References

Adams Becker, S., Cummins, M., Davis, A., Freeman, A., Hall Giesinger, C., and Ananthanarayanan, V. (2017). NMC Horizon Report: 2017 Higher Education Edition. Austin, TX: The New Media Consortium. Retrieved from http://cdn.nmc.org/media/2017-nmc-horizon-report-he-EN.pdf

Aguilar, S., Lonn, S., & Teasley, S.D. (2014). Perceptions and use of an early warning system during a higher education transition program. Proceedings of the 4th International Conference on Learning Analytics and Knowledge, 113-117. doi: http://dx.doi.org/10.1145/2567574.2567625

Alabi, H. & Hatala, M. (2017). Best intentions: Learner feedback on learning analytics visualization design. Proceedings of the 7th International Conference on Learning Analytics and Knowledge (pp. 612-613). doi: http://dx.doi.org/10.1145/3027385.3029487

Arnold, K. E., Karcher, B., Wright, C. V., & McKay, J. (2017). Student empowerment, awareness, and self-regulation through a quantified-self student tool. Proceedings of the 7th International Conference on Learning Analytics and Knowledge (526-527). doi: http://dx.doi.org/10.1145/3027385.3029434

Arnold, K. & Pistilli, M. D. (2012). Course Signals at Purdue: Using learning analytics to increase student success. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 267-270). doi: https://doi.org/10.1145/2330601.2330666

Arnold, K., Lonn, S., Pistilli, M. (2014). An exercise in institutional reflection: The learning analytics readiness instrument (LARI). Proceedings of the 4th International Conference on Learning Analytics and Knowledge (pp. 163-167). doi: http://dx.doi.org/10.1145/2567574.2567621

Arroway, P., Morgan, G, O’Keefe, M., & Yanosky, R. (2016). Learning Analytics in Higher Education. Research report. Louisville, CO: ECAR. Retrieved from https://library.educause.edu/~/media/files/library/2016/2/ers1504la.pdf

Bates, T., Desbiens, B., Donovan, T., Martel, E., Mayer, D., Paul, R., Poulin, R., & Seaman, J. (2017). Tracking online and distance education in Canadian universities and colleges: 2017. The National Survey of Online and Distance Education in Canadian Post-Secondary Education, Vancouver, BC. Retrieved from https://onlinelearningsurveycanada.ca/

Bichsel, J.  (2012). Analytics in higher education: Benefits, barriers, progress, and recommendations (Research report). Louisville, CO: EDUCAUSE Center for Applied Research. Retrieved from https://library.educause.edu/~/media/files/library/2012/6/ers1207.pdf?la=en

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

de Freitas, S., Gibson, D., Du Plessis, C., Halloran, P., Williams, E., Ambrose, M., & et al. (2015) Foundations of dynamic learning analytics: Using university student data to increase retention. British Journal of Educational Technology, 46. 1175-1188. doi: https://doi.org/10.1111/bjet.12212

Duvall, E. (2011). Attention please! Learning analytics for visualization and recommendation. In Proceedings of LAK11 1st International Conference on Learning Analytics and Knowledge (pp. 9-17).  Banff, AB: ACM. doi: https://doi.org/10.1145/2090116.2090118

Few, S. (2013). Information dashboard design: Displaying data for at-a-glance monitoring. Burlingame, CA: Analytics Press. Retrieved from http://moverunlove.com/stephen-few–information-dashboard.pdf

Drachsler, H., & Greller, W. (2012). The pulse of learning analytics understandings and expectations from the stakeholders. Proceedings from the 2nd International Conference on Learning Analytics and Knowledge, 120-129. doi: https://doi.org/10.1145/2330601.2330634

Johnson, Reimann, Bull, & Fujita, (2011). Epistemic beliefs and open learner models. In Perez-Marin, D., Kravcik, M., & Santos, O.C. (Eds.). Proceedings of the International Workshop on Personalization Approaches in Learning Environments (pp. 19-24). Girona, Spain: Springer. Retrieved from http://ceur-ws.org/Vol-732/paper6.pdf

Jones, H. (2016). Ethical considerations in the use of student data: International perspecives and educators’ perceptions. In S. Barker, S. Dawson, A. Pardo, & C. Colvin (Eds.), Show Me the Learning. Proceedings of the ASCILITE 2016 Conference Adelaide (pp. 300-304). Retrieved from http://2016conference.ascilite.org/wp-content/uploads/ascilite2016_jonesh_concise.pdf

Kruse, K. & Pongsapan, R. (2012). Student-centered learning analytics. CNDLS Though Papers. Retrieved from https://cndls.georgetown.edu/m/documents/thoughtpaper-krusepongsajapan.pdf

Lester, J., Klein, C., Rangwala, H., & Johri, A. (2017). Learning Analytics in Higher Education. ASHE Higher Education Report, 43(5), 9-135.

Long, P. & Siemens, G. (2011). Penetrating the Fog: Analytics in Learning and Education. Educause Review, 46(5). 31-40. Retrieved from https://er.educause.edu/articles/2011/9/penetrating-the-fog-analytics-in-learning-and-education

Manyika, J., Chui, M., Brown, B., et al. (2011) Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute. Retrieved from https://bigdatawg.nist.gov/pdf/MGI_big_data_full_report.pdf

Minović, M., Milanović, M., Sosevic, M. A., & Conde-González, M. A. (2015). Visualization of student learning model in serious games. Computers in Human Behavior, 47, 98-107. doi: https://doi.org/10.1016/j.chb.2014.09.005

Norris, D.M., & Baer, L. L. (2013). Building organizational capacity for analytics. Louisville, CO: EDUCAUSE Center for Applied Research. Retrieved from https://library.educause.edu/resources/2013/2/building-organizational-capacity-for-analytics

Ochoa, X., Hershkovitz, A., Wise, A., & Knight, S. (2017). Towards a convergent development of learning analytics. Journal of Learning Analytics, 4(3), 1-6.  https://doi.org/10.18608/jla.2017.43.1

Okan, Y., Garcia-Retamero, R., Galesic, M., & Cokely, E. T. (2012). When higher bars are not larger quantities: On individual differences in the use of spatial information in graph comprehension. Spatial Cognition & Computation, 12(2-3), 195-218. Doi: https://doi.org/10.1080/13875868.2012.659302

Pardo, A. & Siemens, G. (2014). Ethical and privacy principles for learning analytics. British Journal of Educational Technology, 45(3), 438-450. doi: https://doi.org/10.1111/bjet.12152

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 Psychology, 7. doi: https://doi.org/10.3389/fpsyg.2016.01959

Romero, C.,  & Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33(1), 135-146. doi: https://doi.org/10.1016/j.eswa.2006.04.005  Sclater, N. (2017). Learning analytics explained. New York, NY: Routledge.

Sclater, N., Peasgood, A., & Mullan, J. (2016). Learning Analytics in Higher Education: A review of UK and international practice. London, UK: JISC. Retrieved from https://analytics.jiscinvolve.org/wp/2016/04/19/learning-analytics-in-higher-education-a-review-of-uk-and-international-practice/

Schultz, J. (2017). How much data is created on the Internet Each Day? Retrieved from https://blog.microfocus.com/how-much-data-is-created-on-the-internet-each-day/

Siadaty, M., Gasevic, D., & Hatala, M. (2016). Associations between technological scaffolding and micro-level processes of self-regulated learning: A workplace study. Computers in Human Behavior, 55, 1007-1019. doi: https://doi.org/10.1016/j.chb.2015.10.035

Skene, A. Murphy, S., Fujita, N., & Stolarchuk, L. (2017). The Ethics of “Big Data” in SoTL: Comparing the American and Canadian Experiences. Paper presented at the Windsor-Oakland Teaching and Learning Conference, Windsor, ON. [enter google link]

Vatrapu, R., Teplovs, C., Fujita, N. & Bull, S. (2011). Towards visual analytics for teachers’ dynamic diagnostic pedagogical decision-making. Proceedings of LAK11 1st International Conference on Learning Analytics and Knowledge (pp. 147-152). Banff, AB: ACM. doi: https://doi.org/10.1145/2090116.2090129

West, D., Heath, D., & Huijser, H. (2016). Let’s Talk Learning Analytics. Online Learning Journal, 20(2). doi: http://dx.doi.org/10.24059/olj.v20i2.792

Whitelock-Wainwright, A., Gasevic, D., & Tejeiro, R. (2017). What do students want? Towards an instrument for students’ evaluation of quality of learning analytics services. Proceedings of LAK17 International Conference on Learning Analytics and Knowledge (pp. 368-372). Doi: https://doi.org/10.1145/3027385.3027419

Willis, J. E., Slade, S., and Prinsloo, P. (2016). Ethical oversight of student data in learning analytics: A typology derived from cross-continental, cross-institutional perspective. Educational Technology Research and Development, 64(2016), 881-901. doi: https://doi.org/10.1007/s11423-016-9463-4

Wilson, A., Watson, C., Thompson, T.L., Drew, V., & Doyle, S. (2017). Learning analytics: Challenges and limitations. Teaching in Higher Education, 22(8), 991-1007. doi: https://doi.org/10.1080/13562517.2017.1332026

Wise, A. F. (2014). Designing pedagogical interventions to support student use of learning analytics. Proceedings of LAK14 International Conference on Learning Analytics and Knowledge (pp. 203-211). Indianapolis, ID: ACM. doi: https://doi.org/10.1145/2567574.2567588

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