Conceptualizing Community Engagement: Starting a Campus-Wide Dialogue
Institutions of higher education are increasingly compelled to produce evidence that illustrates their contribution to society. In this age of demonstrating value added, self-assessment is critical for urban and metropolitan universities. This study will explore the design and implementation of a landscape analysis – phase one of an in-depth self-assessment – at the University of Nebraska at Omaha (UNO). This process is intended to help universities gain a better understanding of how community engagement is conceptualized and institutionalized on their campus. A thorough understanding of the meaning of, and linguistics associated with, community engagement is imperative for the creation of community engagement measurement and assessment mechanisms. The authors will share the methodology and key findings, which include the discovery of domains of community engagement and acknowledgement of a spectrum of engagement.
Charles, D., Benneworth, P., Conway, C. & Humprhey, L. (2010). How to benchmark university-community interactions. In Patricia Inman and Hans G. Schuetze (Eds.), The Community Engagement and Service Mission of Universities (p. 69-85). Leicester, UK: National Institute of Adult Continuing Education.
Committee on Institutional Cooperation. (2005). Engaged scholarship: A resource guide. Washington, DC.
Driscoll, A. (2008). Carnegie's community-engagement classification: Intentions and insights. Change: The Magazine of Higher Learning, 40(1), 38-41. https://doi.org/10.3200/CHNG.40.1.38-41
Getto, G. & McCunney, D. (2015). Inclusive assessment: Toward a socially-just methodology for measuring institution-wide engagement. Metropolitan Universities Journal, 26(2), p. 9-23.
Holton, V.L., Early, J.L., Jettner, J.F. & Shaw, K.K. (2015). Measuring community-university partnerships across a complex research university: Lessons and findings from a pilot enterprise data collection mechanism. Metropolitan Universities Journal, 26(2), p. 99-123.
Holton, V.L., Jettner, J.F., Early, J.L. & Shaw, K.K. (2015). Leveraging internal partnerships and existing data infrastructure to track and assess community engagement across the university. Metropolitan Universities Journal, 26(2), p. 75-98.
Janke, E.M. & Medlin, K.D. (2015). A centralized strategy to collect comprehensive institution-wide data from faculty and staff about community engagement and public service. Metropolitan Universities Journal, 26(2), p. 125-146.
Kolek, E. (2016. Measurement Matters: Estimating Students’ Community Engagement Participation. International Journal of Research on Service-Learning and Community Engagement, 4(1).
Maxwell, J.A. (2013). Qualitative research design: An interactive approach. Thousand Oaks, CA: SAGE
New England Resource Center for Higher Education. (n.d.). Carnegie community engagement classification. Retrieved October 11, 2015 from http://nerche.org/index.php?option=com_content&view=article&id=341&Itemid=92
Perry, L., Farmer, B., Onder, D., Tanner, B. & Burton, C. (2015). A community-based activities survey: Systematically determining the impact on and of faculty. Metropolitan Universities Journal, 26(2), p. 25-45.
Rosing, H. (2015). Tracking culture: The meanings of community engagement data collection in higher education. Journal of Metropolitan Universities, 26(2), p. 147-163.
Shields, P. M., & Rangarajan, N. (2013). A playbook for research methods: Integrating conceptual frameworks and project management. Stillwater, OK: New Forums Press.
Stanton-Nichols, K., Hatcher, J. & Cecil, A. (2015). Deepening the institutionalization of service-learning: The added value of assessing the social return of investment. Metropolitan Universities Journal, 26(2), p. 47-74
Turner, M. G., & Gardner, R. H. (Eds.). (1991). Quantitative methods in landscape ecology (p. 536). New York, NY: Springer Verlag. https://doi.org/10.1007/978-1-4757-4244-2
University of Nebraska at Omaha. (2012). Campus strategic plan. Omaha, NE. Retrieved from http://www.unomaha.edu/plan/our_plan.php
Wu, J. & Qi, Y. (2000) Dealing with scale in landscape analysis: An overview. Geographic Information Sciences, 6(1), p. 1-5. https://doi.org/10.1080/10824000009480528