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http://dx.doi.org/10.1633/JISTaP.2016.4.3.1

Virtual World-Based Information Security Learning: Design and Evaluation  

Ryoo, Jungwoo (Division of Business, Engineering and Information Sciences and Technology Penn State University, USA)
Lee, Dongwon (College of Information Science and Technology Penn State University, USA)
Techatassanasoontorn, Angsana A. (Department of Business Information Systems Faculty of Business and Law, Auckland University Newzealand)
Publication Information
Journal of Information Science Theory and Practice / v.4, no.3, 2016 , pp. 6-27 More about this Journal
Abstract
There has been a growing interest and enthusiasm for the application of virtual worlds in learning and training. This research proposes a design framework of a virtual world-based learning environment that integrates two unique features of the virtual world technology, immersion and interactivity, with an instructional strategy that promotes self-regulatory learning. We demonstrate the usefulness and assess the effectiveness of our design in the context of information security learning. In particular, the information security learning module implemented in Second Life was incorporated into an Introduction to Information Security course. Data from pre- and post- learning surveys were used to evaluate the effectiveness of the learning module. Overall, the results strongly suggest that the virtual world-based learning environment enhances information security learning, thus supporting the effectiveness of the proposed design framework. Additional results suggest that learner traits have an important influence on learning outcomes through perceived enjoyment. The study offers useful design and implementation guidelines for organizations and universities to develop a virtual world-based learning environment. It also represents an initial step towards the design and explanation theories of virtual world-based learning environments.
Keywords
Virtual World; Second Life; Information Security Learning; Design Evaluation; Self-regulatory Learning;
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  • Reference
1 Alavi, M. (1994). Computer-mediated collaborative learning: An empirical evaluation. MIS Quarterly 18(2), 159-174.   DOI
2 Alavi, M., & Leidner, D. E. (2001). Research commentary: Technology-medicated learning - A call for greater depth and breadth of research. Information Systems Research 12(1), 1-10.   DOI
3 Alavi, M., Marakas, G. M., & Yoo, Y. (2002). A comparative study of distributed learning environments on learning outcomes. Information Systems Research 13(4), 404-415.   DOI
4 Bandura, A. (1986). Self-efficacy, social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
5 Brett, J. F., & VandeWalle, D. (1999). Goal orientation and goal content as predictors of performance in a training program. Journal of Applied Psychology 84(6), 863-873.   DOI
6 Castranova, E. (2007). Exodus to the virtual world: How online fun is changing reality. New York, NY: Palgrave Macmillan.
7 Chai, S. et al. (2006). Role of perceived importance of information security: An exploratory study of middle school children's information security behavior. Proceedings of Informing Science + Information Technology Education Conference (pp. 127-135). Greater Manchester: England.
8 Clark, R. E. (1994). Media will never influence learning. Educational Technology Research and Development 42(2), 21-29.   DOI
9 Deci, E. L., et al. (1994). Facilitating internalization: The self-determination theory perspective. Journal of Personality 62(1), 119-142.   DOI
10 Fisher, S. L., & Ford, J. K. (1998). Differential effects of learner effort and goal orientation on two learning outcomes. Personnel Psychology 51(2), 397-420.
11 Gagne, R. M., & Briggs, L. J. (1979). Principles of instructional design. 2nd ed. New York: Holt, Rinehart, and Winston.
12 Gall, J. E., & Hannafin, M. J. (1994). A framework for the study of hypertext. Instructional Science 22, 207-232.   DOI
13 Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the AIS 16, 91-109.
14 Gregor, S. (2006). The nature of theory in information systems. MIS Quarterly 30(3), 611-642.   DOI
15 Hashaim, S., Rathnam, S., & Whinston A. (1992). CATT: An Argumentation-based groupware system for enhancing case discussions in business school. Proceedings of 12th Annual International Conference of Information Systems, 371-385.
16 Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional-design theories and models, Vol. 2. Mahwah, NJ: Lawrence Erlbaum Associates.
17 Hiltz, S. R., & Turo, M. (1993). The network nation: Human communication via computer. Cambridge, MA: MIT Press.
18 Hoffman, T. P., & Novak, D. L. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing 60, 50-68.   DOI
19 Ives, B., & Junglas, I. (2008). APC Forum: Business implications of virtual worlds and serious gaming. MIS Quarterly Executive 7(3), 151-156.
20 Kumar, S. et al. (2008). Second Life and the new generation of virtual worlds. IEEE Computer 41(9), 46-53.
21 Leidner, D. E., & Jarvenpaa, S. L. (1995). The use of information technology to enhance management school education: A theoretical view. MIS Quarterly 19(3), 265-291.   DOI
22 Li, H., Daugherty, T., & Biocca, F. (2001). Characteristics of virtual experience in electronic commerce: A protocol analysis. Journal of Interactive Marketing 15(3), 13-30.   DOI
23 Lim, K. H., Ward, L. M., & Benbasat, I. (1997). An empirical study of computer system learning: Comparison of co-discovery and self-discovery methods. Information Systems Research 8(3), 254-272.   DOI
24 Lou, Y., Abrami, P. C., & D'Apollonia, S. (2001). Small group and individual learning with technology: A meta-analysis. Review of Educational Research 71(3), 449-521.   DOI
25 McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods 1(1), 30-46.   DOI
26 Pintrinch, P., & Degroot, E. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology 82(1), 33-40.   DOI
27 Mennecke, B. E., et al. (2008). Second Life and other virtual worlds: A roadmap for research. Communications of the Association for Information Systems 22, 371-388.
28 Merrill, M. D. (1994). Instructional design theory. Englewood Cliffs, NJ: Educational Technology Publications.
29 Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly 25(4), 401-426.   DOI
30 Pollitt, D. (2008). Learn-while-you-play program gets IBM recruits up to speed. Training & Management Development Methods 22(1), 401-403.
31 Santhanam, R., Sasidharan, S., & Webster, J. (2008). Using self-regulatory learning to enhance e-learning-based information technology training. Information Systems Research 19(1), 26-47.   DOI
32 Schultze, U., et al. (2008). Using synthetic worlds for work and learning. Communications of the Association for Information Systems 22, 351-370.
33 Schunk, D. H. (1991). Goal setting and self-evaluation: A social cognitive perspective on self-regulation. In M.L. Machr & P.R. Pintrich (Eds.), Advances in motivation and achievement (pp. 85-113). Greenwich, CT: JAI Press.
34 Schunk, D. H., & Ertmer, P. A. (1999). Self-regulatory processes during computer skill acquisition: Goal and self-evaluative influences. Journal of Educational Psychology 91(2), 251-260.   DOI
35 Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin 86(2), 420-428.   DOI
36 Turo, M., & Hiltz, S. R. (1995). Software design and the future of the virtual classroom. Journal of Information Technology for Teacher Education 4(2), 197-215.   DOI
37 Slater, M. (1999). Measuring presence: A response to the Witmer and Singer Presence questionnaire. Presence: Teleoperators and Virtual Environments 8(5), 1-13.   DOI
38 Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication 42(4), 73-93.   DOI
39 Suh, K., & Lee, Y. E. (2005). The effects of virtual reality on consumer learning: An empirical investigation. MIS Quarterly 29(4), 673-697.   DOI
40 Wagner, C. (2008). Learning experience with virtual worlds. Journal of Information Systems Education 19(3), 263-266.
41 Walsh, K. R., & Pawlowski, S. D. (2002). Virtual reality: A technology in need of IS research. Communications of the Association for Information Systems 8, 297-313.
42 Webster, J., & Hackley, P. (1997). Teaching effectiveness in technology mediated distance learning. Academy of Management Journal 40(6), 1282-1309.   DOI
43 Witmer, B. G., & Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire. Presence 7(3), 225-240.   DOI
44 Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology 81(3), 329-339.   DOI
45 Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. Ed. by Boekarts M., Pintrich P., and Zeidner M. San Diego, CA: Academic Press, 2000.
46 Zweig, D., & Webster, J. (2004). Validation of a multidimensional measure of goal orientation. Canadian Journal of Behavioral Science 36(3), 232-243.   DOI
47 Zimmerman, B. J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In D. H. Schunk & B. J. Zimmerman, Self-regulated learning: From teaching to self-reflective practice (pp. 1-19). New York, NY: Guilford Press.
48 Zimmerman, B. J. (1995). Self-regulation involves more than metacognition: A social cognitive perspective. Educational Psychologist 30(4), 217-221.   DOI
49 Zimmerman, B. J., Bandura, A., & Martinez-Pons, M. (1992). Self-motivation for academic attainment: The role of self-efficacy beliefs and personal goal setting. American Educational Research Journal 29(3), 663-676.   DOI