Online Master's Students Perceptions of Institutional Supports and Resources: Initial Survey Results
DOI:
https://doi.org/10.24059/olj.v19i4.549Keywords:
online, graduate, master's, distance education, higher education, grit, satisfactionAbstract
This article presents the quantitative findings of an exploratory mixed methods study that investigated first- and second-year online graduate master’s students’: 1) perceptions of the importance of, and satisfaction with, administrative, academic, technical, and online community supports; 2) personal factors and grit level; and 3) differences, if any, that existed among students, in these areas. Findings showed that a large majority of students rated course-level supports (e.g., instructor support, embedded help, library) as important, in contrast to supports that might be needed on rare occasions (e.g., career services, bookstore) or by fewer students (e.g., veteran and international student services, writing center). Data stratification revealed differences between white and non-white students for career and counseling services, which white students rated “unimportant” and non-white students rated “very important.” Differences in students’ perception of importance and satisfaction with some services highlighted instructor and technical support as areas of focus for potential improvements. The study raises several questions important to online graduate education, such as: which supports and resources should be offered by institutions of higher education to promote success in online learning for online master’s graduate students? Are there strategies that need to be developed to better address the individual needs of a diverse student body, including nontraditional students and underrepresented minorities?References
Ali, R., & Leeds, E. (2009). The impact of classroom orientation in online student retention. Online Journal of Distance Learning Administration, 12(4). Retrieved from http://www.westga.edu/~distance/ojdla/winter124/ali124.html
Allen, I. E., & Seaman, J. (2013). Changing course: Ten years of tracking online education in the United States. Wellesley, MA: Babson Survey Research Group and Quahog Research Group.
Allen, I. E., & Seaman, J. (2014). Grade change: Tracking online education in the United States. Wellesley, MA: Babson Survey Research Group and Quahog Research Group.
Allum, J. (2014). Graduate enrollment and degrees: 2003-2013. Washington, DC: Council of Graduate Schools. Retrieved from http://cgsnet.org/ckfinder/userfiles/files/GED_report_2013.pdf
Bean, J. P., & Metzner, B. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485-540.
Boston, W., Diaz, S. R., Gibson, A. M., Ice, P., Richardson, J., & Swan, K. (2009). An exploration of the relationship between indicators of the community of inquiry framework and retention in online programs. Journal of Asynchronous Learning Networks, 14 (1), 3-19.
Britto, M., & Rush, S. (2013). Developing and implementing comprehensive student support services for online students. Journal of Asynchronous Learning Networks, 17(1), 29-42.
Carroll, D., Ng, E., & Birch, D. (2013). Strategies to improve retention of postgraduate business students in distance education courses: An Australian case. Turkish Online Journal of Distance Education, 14(1), 140-153.
Council for Adult and Experiential Learning. (2012). Principles of effectiveness for serving adult learners. Retrieved from http://www.cael.org/alfi#Discover CAEL's Principles for Serving Adult Learners Effectively
Choy, S. (2002). Findings from the condition of education 2002: Nontraditional undergraduates. Washington, DC: National Center for Education Statistics. Retrieved from http://nces.ed.gov/pubs2002/2002012.pdf
Dare, L. A., Zapata, L. P., & Thomas, A. G. (2005). Assessing the needs of distance learners: A student affairs perspective. New Directions for Student Services, 112, 39-54.
Drouin, M. A. (2008). The relationship between students' perceived sense of community and satisfaction, achievement, and retention in an online course. The Quarterly Review of Distance Education, 9(3), 267-284.
Duckworth, A. L., Kirby, T. A., Tsukayama, E., Berstein, H., & Ericsson, K. A. (2011). Deliberate practice spells success why grittier competitors triumph at the national spelling bee. Social Psychological and Personality Science, 2(2), 174–181.
Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92(6), 1087–1101.
Duckworth, A. L., & Quinn, P. D. (2009). Development and validation of the Short Grit Scale (GRIT–S). Journal of personality assessment, 91(2), 166–174.
Duckworth, A. L., Quinn, P. D., & Seligman, M. E. P. (2009). Positive predictors of teacher effectiveness. The Journal of Positive Psychology, 4(6), 540–547.
Fetzner, M. (2013). What do unsuccessful online students want us to know? Journal of Asynchronous Learning Networks, 17(1), 13-27.
Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence and computer conferencing in distance education. The American Journal of Distance Education, 15(1), 7-23.
Gazza, E. A., & Hunker, D. F. (2014). Facilitating student retention in online graduate nursing education programs: A review of the literature. Nurse Education Today, 34(7), 1125-1129.
Hart, C. (2012). Factors associated with student persistence in an online program of Study: A review of the literature. Journal of Interactive Online Learning, 11(1), 19-42.
Haydarov, R., Moxley, V., & Anderson, D. (2012-2013). Counting chickens before they are hatched: An examination of student retention, graduation, attrition, and dropout measurement validity in an online master's environment. Journal of College Student Retention: Research, Theory and Practice, 14(4), 429-444.
Hirt, J. B., Cain, D., Bryant, B., & Williams, E. (2003). Cyberservices: What’s important and how are we doing. NASPA Journal, 40(2), 98–118.
Hyun, J. K., Quinn, B. C., Madon, T., & Lustig, S. (2006). Graduate student mental health: Needs assessment and utilization of counseling services. Journal of College Student Development, 47(3), 247-266.
Ivankova, N. V., & Stick, S. L. (2007). Students' persistence in a distributed doctoral program in educational leadership in higher education: A mixed methods study. Research in Higher Education, 48(1), 93-135.
Jones, K. R. (2013). Developing and implementing a mandatory online student orientation. Journal of Asynchronous Learning Networks, 17(1), 43-45.
Layne, M., Boston, W. E., & Ice, P. (2013). A longitudinal study of online learners: Shoppers, swirlers, stoppers, and succeeders as a function of demographic characteristics. Online Journal of Distance Learning Administration, 16(2). Retrieved from http://www.westga.edu/~distance/ojdla/summer162/layne_boston_ice162.html.
Lee, Y., & Choi, J. (2010). A review of online course dropout research: Implications for practice and future research. Education Technology Research & Development, 59(5), 593-618.
Lee, Y., Choi, J., & Kim, T. (2013). Discriminating factors between completers of and dropouts from online learning courses. British Journal of Educational Technology, 4(2), 328-337.
Lee. Y., & Choi, J. (2013). A structural equation model of predictors of online learning retention. Internet and Higher Education, 16, 36-42.
Lenrow, J. (2009). Peirce college and student success. Journal of Asynchronous Learning Networks, 13(3), 23-27.
Levy, Y. (2007). Comparing dropouts and persistence in e-learning courses. Computers in Education, 48(2), 185–204.
Moore, J. C., & Fetzner, M. J. (2009). The road to retention: A closer look at institutions that achieve high course completion rates. Journal of Asynchronous Learning Networks, 13(3), 3-22.
Morse, J. M. (2003). Principles of mixed methods and multimethod research design. In A. Tashakkori, & C. Teddlie (Eds.), Handbook of mixed methods in social & behavioral research (pp. 189–208). Thousand Oaks, CA: Sage.
National Center for Education Statistics. (2014). Enrollment in distance education courses, by state: Fall 2012. Washington, DC: US Department of Education. Retrieved from http://nces.ed.gov/pubs2014/2014023.pdf
Newberry, R., & DeLuca, C. (2014). Building a foundation for success through student services for online learners. Journal of Asynchronous Learning Networks, 17(4), 25-39.
Park, C. L., Bowman, J., Care, W. D., Edwards, M., & Perry, B. (2009). Persistence and attrition: what is being measured? Journal of College Student Retention, 10(2), 223-224.
Patterson, B., & McFadden, C. (2009). Attrition in online and campus degree programs. Online Journal of Distance Learning Administration, 12 (2). Retrieved from http://www.westga.edu/~distance/ojdla/summer122/patterson112.html
Pintz, C., & Posey, L. (2013). Preparing students for graduate study: An eLearning approach. Nurse Education Today, 33(7), 734-738.
Pontius, J. L., & Harper, S. R. (2006). Principles for good practice in graduate and professional student engagement. New Directions for Student Services, (115), 47-58.
Robertson-Kraft, C. & Duckworth, A. L. (2012). True grit: Trait-level perseverance and passion for long-term goals predicts effectiveness and retention among novice teachers. Teachers College Record, 116(3), 1-27.
Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. Internet and Higher Education, 6, 1-16.
Shea, P., & Bidjerano, T. (2014). Does online learning impede degree completion? A national study of community college students. Computers & Education, 75, 103-111.
Smith, D. G. (2012). Diversity in organizing higher education: A bridge to the future? In M. Bastedo (Ed.), The organization of higher education: Managing colleges for a new era (pp. 225-255). Baltimore, MD: Johns Hopkins University Press.
Swan, K. (2003). Learning effectiveness: what the research tells us. In J. Bourne & J. C. Moore (Eds.), Elements of Quality Online Education, Practice and Direction. (pp. 13-45). Needham, MA: Sloan Center for Online Education.
Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125.
Tinto, V. (1987). Leaving college. Chicago, IL: University of Chicago Press.
Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. Chicago, IL: University of Chicago Press.
Xu, D., & Jaggars, S. S. (2011, March). Online and hybrid course enrollment and performance in Washington state community and technical colleges. New York, NY: Teachers College, Columbia University. Retrieved from http://67.205.94.182
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