Active Learning to Improve Self-Confidence and Decision-Making Skills Through the Use of Hotel Simulation

References

• Addison, S., Wright, A., & Milner, R. (2009). Using clickers to improve student engagement and performance in an introductory biochemistry class. Biochemistry and Molecular Biology Education, 37(2), 84–91. doi:10.1002/bmb.20264
   PubMed Web of Science ®Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi:10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Andrew, W. P., Lambert, C. U., & Lambert, J. M. (1986). Decision modeling using simulation: A hospitality perspective. International Journal of Hospitality Management, 5(2), 47–54. doi:10.1016/0278-4319(86)90032-0
   Google Scholar
• Arbuckle, J. (2014). IBM SPSS Amos 23 user’s guide. Armonk, NY: IBM.
   Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. doi:10.1007/BF02723327
   Google Scholar
• Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421–458.
   Web of Science ®Google Scholar
• Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148. doi:10.1207/s15326985ep2802_3
   Web of Science ®Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W. H. Freeman.
   Google Scholar
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi:10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Biggs, J. B., & Tang, C. S.-K. (2011). Teaching for quality learning at university: What the student does (4th ed.). Maidenhead, UK: Society for Research into Higher Education/Open University Press.
   Google Scholar
• Bligh, J., & Bleakley, A. (2006). Distributing menus to hungry learners: Can learning by simulation become simulation of learning? Medical Teacher, 28(7), 606–613. doi:10.1080/01421590601042335
   PubMed Web of Science ®Google Scholar
• Bloom, B. S., Englehart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). The taxonomy of educational objectives. Handbook I: The cognitive domain. New York: David McKay Co., Inc.
   Google Scholar
• Booth, P., Luckett, P., & Mladenovic, R. (1999). The quality of learning in accounting education: The impact of approaches to learning on academic performance. Accounting Education, 8(4), 277–300.
   Google Scholar
• Boud, D., & Feletti, G. (1997). The challenge of problem-based learning (2nd ed.). London, UK: Kogan Page.
   Google Scholar
• Boud, D. E. (1985). Problem-based learning in education for the professions: Conference: Papers. Sydney, Australia: Higher Education Research and Development Society of Australasia.
   Google Scholar
• Chase, R. (1983). The management game. The Cornell Hotel and Restaurant Administration Quarterly, 24(2), 15–22.
   Google Scholar
• Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Marketing Research, 16, 64–73.
   Google Scholar
• Clogg, C. C, Petkova, E, & Haritou, A. (1995). Statistical methods for comparing regression coefficients between models. American Journal of Sociology, 100(5), 1261–1293.
   Web of Science ®Google Scholar
• Cummings, C. L., & Connelly, L. K. (2016). Can nursing students’ confidence levels increase with repeated simulation activities? Nurse Education Today, 36, 419–421. doi:10.1016/j.nedt.2015.11.004
   PubMed Web of Science ®Google Scholar
• Davis, B. G. (2009). Tools for teaching (2nd ed.). San Francisco, CA: Jossey-Bass.
   Google Scholar
• Douglas, A., Miller, B., Kwansa, F., & Cummings, P. (2008). Students’ perceptions of the usefulness of a virtual simulation in post-secondary hospitality education. Journal of Teaching in Travel & Tourism, 7(3), 1–19. doi:10.1080/15313220801909270
   Google Scholar
• Dunning, D., Johnson, K., Ehrlinger, J., & Kruger, J. (2003). Why people fail to recognize their own incompetence. Current Directions in Psychological Science, 12(3), 83–87. doi:10.1111/1467-8721.01235
   Web of Science ®Google Scholar
• Edelheim, J. R., & 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
• Errington, E. (2011a). The edge of reality: Challenges facing educators using simulation to supplement students’ lived experience. In N. Jackson (Ed.), Learning to be professional through a higher education (pp. 1–14). Surrey, UK: Surrey Centre for Excellence in Professional Training and Education.
   Google Scholar
• Errington, E. P. (2011b). Mission possible: Using near-world scenarios to prepare graduates for the professions. International Journal Of Teaching and Learning in Higher Education, 23(1), 84–91.
   Google Scholar
• Fatmi, M., Hartling, L., Hillier, T., Campbell, S., & Oswald, A. E. (2013). The effectiveness of team-based learning on learning outcomes in health professions education: BEME Guide No. 30. Medical Teacher, 35(12), 1608–1624.
   PubMed Web of Science ®Google Scholar
• Fawcett, S. L. (1994). Using a computer-based management simulation exercise for the development of business specific and general transferable skills in hospitality management students. In W. Gijselaers (Ed.), Educational innovation in economics and business administration: The case of problem-based learning (pp. 152–160). Dordrecht, The Netherlands: Kluwer.
   Google Scholar
• Fawcett, S. L. (2002). Group gaming and simulation in hospitality management: A user’s guide. Retrieved from http://www.hlst.heacademy.ac.uk/resources/guides/gaming.pdf
   Google Scholar
• Fawcett, S. L., & Lockwood, A. (2000). Improving the learning environment for the development of hospitality accountancy skills using computer simulation gaming. Tourism and Hospitality Research, 2(3), 262–276. doi:10.1177/146735840000200306
   Google Scholar
• Feinstein, A. H., & Parks, S. J. (2002). The use of simulation in hospitality as an analytic tool and instructional system: A review of the literature. Journal of Hospitality & Tourism Research, 26(4), 396–421. doi:10.1177/109634802237486
   Google Scholar
• Ferreira, R. R. (1997). Measuring student improvement in a hospitality computer simulation. Journal of Hospitality & Tourism Education, 9(3), 58–61. doi:10.1080/10963758.1997.10685330
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi:10.2307/3151312
   Web of Science ®Google Scholar
• Fotiadis, A. K., & Sigala, M. (2015). Developing a framework for designing an events management training simulation (EMTS). Journal of Hospitality, Leisure, Sport & Tourism Education, 16, 59–71. doi:10.1016/j.jhlste.2015.03.001
   Web of Science ®Google Scholar
• Fripp, J. (1993). Learning through simulations: A guide to the design and use of simulations in business and education. London, UK: McGraw-Hill.
   Google Scholar
• Fry, H., Ketteridge, S., & Marshall, S. (2009). A handbook for teaching and learning in higher education: Enhancing academic practice (3rd ed.). New York, NY: Routledge.
   Google Scholar
• Geerts, W. (2016). Casting an eye on 2016: Expectations for the lodging industry in the coming year. Retrieved from http://blog.euromonitor.com/2016/01/casting-an-eye-on-2016-expectations-for-the-lodging-industry-in-the-coming-year.html
   Google Scholar
• Green, A. J., & Repetti, T. (2015). Clickers: A strategy for active learning in a hospitality classroom. Journal of Hospitality & Tourism Education, 27(4), 171–179. doi:10.1080/10963758.2015.1089513
   Web of Science ®Google Scholar
• Gryka, R., Kiersma, M. E., Frame, T. R., Cailor, S. M., & Chen, A. M. H. (2017). Comparison of student confidence and perceptions of biochemistry concepts using a team-based learning versus traditional lecture-based format. Currents in Pharmacy Teaching and Learning, 9(2), 302–310. doi:10.1016/j.cptl.2016.11.020
   PubMed Web of Science ®Google Scholar
• Hair, J. F., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis (5th ed.). Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
   Google Scholar
• Hermens, A., & Clarke, E. (2009). Integrating blended teaching and learning to enhance graduate attributes. Education + Training, 51(5/6), 476–490. doi:10.1108/00400910910987264
   Google Scholar
• Hsu, E. (1989). Role-event gaming simulation in management education: A conceptual framework and review. Simulation & Gaming, 20(4), 409–438.
   Web of Science ®Google Scholar
• Hu, S., & Kuh, G. D. (2002). Being (dis)engaged in educationally purposeful activities: The influences of student and institutional characteristics. Research in Higher Education, 43(5), 555–575. doi:10.1023/A:1020114231387
   Web of Science ®Google Scholar
• Jennings, D. (2002). Strategic management: An evaluation of the use of three learning methods. Journal of Management Development, 21(9), 655–665. doi:10.1108/02621710210441658
   Google Scholar
• Kasavana, M. L. (1996). Computer myths in hospitality education. Hospitality & Tourism Educator, 8(1), 41–43. doi:10.1080/23298758.1996.10685710
   Google Scholar
• Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Lambert, C. U., & Lambert, J. M. (1988). Setting reservation policies: A microcomputer-based simulation. Journal of Hospitality & Tourism Research, 12(2), 403–409.
   Google Scholar
• Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Lin, Q. (2008). Student satisfactions in four mixed courses in elementary teacher education program. The Internet and Higher Education, 11(1), 53–59. doi:10.1016/j.iheduc.2007.12.005
   Web of Science ®Google Scholar
• Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Reading & Writing Quarterly, 19(2), 119–137. doi:10.1080/10573560308223
   Google Scholar
• Ma, Z., Chen, M.-H., & Ampountolas, A. (2016). The effect of students’ perceptions and learning Approaches on the quality of hospitality financial management education. Journal of Hospitality & Tourism Education, 28(4), 169–177. doi:10.1080/10963758.2016.1226848
   Web of Science ®Google Scholar
• Malhotra, K. M., & Grover, V. (1998). An assessment of survey research in POM: From constructs to theory. Journal of Operations Management, 16(4), 407–425.
   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. doi:10.1108/09596110310488195
   Google Scholar
• Moore, D. S. (2007). The basic practice of statistics (4th ed.). New York, NY: W. H. Freeman.
   Google Scholar
• Moust, J. H. C., Bouhuijs, P. A. J., & Schmidt, H. G. (2001). Problem-based learning: A student guide. Groningen, The Netherlands: Wolters-Noordhoff.
   Google Scholar
• National League for Nursing. (2004). Descriptions of available instruments. Retrieved from http://www.nln.org/professional-development-programs/research/tools-and-instruments/descriptions-of-available-instruments
   Google Scholar
• Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
   Google Scholar
• O’Leary-Kelly, W. S. V., & Robert, J. (1998). The empirical assessment of construct validity. Journal of Operations Management, 16(4), 387–405.
   Google Scholar
• Parmelee, D., Michaelsen, L. K., Cook, S., & Hudes, P. D. (2012). Team-based learning: A practical guide: AMEE Guide No. 65. Medical Teacher, 34(5), e275–e287.
   PubMed Web of Science ®Google Scholar
• Paternoster, R., Brame, R., Mazerolle, P., & Piquero, A. (1998). Using the correct statistical test for the equality of regression coefficients. Criminology, 36(4), 859–866. doi:10.1111/j.1745-9125.1998.tb01268.x
   Web of Science ®Google Scholar
• Ramsden, P. (1992). Learning to teach in higher education. New York, NY: Routledge.
   Google Scholar
• Ramsden, P. (2003). Learning to teach in higher education (2nd ed.). London, UK: Routledge Falmer.
   Google Scholar
• Roca, J. C., Chiu, C.-M., & Martinez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal Human-Computer Studies, 64(8), 683–696. doi:10.1016/j.ijhcs.2006.01.003
   Web of Science ®Google Scholar
• Russell, K., & Russell, D. (1997). Computer simulations and the teaching of strategic hospitality management: An empirical study. Retrieved from http://www.mcb.co.uk/services/conferen/liblink/ijchm/HOTS.HTMwebsite
   Google Scholar
• Ryan, C. (1995). Researching tourist satisfaction: Issues, concepts, problems. London, UK: Routledge.
   Google Scholar
• Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students (5th ed.). Harlow, UK: Financial Times Prentice Hall.
   Google Scholar
• Sheel, A. (1995). Monte Carlo simulations and scenario analysis—Decision-making tools for hoteliers. The Cornell Hotel and Restaurant Administration Quarterly, 36(5), 18–26. doi:10.1016/0010-8804(95)92246-J
   Google Scholar
• Smith, T. (2010). Improving student confidence for clinical placement with a preclinical simulated session. Retrieved from http://w3.unisa.edu.au/academicdevelopment/what/documents/2010/Smith.pdf
   Google Scholar
• Snider, B., & Balakrishnan, J. (2013). Lessons learned from implementing Web-based simulations to teach operations management concepts. INFORMS Transactions Education, 13(3), 152–161. doi:10.1287/ited.2013.0108
   Google Scholar
• Stanley, D., & Trinkle, D. (2011). The changing landscape of higher education. EDUCAUSE Review, 46(1), 16–32.
   Google Scholar
• Thompson, G. M., & Verma, R. (2003). Computer simulation in hospitality teaching, practice, and research. The Cornell Hotel and Restaurant Administration Quarterly, 44(2), 85–93. doi:10.1016/S0010-8804(03)90021-8
   Google Scholar
• Volkwein, J. F., & Carbone, D. A. (1994). The impact of departmental research and teaching climates on undergraduate growth and satisfaction. Journal of Higher Education, 65(2), 149–167.
   Web of Science ®Google Scholar
• Vygotsky, L. S. (1978). Interaction between learning and development. In M. Cole, J. John-Steiner, S. Scribner, & E. Souberman (Eds.), Mind in society: The development of higher psychological processes (pp. 79–91). Cambridge, MA: Harvard University Press.
   Google Scholar
• Wolfe, J., & Crookall, D. (1998). Developing a scientific knowledge of simulation/gaming. Simulation & Gaming, 29(1), 7–19. doi:10.1177/1046878198291002
   Google Scholar