參考文獻 |
AbuShanab, E., Pearson, J. M., & Setterstrom, A. J. (2010). Internet banking and customers′ acceptance in Jordan: the unified model′s perspective. Communications of the Association for Information Systems, 26(1), 23.
Ajzen, I., & Fishbein, M. (1975). Understanding attitudes and predicting social. Behaviour. Englewood Cliffs, NJ: Prentice-Hall.
Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology. Journal of Business Research, 67(11), 2282-2290. doi: 10.1016/j.jbusres.2014.06.016
Aldás-Manzano, J., Ruiz-Mafe, C., & Sanz-Blas, S. (2009). Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management & Data Systems, 109(6), 739-757.
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.
Anderson, J. E., & Schwager, P. H. (2004). SME adoption of wireless LAN technology: applying the UTAUT model.
Antonieta, Â. (2014). Immersive Simulation of Architectural Spatial Experiences. Blucher Design Proceedings, 1(7), 495-499.
Bandura, A. (1986). Social foundations of thought and action: Englewood Cliffs, NJ Prentice Hall.
Bandura, A. (1991). Human agency: The rhetoric and the reality.
Barnett, T., Pearson, A. W., Pearson, R., & Kellermanns, F. W. (2014). Five-factor model personality traits as predictors of perceived and actual usage of technology. European Journal of Information Systems.
Bell, J. T., & Fogler, H. S. (1996). Vicher: a virtual reality based educational module for chemical reaction engineering. Computer Applications in Engineering Education, 4(4), 285-296.
Bollen, K. A., & Stine, R. A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods & Research, 21(2), 205-229.
Bostrom, R. P., Olfman, L., & Sein, M. K. (1990). The importance of learning style in end-user training. Mis Quarterly, 14(1), 101-119.
Bozionelos, N. (1997). Psychology of computer use: XLIV. Computer anxiety and learning style. Perceptual and motor skills, 84(3), 753-754.
Burdea, G. (1999). Haptic feedback for virtual reality, keynote address of Proceedings of International Workshop on Virtual prototyping. Laval: France.
Burdea, G., & Coiffet, P. (2003). Virtual reality technology. Presence: Teleoperators and virtual environments, 12(6), 663-664.
Byrne, C., & Furness, T. A. (1994). Virtual reality and education. Paper presented at the Exploring a new partnership: Children, Teachers and Technology.
Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J., & Walden, P. (2006). Adoption of mobile devices/services—searching for answers with the UTAUT. Paper presented at the System Sciences, 2006. HICSS′06. Proceedings of the 39th Annual Hawaii International Conference on.
Chakaveh, S., Zlender, U., Skaley, D., Fostiropoulos, K., & Breitschwerdt, D. (1999). DELTA′s Virtual Physics Laboratory: a comprehensive learning platform on physics and astronomy. Paper presented at the Visualization ′99.
Cheong, J. H., Park, M.-C., & Hwang, J. (2004). Mobile payment adoption in Korea: Switching from credit card. Paper presented at the ITS 15th Biennial Conference, Berlin, Germany, September.
Chittaro, L., & Ranon, R. (2007). Web3D technologies in learning, education and training: Motivations, issues, opportunities. Computers & Education, 49(1), 3-18.
Chiu, C. M., & Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194-201. doi: 10.1016/j.im.2008.02.003
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. Mis Quarterly, 19(2), 189-211.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quarterly, 13(3), 319-340.
Dede, C. (1995). The evolution of constructivist learning environments: Immersion in distributed, virtual worlds. Educational Technology, 35(5), 46-52.
Devaraj, S., Easley, R. F., & Crant, J. M. (2008). Research note-how does personality matter? Relating the five-factor model to technology acceptance and use. Information systems research, 19(1), 93-105.
Dimitropoulos, K., Manitsaris, A., & Mavridis, I. (2008). Building virtual reality environments for distance education on the web: a case study in medical education. International Journal of Social Sciences, 2(1), 62-70.
DiTiberio, J. (1996). Education, learning styles, and cognitive styles. MBTI applications: A decade of research on the Myers-Briggs Type Indicator, 123-166.
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. Mis Quarterly, 18(4), 453-461.
Du, X. (2014). Design and Evaluation of a Learning Assistant System with Optical Head-Mounted Display (OHMD). Carleton University Ottawa.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Freina, L., & Ott, M. (2015). A Literature Review on Immersive Virtual Reality in Education: State Of The Art and Perspectives. Proceedings of eLearning and Software for Education (eLSE)(Bucharest, Romania, April 23--24, 2015).
Georgiou, I., Zahn, C., & Meira, B. (2008). A systemic framework for case‐based classroom experiential learning. Systems Research and Behavioral Science, 25(6), 807-819.
Goodhue, D. L. (1995). Understanding user evaluations of information systems. Management science, 41(12), 1827-1844.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. Mis Quarterly, 19(2), 213-236.
Gregorc, A. F. (1979). LEARNING-TEACHING STYLES-POTENT FORCES BEHIND THEM: ASSOC SUPERVISION CURRICULUM DEVELOPMENT 1250 N PITT STREET, ALEXANDRIA, VA 22314-1453.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6): Pearson Prentice Hall Upper Saddle River, NJ.
Haller, M., Kurka, G., Volkert, J., & Wagner, R. (1999). omVR–A safety training system for a virtual refinery. Paper presented at the Topical Workshop on Virtual Reality and Advanced Human-Robot Systems.
Hanson, K., & Shelton, B. E. (2008). Design and Development of Virtual Reality: Analysis of Challenges Faced by Educators. Educational Technology & Society, 11(1), 118-131.
Hauptman, H., & Cohen, A. (2011). The synergetic effect of learning styles on the interaction between virtual environments and the enhancement of spatial thinking. Computers & Education, 57(3), 2106-2117.
Hodgson, E., Bachmann, E., Waller, D., Bair, A., & Oberlin, A. (2012). Virtual reality in the wild: A self-contained and wearable simulation system. Paper presented at the Virtual Reality Short Papers and Posters (VRW), 2012 IEEE.
Houle, C. O. (1981). Continuing learning in the professions: Wiley Online Library.
Hunsaker, J. S. (1981). The experiential learning model and the Learning Style Inventory: An assessment of current findings. Journal of Experiential Learning and Simulation, 2(3), 145-152.
John, N. W. (2007). The impact of Web3D technologies on medical education and training. Computers & Education, 49(1), 19-31.
Jonassen, D. H. (2000). Transforming Learning with Technology: Beyond Modernism and Post-Modernism or Whoever Controls the Technology Creates the Reality. Educational Technology, 40(2), 21-25.
Jordanov, W. L. (2001). An Examination of the Relationship between Learning Style and Technology Use.
Kayes, D. C. (2005). Internal validity and reliability of Kolb’s learning style inventory version 3 (1999). Journal of Business and Psychology, 20(2), 249-257.
Keefe, J. W. (1979). Learning style: An overview. Student learning styles: Diagnosing and prescribing programs, 1-17.
Kim, J.-Y. (2013). Effects of Personality Traits and Kolb Learning Styles on Learning Outcomes in a Blended Learning Environment. International Journal of Digital Content Technology & its Applications, 7(13).
Kolb, A. Y., & Kolb, D. A. (2005). Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of management learning & education, 4(2), 193-212.
Kolb, A. Y., & Kolb, D. A. (2009). The Learning Way Meta-cognitive Aspects of Experiential Learning. Simulation & Gaming, 40(3), 297-327.
Kolb, D. A. (1976). Learning Style Inventory Technical Manual (Boston, Mcber and Company). KolbThe Learning Style Inventory: technical manual1976.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development (Vol. 1): Prentice-Hall Englewood Cliffs, NJ.
Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and individual differences, 51(4), 472-477.
Korfiatis, K., Papatheodorou, E., Stamou, G., & Paraskevopoulous, S. (1999). An investigation of the effectiveness of computer simulation programs as tutorial tools for teaching population ecology at university. International Journal of Science Education, 21(12), 1269-1280.
Leonard-Barton, D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management science, 34(10), 1252-1265.
Li, J. P., & Kishore, R. (2006). How robust is the UTAUT instrument?: a multigroup invariance analysis in the context of acceptance and use of online community weblog systems. Paper presented at the Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: Forty four years of computer personnel research: achievements, challenges & the future.
Loeffler, C., & Anderson, T. (1994). The virtual reality casebook: John Wiley & Sons, Inc.
Luckey, P., Trexler, B. I., England, G., & McCauley, J. (2014). Virtual reality headset: Google Patents.
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210.
Manolis, C., Burns, D. J., Assudani, R., & Chinta, R. (2013). Assessing experiential learning styles: A methodological reconstruction and validation of the Kolb Learning Style Inventory. Learning and Individual Differences, 23, 44-52.
Marchewka, J. T., & Kostiwa, K. (2007). An application of the UTAUT model for understanding student perceptions using course management software. Communications of the IIMA, 7(2), 10.
Mills, S., & de Araújo, M. M. T. (1999). Learning through virtual reality: a preliminary investigation. Interacting with Computers, 11(4), 453-462.
Nunnally, J. (1978)
.
Psychometric methods. New York: McGraw.
Nunnally, J. C., Bernstein, I. H., & Berge, J. M. t. (1967). Psychometric theory (Vol. 226): McGraw-Hill New York.
O′Connor, D., & Yballe, L. (2007). Team Leadership Critical Steps To Great Projects. Journal of Management Education, 31(2), 292-312.
Pan, Z., Cheok, A. D., Yang, H., Zhu, J., & Shi, J. (2006). Virtual reality and mixed reality for virtual learning environments. Computers & Graphics, 30(1), 20-28.
Pantelidis, V. S. (1993). Virtual reality in the classroom. Educational Technology, 33(4), 23-27.
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles concepts and evidence. Psychological science in the public interest, 9(3), 105-119.
Pfeifer, S., & Borozan, D. (2011). Fitting Kolb′s learning style theory to entrepreneurship learning aims and contents. International Journal of Business Research, 11(2), 216-223.
Roberts, M. L., & Wortzel, L. H. (1979). New life-style determinants of women′s food shopping behavior. The Journal of Marketing, 28-39.
Sahasrabudhe, V., & Kanungo, S. (2014). Appropriate media choice for e-learning effectiveness: Role of learning domain and learning style. Computers & Education, 76, 237-249.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner′s guide to structural equation modeling: Psychology Press.
Shaw, R. S. (2012). A study of the relationships among learning styles, participation types, and performance in programming language learning supported by online forums. Computers & Education, 58(1), 111-120. doi: 10.1016/j.compedu.2011.08.013
Shih, Y.-C., & Yang, M.-T. (2008). A Collaborative Virtual Environment for Situated Language Learning Using VEC3D. Educational Technology & Society, 11(1), 56-68.
Sun, K.-t., Lin, Y.-c., & Yu, C.-j. (2008). A study on learning effect among different learning styles in a Web-based lab of science for elementary school students. Computers & Education, 50(4), 1411-1422.
Svendsen, G. B., Johnsen, J.-A. K., Almås-Sørensen, L., & Vittersø, J. (2013). Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model. Behaviour & Information Technology, 32(4), 323-334.
Taxén, G., & Naeve, A. (2002). A system for exploring open issues in VR-based education. Computers & Graphics, 26(4), 593-598.
Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. Mis Quarterly, 19(4), 561-570.
Teo, T., & Noyes, J. (2014). Explaining the intention to use technology among pre-service teachers: a multi-group analysis of the Unified Theory of Acceptance and Use of Technology. Interactive Learning Environments, 22(1), 51-66. doi: 10.1080/10494820.2011.641674
Terrell, S. R. (2002). The effect of learning style on doctoral course completion in a Web-based learning environment. The Internet and Higher Education, 5(4), 345-352.
Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. Mis Quarterly, 26(4), 381-396.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. 36(1).
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Mis Quarterly, 27(3), 425-478.
Virvou, M., & Katsionis, G. (2008). On the usability and likeability of virtual reality games for education: The case of VR-ENGAGE. Computers & Education, 50(1), 154-178.
Wang, K. H., Wang, T., Wang, W.-L., & Huang, S. (2006). Learning styles and formative assessment strategy: enhancing student achievement in Web‐based learning. Journal of Computer Assisted Learning, 22(3), 207-217.
Wolff, A. J. (2013). Quasi‐Experimental Evaluation Method for a Serious Game’s Learning Efficacy.
Wu, Y.-L., Tao, Y.-H., & Yang, P.-C. (2007). Using UTAUT to explore the behavior of 3G mobile communication users. Paper presented at the Industrial Engineering and Engineering Management, 2007 IEEE International Conference on.
王保進. (2006). 英文視窗版 SPSS 與行為科學研究 (三版).
吳明隆. (2007). SPSS 統計應用學習實務: 問卷分析與應用統計.
林心慧, & 張雲豪. (2009). 以 UTAUT 為基礎之消費者電子折價劵使用行為之預測模式: 直接與干擾效果: 中華管理評論國際學報.
梁朝雲, & 李恩東. (1998). 虛擬實境的發展與種類.
陳順宇. (2005). 多變量分析, 台北: 華泰.
|