Effects of Simulation on Student Satisfaction With a Capstone Course

REFERENCES

• AC Nielsen. (2000). Employer satisfaction with graduate skills: Research report. Canberra, Australia: Department of Education, Training and Youth Affairs.
   Google Scholar
• Agnello, V., Pikas, B., Agnello, A. J., & Pikas, A. (2011). Today’s learner, preferences in teaching techniques. American Journal of Business Education, 4(2), 1–9.
   Google Scholar
• Anderson, P. H., & Lawton, L. (2009). Business simulations and cognitive learning: Developments, desires, and future directions. Simulation & Gaming, 40, 193–216.
   Google Scholar
• Batista, I. V. C., & Cornachione, E. B. (2005). Learning styles influences on satisfaction and perceived learning: Analysis of an online business game. Developments in Business Simulation & Experiential Learning, 32, 22–30.
   Google Scholar
• Baudrillard, J. (2006). Simulacra and simulation. Ann Arbor, MI: University of Michigan Press.
   Google Scholar
• Bollen, K. A., & Long, J. S. (1993). Testing structural equation models. Thousand Oaks, CA: Sage.
   Google Scholar
• Boulos, M. N. K., Maramba, I., & Wheeler, S. (2006). Wikis, blogs and podcasts: A new generation of Web-based tools for virtual collaborative clinical practice and education. BMC Medical Education, 6(41). Retrieved from http://www.biomedcentral.com/1472-6920/6/41/
   Google Scholar
• Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming. New York, NY: Psychology Press.
   Google Scholar
• Chaparro-Peláez, J., Iglesias-Pradas, S., Pascual-Miguel, F. J., & Hernández-Garcia, Á. (2013). Factors affecting perceived learning of engineering students in problem based learning supported by business simulation. Interactive Learning Experiences, 21(3), 244–262.
   Web of Science ®Google Scholar
• Chen, M., & Downing, L. (2006). Using simulations to enhance students’ learning in management accounting. Journal of Hospitality & Tourism Education, 18(4), 27–32.
   Google Scholar
• Cronan, T. P., Léger, P.-M., Robert, J., Babin, G., & Charland, P. (2012). Comparing objective measures and perceptions of cognitive learning in an ERP simulation game: A game research note. Simulation & Gaming, 43, 461–480.
   Google Scholar
• Curland, S. R., & Fawcett, L. S. (2001). Using simulation and gaming to develop financial skills in undergraduates. International Journal of Contemporary Hospitality Management, 13(3), 116–119.
   Google Scholar
• Douglas, A., Miller, B., Kwansa, F., & Cummings, P. (2007). Students’ perceptions of the usefulness of a virtual simulation in post-secondary hospitality education. Journal of Teaching in Travel & Tourism, 7(3), 1–19.
   Google Scholar
• Edelheim, J., & Ueda, D. (2007). Effective use of simulations in hospitality management education—A case study. Journal of Hospitality, Leisure, Sport and Tourism Education, 6(1), 18–28.
   Web of Science ®Google Scholar
• Elliott, K. M., & Shin, D. (2002). Student satisfaction: An alternative approach to assessing this important concept. Journal of Higher Education Policy and Management, 24(2), 197–209.
   Google Scholar
• Fawcett, L. S. (2002). Group gaming and simulation in hospitality management: A user’s guide. Retrieved from http://www.heacademy.ac.uk/assets/hlst/documents/resource_guides/group_gaming_and_simulations.pdf
   Google Scholar
• Ferreira, R. R. (1997). Measuring student improvement in a hospitality computer simulation. Journal of Hospitality & Tourism Education, 9(3), 58–61.
   Google Scholar
• Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London, England: Sage.
   Google Scholar
• Garris, R., Ahlers, R., & Driskell, J. E. (2002). Games, motivation and learning: A research and practice model. Simulation & Gaming, 33, 441–467.
   Google Scholar
• Gosen, J., & Washbush, J. (2004). A review of scholarship on assessing experiential learning effectiveness. Simulation & Gaming, 35, 270–293.
   Google Scholar
• Hagemans, M. G., van der Meij, H., & de Jong, T. (2013). The effects of a concept map-based support tool on simulation-based inquiry learning. Journal of Educational Psychology, 105, 1–24.
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• Hermens, A., & Clarke, E. (2009). Integrating blended teaching and learning to enhance graduate attributes. Education + Training, 51, 476–490.
   Google Scholar
• Hsu, E. (1989). Role-event gaming simulation in management education: A conceptual framework and review. Simulation & Gaming, 20, 409–438.
   Web of Science ®Google Scholar
• Ineson, E. M., Rhoden, S., & Alexieva, I. (2011). Success in hotel management: Implications for M-level course design in Bulgaria. Journal of Hospitality, Leisure, Sport and Tourism Education, 10(2), 30–49.
   Web of Science ®Google Scholar
• Jonassen, D. H. (1997). Instructional design models for well-structured and ill-structured problem-solving learning outcomes Educational Technology Research and Development, 45(1), 65–94.
   Web of Science ®Google Scholar
• Jonassen, D. H., Peck, K. L., & Wilson, B. G. (1999). Learning with technology: A constructivist perspective. Columbus, OH: Prentice Hall.
   Google Scholar
• Kraiger, K., Ford, J. K., & Salas, E. (1993). Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology, 78, 311–328.
   Web of Science ®Google Scholar
• Leckey, J., & Neill, N. (2001). Quantifying quality: The importance of student feedback. Quality in Higher Education, 7(1), 19–32.
   Google Scholar
• Liaw, S.-S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & Education, 51, 864–873.
   Web of Science ®Google Scholar
• Lizzio, A., Wilson, K., & Simons, R. (2002). University students’ perceptions of the learning environment and academic outcomes: Implications for theory and practice. Studies in Higher Education, 27(1), 27–52.
   Web of Science ®Google Scholar
• Martin, D., & McEvoy, B. (2003). Business simulations: A balanced approach to tourism education. International Journal of Contemporary Hospitality Management, 15(6), 336–339.
   Google Scholar
• Merriam, S. B., Caffarella, R. S., & Baumgartner, L. M. (2007). Learning in adulthood: A comprehensive guide (3rd ed.). New York, NY: Wiley.
   Google Scholar
• Molenaar, I., van Boxtel, C. A. M., & Sleegers, P. J. C. (2011). Metacognitive scaffolding in an innovative learning arrangement. Instructional Science, 39, 785–803.
   Web of Science ®Google Scholar
• Reisinger, Y., & Mavondo, F. (2007). Structural equation modeling: Critical issues and new developments. Journal of Travel & Tourism Marketing, 21(4), 41–71.
   Google Scholar
• Smart, K. L., & Cappel, J. J. (2006). Students’ perceptions of online learning: A comparative study. Journal of Information Technology Education, 5, 201–219.
   Google Scholar
• Smimou, K., & Dahl, D. W. (2012). On the relationship between students’ perceptions of teaching quality, methods of assessment, and satisfaction. Journal of Education for Business, 87(1), 22–35.
   Google Scholar
• Smith, E. T., & Boyer, M. A. (1996). Designing in-class simulations. PS: Political Science and Politics, 29, 690–694.
   Web of Science ®Google Scholar
• Snider, B., & Balakrishnan, J. (2013). Lessons learned from implementing Web-based simulations to teach operations management concepts. Informs Transactions on Education, 13(3), 152–161.
   Google Scholar
• Teo, T., & Wong, S. L. (2013). Modeling key drivers of e-learning satisfaction among student teachers. Journal of Educational Computing Research, 48(1), 71–95.
   Google Scholar
• Vogel, J. J., Vogel, D. S., Cannon-Bowers, J., Bowers, C. A., Muse, K., & Wright, M. (2006). Computer gaming and interactive simulations for learning: A meta-analysis. Journal of Educational Computing Research, 34(3), 229–243.
   Google Scholar
• Wang, C.-H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323.
   Web of Science ®Google Scholar
• Woolfolk, A. (2010). Educational psychology (11th ed.). Upper Saddle River, NJ: Pearson Education.
   Google Scholar
• Yuen, A. H. K. (2006). Learning to program through interactive simulation. Educational Media International, 43(3), 251–268.
   Google Scholar