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Articles

Exploring the Effects of Learning Environment on Transfer, Student Perceptions, and Instructor Accommodations in an Undergraduate Course Sequence

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References

  • Allen, I. E., & Seaman, J. (2014). Grade change: Tracking online education in the United States, 2013. Needham, MA: Online Learning Consortium.
  • Arbaugh, J. B. (2002). Managing the online classroom: A study of technological and behavioral characteristics of web-based MBA courses. The Journal of High Technology Management Research, 13, 203–223. doi:10.1016/S1047-8310(02)00049-4
  • Arbaugh, J. B. (2004). Learning to learn online: A study of perceptual changes between multiple online course experiences. The Internet and Higher Education, 7, 169–182. doi:10.1016/j.iheduc.2004.06.001
  • Arbaugh, J. B. (2014). System, scholar or students? Which most influences online MBA course effectiveness? Journal of Computer Assisted Learning, 30(4), 349–362. doi:10.1111/jcal.2014.30.issue-4
  • Arbaugh, J. B. (2018). One bridge, (at Least) two paths: Reflections on “Virtual classroom characteristics and student satisfaction in internet-based mba courses”. Journal of Management Education, 42(4), 533–556. doi:10.1177/1052562918770400
  • Arbaugh, J. B., & Benbunan-Finch, R. (2006). An investigation of epistemological and social dimensions of teaching in online learning environments. Academy of Management Learning & Education, 5(4), 435–447. doi:10.5465/amle.2006.23473204
  • Arbaugh, J. B., Dearmond, S., & Rau, B. L. (2013). New uses for existing tools? A call to study on-line management instruction and instructors. Academy of Management Learning & Education, 12(4), 635–655. doi:10.5465/amle.2011.0018a
  • Arbaugh, J. B., Godfrey, M. R., Johnson, M., Pollack, B., Niendorf, B., & Wresch, W. (2009). Research in online and blended learning in the business disciplines: Key findings and possible future directions. The Internet and Higher Education, 12, 71–87. doi:10.1016/j.iheduc.2009.06.006
  • Arbaugh, J. B., & Rau, B. L. (2007). A study of disciplinary, structural, and behavioral effects on course outcomes in online MBA courses. Decision Sciences Journal of Innovative Education, 5(1), 65–95. doi:10.1111/dsji.2007.5.issue-1
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. doi:10.1037/0033-295X.84.2.191
  • Blume, B. D., Ford, J. K., Baldwin, T. T., & Huang, J. L. (2010). Transfer of training: A meta-analytic review. Journal of Management, 36(4), 1065–1105. doi:10.1177/0149206309352880
  • Bransford, J. D., & Schwartz, D. L. (1999). Chapter 3: Rethinking transfer: A simple proposal with multiple implications. Review of Research in Education, 24(1), 61–100.
  • Cho, M. H., & Tobias, S. (2016). Should instructors require discussion in online courses? Effects of online discussion on community of inquiry, learner time, satisfaction, and achievement. The International Review of Research in Open and Distributed Learning, 17(2), 123–140. doi:10.19173/irrodl.v17i2.2342
  • Christensen, C. (2016). The innovative university. San Francisco, CA: Wiley.
  • Clark, R. E., & Voogel, A. (1985). Transfer of training principles for instructional design. ECTJ, 33(2), 113–123.
  • Colquitt, J. A., LePine, J. A., & Noe, R. A. (2000). Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology, 85(5), 678.
  • Daymont, T., & Blau, G. (2008). Student performance in online and traditional sections of an undergraduate management course. Institute of Behavioral and Applied Management, 9(3), 275–294.
  • Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215–235. doi:10.1111/dsji.2006.4.issue-2
  • Gagné, R. M., Wager, W. W., Golas, K., & Keller, J. M. (2005). Principles of instructional design (5th ed.). Boston, MA: Cengage Learning.
  • Gist, M. E., Stevens, C. K., & Bavetta, A. G. (1991). Effects of self-efficacy and post-training intervention on the acquisition and maintenance of complex interpersonal skills. Personnel Psychology, 44(4), 837–861. doi:10.1111/j.1744-6570.1991.tb00701.x
  • Goldstone, R. L., & Day, S. B. (2012). Introduction to “new conceptualizations of transfer of learning”. Educational Psychologist, 47(3), 149–152. doi:10.1080/00461520.2012.695710
  • Grossman, A. M., & Johnson, L. R. (2015). Faculty perceptions of online accounting coursework. American Journal of Business Education, 8(2), 95–106.
  • Jaggars, S., & Xu, D. (2013). Predicting online student outcomes from a measure of course quality ( CCRC Working Paper No.57). New York, NY: Community College Research Center, Teachers College, Columbia University. Retrieved from https://ccrc.tc.columbia.edu/publications/predicting-online-student-outcomes-and-course-quality.html
  • James, S., Swan, K., & Daston, C. (2016). Retention, progression and the taking of online courses. Online Learning, 20(2), 75–96.
  • Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30–40. doi:10.1080/08923647.2015.994366
  • Kirk, R. E. (2008). Statistics: An introduction (5th ed.). Belmont, CA: Thomson Wadsworth.
  • Kirkpatrick, D. L., & Kirkpatrick, J. D. (2006). Evaluating training programs: The four levels. San Francisco, CA: Berrett-Koehler.
  • Kuo, Y. C., Walker, A. E., Belland, B. R., Schroder, K. E., & Kuo, Y. T. (2014). A case study of integrating interwise: Interaction, internet self-efficacy, and satisfaction in synchronous online learning environments. The International Review of Research in Open and Distributed Learning, 15(1), 161–181. doi:10.19173/irrodl.v15i1.1664
  • Kuo, Y. C., Walker, A. E., Schroder, K. E., & Belland, B. R. (2014). Interaction, internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50. doi:10.1016/j.iheduc.2013.10.001
  • Liu, X., Liu, S., Lee, S., & Magjuka, R. J. (2010). Cultural differences in online learning: International student perceptions. Educational Technology & Society, 13(3), 177–188.
  • Morrison, G. R., Ross, S. M., Kemp, J. E., & Kalman, H. (2010). Designing effective instruction (6th ed.). Hoboken, NJ: John Wiley & Sons.
  • Mujtaba, B. G. (2007). Understanding the needs and wants of virtual students: Online MBA program at the H. Wayne Huizenga School of Business and Entrepreneurship of Nova Southeastern University. TechTrends, 51(6), 46–51. doi:10.1007/s11528-007-0094-9
  • Nemanich, L., Banks, M., & Vera, D. (2009). Enhancing knowledge transfer in classroom versus online settings: The interplay among instructor, student, content, and context. Decision Sciences Journal of Innovative Education, 7(1), 123–148. doi:10.1111/dsji.2009.7.issue-1
  • Neuhauser, C. (2002). Learning style and effectiveness of online and face-to-face instruction. American Journal of Distance Education, 16(2), 99–113. doi:10.1207/S15389286AJDE1602_4
  • Perkins, D. N., & Salomon, G. (2012). Knowledge to go: A motivational and dispositional view of transfer. Educational Psychologist, 47(3), 248–258. doi:10.1080/00461520.2012.693354
  • Phipps, R., & Merisotis, J. (1999). What’s the difference? A review of contemporary research on the effectiveness of distance learning in higher education. Washington, DC: The Institute for Higher Education Policy.
  • Pugh, K. J., & Bergin, D. A. (2006). Motivational influences on transfer. Educational Psychologist, 41(3), 147–160. doi:10.1207/s15326985ep4103_2
  • Redpath, L. (2012). Confronting the bias against on-line learning in management education. Academy of Management Learning & Education, 11(1), 125–140. doi:10.5465/amle.2010.0044
  • Rydzewski, D. N., Eastman, J. K., & Bocchi, J. (2010). Important characteristics in an MBA program: The perceptions of online MBA students. American Journal of Business Education, 3(4), 33–41.
  • Seaman, J. E., Allen, I. E., & Seaman, J. (2018). Grade increase: Tracking distance education in the United States, 2018. Needham, MA: Online Learning Consortium.
  • Shea, P., & Bidjerano, T. (2016). A national study of differences between online and classroom only Community College students in time to first associate degree attainment, transfer, and dropout. Online Learning, 20(3), 14–15. doi:10.24059/olj.v20i3.984
  • Shelley, D., Swartz, L., & Cole, M. (2008). Online vs. in-class teaching: Comparing and analyzing effectiveness. Society for Information Technology & Teacher Education International Conference 1, Las Vegas, NV (pp. 724–731).
  • Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10–17. doi:10.1016/j.iheduc.2013.04.001
  • Sunar, A. S., White, S., Abdullah, N. A., & Davis, H. C. (2017). How learners’ interactions sustain engagement: A MOOC case study. IEEE Transactions on Learning Technologies, 10(4), 475–487. doi:10.1109/TLT.2016.2633268
  • Tyler-Smith, K. (2006). Early attrition among first time eLearners: A review of factors that contribute to drop-out, withdrawal and non-completion rates of adult learners undertaking eLearning programmes. Journal of Online Learning and Teaching, 2(2), 73–85.
  • Van Ness, B. F., Van Ness, R. A., & Adkins, R. L. (2000). Student performance in principles of finance: Differences between traditional and internet settings. Financial Practice and Education, 10, 160–166.
  • Wegner, S. B., Holloway, K. C., & Garton, E. M. (1999). The effects of Internet-based instruction on student learning. Journal of Asynchronous Learning Networks, 3(2), 98–106.
  • Wisneski, J. E., Ozogul, G., & Bichelmeyer, B. A. (2017). Investigating the impact of learning environments on undergraduate students’ academic performance in a prerequisite and post-requisite course sequence. The Internet and Higher Education, 32, 1–10. doi:10.1016/j.iheduc.2016.08.003
  • Wojciechowski, A., & Palmer, L. B. (2005). Individual student characteristics: Can any be predictors of success in online classes? Online Journal of Distance Learning Administration, 8(2), 1–20.
  • Xu, D., & Jaggars, S. S. (2014). Performance gaps between online and face-to-face courses: Differences across types of students and academic subject areas. The Journal of Higher Education, 85(5), 633–659.

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