程式語言的學習對大部的初學者來說都是困難的，學習者在面對除了結構化問題的挑戰和去了解程式語言如何執行外，初學者在對程式語言學習的第一個困難就是要去記憶看似隨意又容易混淆的語法和指令，往往不知從何下手，讓學習者感到焦慮，降低學習動機，變的害怕學習程式語言，改善初學者對程式語言學習的環境是很重要的。
因此，本研究建置了一個模擬真實情境的遊戲式學習環境，「Train B&P」火車模擬遊戲，以簡單視覺化的方式，讓學習者可以快速的連結現實中的觀念，結合在遊戲式的學習環境中去學習程式語言。
本研究對象為修習「物件導向程式設計」課程的資工系大一學生117位，並依照該課程期中考成績將學生分成高成就、中成就和低成就三個群組；探討各成就學生在模擬遊戲環境中的程式學習效果。探討的方向從不同成就學生的心流狀態、學習動機的變化和在使用本系統學習行為上的差異，最後再比較不同成就學生在使用本系統的學習成效上的不同。

Learning to program is difficult to most beginners; this is because learners have to face challenges of learning to form structured solutions to problems and understanding how programs are executed. When learning to program, beginners come across problems like learning rigid syntax and commands that may have seemingly arbitrary or perhaps confusing names. Beginners usually do not know how to begin can cause anxiety and fear towards learning, lowering the learning motivation; therefore, improving the beginners environment of learning to program is indeed important.
Hence, this study set up a virtual reality learning environment, called Train B&P. Train B&P is a train simulation game designed in simple visualized way, it allows learners to learn programming through the game-like learning environment.
The participants of the study are 117 freshmen from the Department of Information Engineering, attending the "Object-Oriented Programming" course. The purpose of the study is to find out the effects of program learning in a simulation game between students of different ability level. These Students are classified into three different groups –high, medium and low ability level. The study investigates the student’s flow status of different ability level, the changes in learning motivation and differences in learning behavior with the use of the learning system.

Baker, A. C., Jensen, P. J., & Kolb, D. A. (2002). Conversational learning: An experiential approach to knowledge creation. Greenwood Publishing Group.
Barab, S. A., Barnett, M., & Squire, K. (2002). Developing an empirical account of a community of practice: Characterizing the essential tensions. Journal of the Learning Sciences, 11(4), 489-542.
Begel, A. (1996). LogoBlocks: A graphical programming language for interacting with the world. Electrical Engineering and Computer Science Department, MIT, Boston, MA.
C. M. Finneran, & Zhang, P. (2003). A person-artefact-task (PAT) model of flow antecedents in computer-mediated environments. International Journal of Human-Computer Studies, 59(4), 475-496.
Chen, H., Wigand, R. T., & Nilan, M. S. (1999). Optimal experience of Web activities. Computers in Human Behavior, 15(5), 585-608.
Christian, C. A. (2003). Scientists'' role in educational content development. Journal of Science Education and Technology, 12(1), 31-37.
Cooper, S., Dann, W., & Pausch, R. (2000). Alice: a 3-D tool for introductory programming concepts. Journal of Computing Sciences in Colleges, 15(5), 107–116.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-Bass San Francisco.
Czikszentmihalyi, M. (1991). Flow: The psychology of optimal experience. Praha: Lidové Noviny.
Ezeife, C. I., & Lu, Y. (2005). Mining web log sequential patterns with position coded pre-order linked wap-tree. Data Mining and Knowledge Discovery, 10(1), 5–38.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 50-68.
Jensen, N. (2004). Supporting experiential learning in virtual laboratories. In Proceeding of Sixth International Conference German Online Research (pp. 72-74).
Kayes, D. C. (2002). Experiential learning and its critics: Preserving the role of experience in management learning and education. Academy of Management Learning & Education, 137-149.
Kelleher, C., & Pausch, R. (2005). Lowering the barriers to programming. ACM Computing Surveys, 37(2), 83–137.
Kelleher, C., & Pausch, R. (2005). Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers. ACM Comput. Surv., 37(2), 83-137. doi:10.1145/1089733.1089734
Kiili, K. (2005). Digital game-based learning: Towards an experiential gaming model. The Internet and higher education, 8(1), 13-24.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
Maloney, J. H., Peppler, K., Kafai, Y., Resnick, M., & Rusk, N. (2008). Programming by choice: urban youth learning programming with scratch. In Proceedings of the 39th SIGCSE technical symposium on Computer science education (pp. 367-371). ACM.
MARTIN, F., COLOBONG, G. L., & RESNICK, M. (1996). Tangible Programming with Trains. Retrieved from http://el.www.media.mit.edu/projects/trains
McCracken, M., Almstrum, V., Diaz, D., Guzdial, M., Hagan, D., Kolikant, Y. B., Laxer, C., et al. (2001). A multi-national, multi-institutional study of assessment of programming skills of first-year CS students. In Working group reports from ITiCSE on Innovation and technology in computer science education (pp. 125-180). Canterbury, UK: ACM. doi:10.1145/572133.572137
McMullan, W. E., & Cahoon, A. (1979). Integrating abstract conceptualizing with experiential learning. Academy of Management Review, 4(3), 453-458.
McNerney, T. S. (2004). From turtles to Tangible Programming Bricks: explorations in physical language design. Personal Ubiquitous Comput., 8(5), 326-337.
Miettinen, R. (2000). The concept of experiential learning and John Deweyʼs theory of reflective thought and action. International Journal of Lifelong Education, 19(1), 54-72.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological review, 63(2), 81-97.
Oxendine, C., Robinson, J., & Willson, G. (2004). Experiential learning. Emerging perspectives on learning, teaching, and technology.Retrieved October, 13, 2006.
Papert, S. (1980). Mindstorms. Basic Books New York.
Papert, S. (1993). Mindstorms: Children, computers, and powerful ideas. Basic books.
Pearce, J. M., & Howard, S. (2004). Designing for flow in a complex activity. In Computer Human Interaction (pp. 349-358). Springer.
Pintrich, P. R., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor.Michigan, 48109, 1259.
Provenzo Jr, E. F. (1992). The Video Generation. American School Board Journal, 179(3), 29-32.
Resnick, M., Rusk, N., & Cooke, S. (1998). The computer clubhouse: Technological fluency in the inner city. High technology and low-income communities, 266-286.
Trindade, J., Fiolhais, C., & Almeida, L. (2002). Science learning in virtual environments: a descriptive study. British Journal of Educational Technology, 33(4), 471-488.
Vince, R. (1998). Behind and beyond Kolb''s learning cycle. Journal of Management Education, 22(3), 304.
Vygotsky, L. S. (1964). Thought and language. Annals of Dyslexia, 14(1), 97-98.
Webster, J., Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411-426.
Whitelock, D., Romano, D., Jelfs, A., & Brna, P. (2000). Perfect presence: What does this mean for the design of virtual learning environments? Education and Information Technologies, 5(4), 277-289.
Xia Skadberg, Y., & Kimmel, J. R. (2004). Visitors'' Flow experience while browsing a web site: its measurement, contributing factors and consequences. Computers in Human Behavior, 20(3), 403-422.
Yamauchi, Y., Yokozawa, M., Shinohara, T., & Ishida, T. (2000). Collaboration with Lean Media: how open-source software succeeds. In Proceedings of the 2000 ACM conference on Computer supported cooperative work (pp. 329-338). Philadelphia, Pennsylvania, United States: ACM. doi:10.1145/358916.359004