Engaging Faculty in Learning Analytics: Agents of Institutional Culture Change

Authors

  • George Rehrey Indiana University Bloomington
  • Linda Shepard Indiana University Bloomington
  • Carol Hostetter Indiana University Bloomington
  • Amberly Maurine Reynolds Indiana University Bloomington
  • Dennis Groth Indiana University Bloomington

DOI:

https://doi.org/10.18608/jla.2019.62.6

Keywords:

learning analytics, learning community, student success, agents of change, “big data”

Abstract

To successfully implement Learning Analytics (LA) systems within higher education, we need to engage administrators, faculty, and staff alike. This paper is by and primarily for practitioners. We suggest implementation strategies that consider the human factor in adopting new technologies by analyzing the viability of our Learning Analytics Fellows Program (LAFP), where faculty are empowered as agents of institutional change. This program directly addresses known barriers to the use of LA, dealing with culture management, adoption, and sustainability. The Fellows program engages faculty in inquiry about student success, providing them with a view of the student experience through institutional data. Faculty, with their knowledge of students and programs as well as their research expertise, are well-positioned to advance LA efforts on our campuses. In our case, faculty are also the end users of their findings, and are able to provide input into the design of the analytical tools created for them. Expanding on a paper presented at the LAK 18 conference (Rehrey, Groth, Fiorini, Hostetter, & Shepard, 2018), we describe the rationale for the implementation strategy, reflect on the effectiveness of this strategy by analyzing self-reports from our LAFP, and consider the broader impacts of this approach for the future.

Author Biographies

George Rehrey, Indiana University Bloomington

George Rehrey is the founding director of Indiana University’s new Center for Learning Analytics and Student Success (CLASS). Prior to this new appointment, he was the director of the Scholarship of Teaching and Learning Program at Indiana University Bloomington for more than a decade.  George serves on the Steering Committee of the Bay View Alliance, an international organization created to transform the teaching and learning culture in STEM departments.

 

Linda Shepard, Indiana University Bloomington

Linda Shepard is the Senior Assistant Vice Provost for Undergraduate Education and Director of Bloomington Assessment and Research at Indiana University.  She provides leadership for the campus in the development of institutional resources used to inform campus policy, strategic initiatives and program assessment and is a frequent presenter at state and national institutional research meetings.

Carol Hostetter, Indiana University Bloomington

Carol Hostetter is Professor in the School of Social Work at Indiana University.  Dr. Hostetter has been a leader in Indiana University’s teaching academy, as well as in the university’s Scholarship of Teaching and Learning program. Notable articles are on social presence in online learning, published in the Journal of the Scholarship of Teaching and Learning. Current SOTL grants and publications focus primarily on undergraduate research and social rewards in faculty development. 

Amberly Maurine Reynolds, Indiana University Bloomington

Currently a PhD student in Anatomical Education, Amberly Reynolds is the graduate assistant at the Center for Learning Analytics and Student Success. A clinical anatomist by trade (M.S.), Amberly is interested in educational equity, learning analytics and improving anatomical education at secondary through post-secondary institutions. 

Dennis Groth, Indiana University Bloomington

Dennis Groth is the Vice Provost for Undergraduate Education at Indiana University Bloomington.  His responsibilities include initiatives aimed at enhancing student success, faculty excellence in teaching, and programs in academic advising, such as undergraduate student support and general education assessment. He is also an Associate Professor of Informatics, with a research focus on the development of new database access and data mining techniques in support of data visualization activities, as well as understanding models of exploration in digital environments.

References

AAU (Association of American Universities). (2017). Progress toward achieving systemic change: A five-year status report on the AAU undergraduate STEM education initiative. Washington, D.C. Retrieved from https://www.aau.edu/sites/default/files/AAU-Files/STEM-Education-Initiative/STEM-Status-Report.pdf

Austin, A. E. (2013). Promoting evidence-based change in undergraduate science education. Fourth Committee Meeting on Status, Contributions, and Future Directions of Discipline-Based Education Research, 2011. Retrieved from https://ascnhighered.org/ASCN/resources/178895.html

Baepler, P., & Murdoch, C. (2010). Academic analytics and data mining in higher education. International Journal for the Scholarship of Teaching and Learning, 4(2). https://doi.org/10.20429/ijsotl.2010.040217

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

Cox, M. (2017). Faculty learning communities: Change agents for transforming institutions into learning organizations. To Improve the Academy, 19(1), 69–93. https://doi.org/10.1002/j.2334-4822.2001.tb00525.x

Ebert-May, D., Derting, T. L., Hodder, J., Momsen, J. L., Long, T. M., & Jardeleza, S. E. (2011). What we say is not what we do: Effective evaluation of faculty professional development programs. BioScience, 61(7), 550–558. https://doi.org/10.1525/bio.2011.61.7.9

Fairweather, J. (2008). Linking evidence and promising practices in science, technology, engineering, and mathematics (STEM) undergraduate education. Washington, DC: Board of Science Education, National Research Council, The National Academies. Retrieved from https://www.nsf.gov/attachments/117803/public/Xc--Linking_Evidence--Fairweather.pdf

Ferguson, R., Macfadyen, L. P., Clow, D., Tynan, B., Alexander, S., & Dawson, S. (2014). Setting learning analytics in context: Overcoming the barriers to large-scale adoption. Journal of Learning Analytics, 1(3), 120–144. https://doi.org/10.18608/jla.2014.13.7

Kezar, A., & Gehrke, S. (2015). Communities of transformation and their work scaling STEM reform. Pullias Center for Higher Education. Retrieved from http://www.uscrossier.org/pullias/wp-content/uploads/2016/01/communities-of-trans.pdf

Long, P., & Siemens, G. (2011). Penetrating the fog: Analytics in learning and education. Retrieved from https://er.educause.edu/articles/2011/9/penetrating-the-fog-analytics-in-learning-and-education

Macfadyen, L., & Dawson, S. (2012). Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Educational Technology and Society, 15(3), 149–163. Retrieved from https://www.researchgate.net/publication/268367045_Numbers_Are_Not_Enough_Why_e-Learning_Analytics_Failed_to_Inform_an_Institutional_Strategic_Plan

Macfadyen, L. P., Dawson, S., Pardo, A., & Gašević, D. (2014). Embracing big data in complex educational systems: The learning analytics imperative and the policy challenge. Research and Practice in Assessment, 9(2), 17–28. Retrieved from http://www.rpajournal.com/dev/wp-content/uploads/2014/10/A2.pdf

Rehrey, G., Groth, D., Fiorini, S., Hostetter, C., & Shepard, L. (2018). Implementation of a student learning analytics fellows program. In A. Pardo, K. Bartimote, G. Lynch, S. Buckingham Shum, R. Ferguson, A. Merceron, & X. Ochoa (Eds.), Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 93–100). Sydney, Australia: Society for Learning Analytics Research. http://solaresearch.org/uploads/LAK18_Companion_Proceedings.pdf

Rehrey, G., Groth, D., Shepard, L., & Hostetter, C. (2019). The scholarship of teaching, learning and student success: Big data and the landscape of new opportunities. In J. Friberg & K. McKinney (Eds.), Conducting and applying SoTL beyond the individual classroom level. Bloomington, IN: Indiana University Press.

Reinholz, D., & Apkarian, N. (2018). Four frames for systemic change in STEM departments. International Journal of STEM Education, 5(3). https://doi.org/10.1186/s40594-018-0103-x

Tagg, J. (2008). Changing minds in higher education: Students change, so why can’t colleges? Planning for Higher Education, 37(1), 15–22. Retrieved from https://www.researchgate.net/publication/242602051_Changing_Minds_in_Higher_Education_Students_Change_So_Why_Can’t_Colleges

Tagg, J. (2012). Why does the faculty resist change? Change: The Magazine of Higher Learning, 44(1), 6–15. https://doi.org/10.1080/00091383.2012.635987

Wenger-Trayner, E., & Wenger-Trayner, B. (2015). Introduction to communities of practice: A brief overview of the concept and its uses. Retrieved from http://wenger-trayner.com/introduction-to-communities-of-practice/

Williams, A., Verwood, R., Beery, T., Dalton, H., McKinnon, J., Strickland, K., Pace, J., & Poole, G. (2013). The power of social networks: A model for weaving the scholarship of teaching and learning into institutional culture. Teaching & Learning Inquiry: The ISSOTL Journal, 1(2), 49–62. https://doi.org/10.20343/teachlearninqu.1.2.49

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Published

2019-07-22

How to Cite

Rehrey, G., Shepard, L., Hostetter, C., Reynolds, A. M., & Groth, D. (2019). Engaging Faculty in Learning Analytics: Agents of Institutional Culture Change. Journal of Learning Analytics, 6(2), 86–94. https://doi.org/10.18608/jla.2019.62.6

Issue

Section

Special Section: Human-Centred Learning Analytics