learning Analytics | Using data and analytics to support students. Retrieved January 10, 2020, from https://analytics.jiscinvolve.org/wp/

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 technologyhttps://www.naspa.org/images/uploads/main/DATA2018_PRIMER_DOWNLOAD.pdf

The iPASS Program's Enduring Effect on Student Success Initiatives. (n.d.). Retrieved January 10, 2020, from https://er.educause.edu/blogs/2018/8/the-ipass-programs-enduring-effect-on-student-success-initiatives

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 https://experts.umn.edu/en/activities/data-in-the-library-is-safe-but-thats-not-what-data-is-meant-for-

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. https://doi.org/doi:10.1353/lib.2019.0030

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). https://doi.org/DOI: http://doi.org/10.7710/2162-3309.2268

Jones, K. & Salo, D. (2018). Learning Analytics and the Academic Library: Professional Ethics Commitments at a Crossroads. College & Research Libraries79(3), 304–323. https://doi.org/10.5860/crl.79.3.304

Jantti, M. & Heath, J. (2016). What role for libraries in learning analytics? Performance Measurement and Metrics17(2), 203–210. https://doi.org/DOI 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. https://doi.org/10.1016/j.acalib.2017.08.008

Oakleaf, M. (2018). Library Integration in Institutional Learning Analytics (LIILA)https://library.educause.edu/-/media/files/library/2018/11/liila.pdf

Oakleaf, M. (2016, December 8). What’s Missing from Your Institutional Learning Analytics Initiatives? EDUCAUSE Review. https://er.educause.edu/blogs/2016/12/whats-missing-from-your-institutional-learning-analytics-initiatives

Oakleaf, M. (2018). The problems and promise of learning analytics for increasing and demonstrating library value and impact. Information and Learning Sciencehttps://doi.org/10.1108/ILS-08-2017-0080

Oakleaf, M. (2019, February). “What Role Can University Libraries Play in Institutional Analytics?” EDUCAUSE Reviewhttps://er.educause.edu/blogs/2019/2/what-role-can-university-libraries-play-in-institutional-analytics

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. https://doi.org/10.1353/lib.2019.0031

Tami Oliphant, & Michael R. Brundin. (2019). Conflicting Values: An Exploration of the Tensions between Learning Analytics and Academic Librarianship. Library Trends68(1), 5–23. https://doi.org/doi:10.1353/lib.2019.0028.

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. http://www.ala.org/advocacy/privacy/statelaws

Alan Rubel, K. M. L. J. (2016). Student privacy in learning analytics: An information ethics perspective. The Information Society32(2), 143–159. https://doi.org/10.1080/01972243.2016.1130502

American Library Association. (2017, May 19). Professional Ethics. Tools, Publications & Resources. http://www.ala.org/tools/ethics

Association for Institutional Research. (2019, September). AIR Statement of Ethical Principles | AIR. Retrieved January 10, 2020, from https://www.airweb.org/ir-data-professional-overview/statement-of-ethical-principles

Autumm, A., & Glass, E. (2019, October 14). Education before Regulation: Empowering Students to Question Their Data Privacyhttps://er.educause.edu/articles/2019/10/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). https://doi.org/10.18608/jla.2016.31.2

Ferguson, R., Hoel, T., Scheffel, M., & Drachsler, H. (2016b). Guest Editorial: Ethics and Privacy in Learning Analytics. Journal of Learning Analytics3(1). https://doi.org/10.18608/jla.2016.31.2

Janicke-Hinchliffe, L. (2018, September 5). Privacy in User Research: Can You? The Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2018/09/05/privacy-in-user-research-can-you/

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. https://doi.org/10.1111/bjet.12868

Laurie P. Dringus. (2012). Learning Analytics Considered Harmful. Journal of Asynchronous Learning Networks16(3), 87–100.  http://dx.doi.org/10.24059/olj.v16i3.272

Learning Data & Analytics Key Principles | IMS Global Learning Consortium. (n.d.). Retrieved January 10, 2020, from http://www.imsglobal.org/learning-data-analytics-key-principles

Library Privacy Statement | U-M Library. (n.d.). Retrieved January 10, 2020, from https://www.lib.umich.edu/library-administration/library-privacy-statement

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. https://www.carnegiefoundation.org/blog/the-learning-analytics-landscape-tension-between-student-privacy-and-the-process-of-data-mining/

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. https://doi.org/10.1080/01930826.2019.1616973

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 websitehttps://www.niso.org/publications/privacy-principles

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. https://doi.org/10.1080/01930826.2019.1649969

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 Analyticshttps://analytics.jiscinvolve.org/wp/2015/03/03/a-taxonomy-of-ethical-legal-and-logistical-issues-of-learning-analytics-v1-0/

Sclater, N., & Bailey, P. (2015, June 4). Code of practice for learning analytics. Jisc. https://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics

Sherriff, G., Benson, D., & Atwood, G. (2019, April 11). Learning data in the library [Poster]. ACRL 2019, Cleveland, Ohio. https://acrl2019-acrl.ipostersessions.com/default.aspx?s=63-5F-5B-53-85-B0-DA-90-FB-6C-00-23-F3-0E-D5-04&kiosk=true&lnkmod=0

Wada, K., Williamson, J. &. Phillips, J. (2017). 7 Things You Should Know About How Learning Data Impacts Privacy. EDUCAUSE Learning Initiative. https://library.educause.edu/resources/2017/5/7-things-you-should-know-about-how-learning-data-impacts-privacy

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 Datahttps://er.educause.edu/articles/2017/1/consenting-adults-privacy-in-an-age-of-liberated-learning-data