E-Learning in Undergraduate Humanities Classes: Unpacking the Variables
Article
Robert Friedman, Norbert Elliot, Blake Haggerty, New Jersey Institute of Technology, United States
International Journal on E-Learning, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
This study describes the design, implementation, and analysis of three related surveys launched to investigate E-Learning in undergraduate humanities classes at a public technological research university. Examined are the independent variables of learning style, general expectation, and interaction. The surveys were administered in the summer of 2006 (Survey 1, n = 108 [41.53% return], Survey 2, n = 89 [34.23% return], Survey 3, n = 62 [23.85% return] and fall of 2006 (Survey 1, n = 68 [50.75% return], Survey 2, n = 58 [43.28% return], Survey 3, n = 58 [52.25% return]. Modest to high correlations and statistically significant relationships identified among survey questions designed to explore the three independent variables led the researchers to create constructed scales based on those variables. When the dependent variable of expected course grade was used to hypothesize a relationship based on performance, the model was weak (R2 = .17, F(5, 51) = 2.092, p = .1). However, when a new dependent variable was constructed, based on Zhang and Sternberg’s (2005, 2006) Type II learning styles – those expressing a preference for structure, cognitive simplicity, conformity – the model was strengthened (R2 = .227, F(4, 52) = 3.816, p = .01). It appears that learning style, general expectations, and interaction are more related to the instructor’s online presence than to standard criterion variables such as course grade. Because little is known about E-Learning of humanities classes, examining complex variable relationships allows researchers to explore a new educational field.
Citation
Friedman, R., Elliot, N. & Haggerty, B. (2010). E-Learning in Undergraduate Humanities Classes: Unpacking the Variables. International Journal on E-Learning, 9(1), 51-77. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/primary/p/28247/.
© 2010 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz, (Ed.), Advances in Experimental Social Psychology (Vol. 2, pp. 267-299). New York: Academic Press.
- Andrusyszyn, M.A., Cragg, B., & Humbert, J. (2001). Nurse practitioner preferences for distance education methods related to learning style, course content and achievement. Journal of Nursing Education, 40, 163- 170.
- Aragon, S. R., Johnson, S. D., & Shaik, N. (2002). The influence of learning style preferences on student success in online versus face-to-face environments. American Journal of Distance Education, 16, 227-244.
- Bolter, J. D., & Grusin, R. (2000). Remediation: Understanding the new media. Cambridge: MA, MIT Press.
- Brennan, R. L. (2006). Perspectives on the evolution and future of educational measurement. In R. L. Brennan (Ed.) . Educational measurement (4th ed., pp. 1-16). Westport, CT: Praeger.
- Cereijo, M. V. P. (2006). Attitude as predictor of success in online training. International Journal on E-Learning, 5, 623-639.
- Copley, J. (2007). Audio and video podcasts of lectures for campus-based students: production and evaluation of student use. Innovations in Education and Teaching International, 44, 387-399. Crawford, D.L. (2006). Characteristics leading to student success: A study of online learning environments. Unpublished doctoral dissertation, Texas A&M University-Commerce.
- Dabbagh, N., & Kitsantas, A. (2005). The role of web-based pedagogical tools in supporting student self-regulation in distributed learning environments. Instructional Science, 25, 24-37. Dertouzos, M. L. (1991, September). Communication, computers, and networks. Scientific American, 62-69.
- DeTure, M. (2004). Cognitive style and self-efficacy: Predicting student success in online distance education. American Journal of Distance Education, 18, 21-38.
- Elliot, N., Briller, V., & Joshi, K. (2007). Portfolio assessment: Quantification and community. Journal of Writing Assessment, 3, 5-29.
- Elliot, N, Friedman, R., & Briller, V. (2005, June). Irony and asychronicity: Interpreting withdrawal rates in e-learning courses. Paper presented at the meeting of the Ed-Media World Conference on Educational Multimedia, Hypermedia, and Telecommunications, Montreal, Canada.
- Erickson, T., & Kellog, W. (2000). Social translucence: An approach to designing systems that support social processes. ACM Transactions on Computer-Human Interaction, 7, 59-83.
- Felder, R., & Brent, R. (1996). Navigating the bumpy road to student-centered instruction. College Teaching, 44(2), 43-47.
- Frey, A., Faul, A., & Yankelov, P. (2003). Student strategies of web-assisted teaching strategies, Journal of Social Work Education, 39, 443-457.
- Gao, Z., Varma, V., & Houck, C. (2006, June). Investigation of developing and delivering an online course in construction management. Paper presented at the meeting of the ASEE Annual Conference & Exposition: Excellence in Education, Chicago, IL.
- Grigorovici, D., Nam, S., & Russil, C. (2003). The effects of online syllabus interactivity on students’ perception of the course and instructor. Internet and Higher Education, 6, 41-52. Institute for Higher Education Policy. (1999). A review of contemporary research on the effectiveness of distance learning in higher education. Washington, DC: The Institute for Higher Education Research.
- Jamison, T. M. (2003). Ebb from the web: Using motivational systems theory to predict student completion of asynchronous web-based distance education courses. Unpublished doctoral dissertation, George Mason University.
- Katz, I. R., Elliot, N., Attali, Y., Scharf, D., Powers, D., Huey, H., Joshi, K., & Briller, V. (2008). The assessment of information Literacy: A case study (ETS Research Rpt. No 08-33.) Princeton, NJ: Educational Testing Service.
- Kinneavy, J. L. (1971). A theory of discourse. New York: Norton.
- Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice-Hall.
- Leners, D.W., & Sitzman, K. (2006). Graduate student perceptions: Feeling the passion of caring online. Nursing Education Perspectives, 27, 315-319.
- Ley, K., & Young, D. B. (2001). Instructional principles for self-regulation. Educational Technology Research and Development, 49, 93–103.
- MacArthur, C. A., Graham, S., & Fitzgerald, J. (2006). Handbook of writing research. New York: Guilford Press.
- Memon, A., Shih, L., & Thinger, B. (2006, June). Development and delivery of nuclear engineering online courses: The Excelsior College experience. Paper presented at the meeting of the ASEE Annual Conference & Exposition: Excellence in Education, Chicago, IL.
- Messick, S. (1994). The interplay of evidence and consequences in the validation of performance assessments. Educational Researcher, 23, 13-23.
- Millwood, R., & Terrell, I. (2005). Overview: New technology, learning and assessment in higher education. Innovations in Education & Teaching International, 42, 195-204.
- Moore, M. G. (1973). Toward a theory of independent teaching and learning. The Journal of Higher Education, 44, 661-679.
- Moore, M. G. (2007). The theory of transactional distance. In M. G. Moore (Ed.), Handbook of Distance Education (2nd ed., pp. 89-105). New Jersey: Earlbaum.
- Moskal, P., Dziuban, C., Upchurch, R., Hartman, J., & Truman, B. (2006). Assessing online learning: What one university learned about student success, persistence, and satisfaction. Peer Review, 8(4), 26-29.
- Naidu, S. (2007). Instructional designs for optimal learning. In M. G. Moore (Ed.), Handbook of Distance Education (2nd ed., pp. 247-258). New Jersey: Earlbaum
- National Center for Education Statistics (2003). Distance learning in higher education institutions: 2000-2001. (Rep. No. NCES 2003-017). Washington, DC: National Center for Education Statistics.
- Palloff, R.M., & Pratt, K. (2003). The virtual student: A profile and guide to working with online learners. San Francisco, CA: Jossey-Bass.
- Potter, A. (2008). Interactional coherence in asynchronous learning networks: A rhetorical approach. Internet in Higher Education, 11(2), 87-97.
- Sahin, S. (2008). The relationship between student characteristics, including learning styles, and their perceptions and satisfactions in web-based courses in higher education. Turkish Journal of Distance Education, 9, 123-138.
- Sammons, M. (2007). Collaborative interaction. In M. G. Moore (Ed.), Handbook of Distance Education (2nd ed., pp. 311-321). New Jersey: Earlbaum.
- Scharf, D., Elliot, N., Heather, H., Briller, V., & Joshi, K. (2007). Direct assessment of information literacy using writing portfolios. The Journal of Academic Librarianship, 33, 462-478.
- Schmitt, N., Oswald, F. L., Kim, B. H., Gillespie, M. A., Ramsay, L. J., & Yoo, T. (2003). Impact of elaboration on socially desirable responding and the validity of biodata measures. Journal of Applied Psychology, 88, 979-988.
- Shavelson, R. J., & Huang, L. (2003, January/February). Responding responsibly to the frenzy to assess learning in higher education. Change, 11–19.
- Simonson, C. L. S. (1996). Teaching caring to nursing students. Journal of Nursing Education, 35, 100-104.
- Squires, A., Pennotti, M., & Varma, D. (2006, June). The effect of incorporating verbal stimuli in online education environment: an online case study. Paper presented at the meeting of the ASEE Annual Conference & Exposition: Excellence in Education, Chicago, IL.
- Sternberg, R., & Subotnik, R. F. (2006). Optimizing student success in school with the other three Rs: Reasoning, resilience, and responsibility. Greenwich: Information Age Publishing.
- Swann, K. (2002). Building learning communities in online courses: The importance of interaction. Education, Communication and Information, 2, 23-49.
- Terrell, S. R. (2002). The effect of learning style on doctoral course completion in a web-based learning environment. Internet and Higher Education, 5, 345-352.
- Wallace, R. M. (2003). Online learning in higher education: A review of research on interactions among teachers and students. Education, Communication, and Information, 3, 241-280.
- Watkins, R., & Corry, M. (2005). E-learning companion: A student's guide to online success. Boston: Houghton-Mifflin.
- Whitworth, B. (2006). Social-technical systems In C. Ghaoui (Ed.), Encyclopedia of Human Computer Interaction (pp. 533-541). London: Idea Group Reference.
- Whitworth, B., & And Friedman, R. (2008). The challenge of modern academic knowledge exchange. SIGITE Newsletter, 5(2), 4-10.
- Williams, P. E., & Hellman, C. M. (2004). Differences in self-regulation for online learning between first- and second-generation college students. Research in Higher Education, 45, 71-82.
- Zhang, L., & Sternberg, R. J. (2005). A threefold model of intellectual styles. Educational Psychology Review, 17, 1-53.
- Zhang, L., & Sternberg, R. J. (2006) The nature of intellectual styles. New Jersey: Erlbaum Zimmerman, M. C. (2002). Academic self-regulation explains persistence and attrition in web-based courses: A grounded theory. Unpublished doctoral dissertation, Northern Arizona University, Flagstaff.
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