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We designed an activity-based science curriculum that used Minecraft to support microbiology learning for students enrolled in the Lang Science Program at the American Museum of Natural History (AMNH) in New York City. Minecraft offered an option to consolidate complex science content into digestible activities for modeling concepts and demonstrate student mastery. We will (1) present a background of the course, design processes, and how we used Minecraft in the curriculum, (2) describe the design of the educational Minecraft activities, (3) articulate design issues, adjustments, and constraints, and (4) discuss future changes.
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Belland, B. R., French, B. F., & Ertmer, P. A. (2009). Validity and problem-based learning research: A review of instruments used to assess intended learning outcomes. Interdisciplinary Journal of Problem-based Learning, 3(1), 59-89. https://doi.org/10.7771/1541-5015.1059
Black, J. B. (2007). Imaginary worlds. In Gluck, M. A., Anderson, J. R., & Kosslyn, S. M. (Eds.) Memory and mind: A festschrift for Gordon H. Bower (pp. 195-208). Psychology Press.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (1999). How people learn: Brain, mind, experience, and school. National Academy Press.
Chase, C. C., Chin, D. B., Oppezzo, M. A., & Schwartz, D. L. (2009). Teachable agents and the protégé effect: Increasing the effort towards learning. Journal of Science Education and Technology, 18(4), 334-352. https://doi.org/10.1007/s10956-009-9180-4
Claypool, K., & Claypool, M. (2005). Teaching software engineering through game design. ACM SIGCSE Bulletin, 37(3), 123-127. https:// doi.org/10.1145/1067445.1067482
Garris, R., Ahlers, R., & Driskell, J. E. (2002). Games, motivation, and learning: A research and practice model. Simulation, & Gaming, 33(4), 441-467. https://doi.org/10.1177/1046878102238607
Gee, J. P. (2007). Good video games and good learning: Collected essays on video games, learning, and literacy. New York, NY: Peter Lang.
Jenkins, H., Purushotma, R., Weigel, M., Clinton, K., & Robison, A. J. (2009). Confronting the challenges of participatory culture: Media education for the 21st century. MIT Press.
Johnstone, A. H. (1991). Why is science difficult to learn? Things are seldom what they seem. Journal of Computer Assisted Learning, 7(2), 75-83. https://doi.org/10.1111/j.1365-2729.1991.tb00230.x
Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York, NY: Cambridge University Press. https://doi.org/10.1017/CBO9780511811678.
Michael, D. R., & Chen, S. L. (2006) Serious games: Games that educate, train, and inform. Boston, MA.: Thomson Course Technology.
New York State Education. New York State P-12 Science Learning Standards. 2017, http://www.p12.nysed.gov/ciai/mst/sci/documents/p-12-science-learning-standards.pdf
Schwartz, D. L., Blair, K. P., Biswas, G., Leelawong, K., & Davis, J. (2007). Animations of thought: Interactivity in the teachable agents paradigm. In R. Lowe & W. Schnotz (Eds). Learning with animation: Research and implications for design. UK: Cambridge University Press.
Squire, K. (2005). Changing the game: What happens when video games enter the classroom. Innovate: Journal of Online Education, 1(6).