Abstract
E-learning through online games, where users play collaboratively to gain knowledge, has great potential to significantly change the way we learn. As the number of participants is no longer limited by the classroom, the learning process could potentially involve tens of thousands of learners. However, hosting massive users playing in a shared game world is nontrivial, as the underlying servers may get overloaded by the constantly changing workload due to user activity. In this work, we adapt a multi-server approach with dynamic load balancing to enable large scale collaborative game-based learning. Through simulation, we thoroughly evaluate its performance and identify the optimal settings of the key load balancing parameters under different scenarios. Results imply that the multi-server approach can support tens of thousands of users learning together, through combining the power of multiple servers each of which only can handle hundreds of users.
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References
Second Life in educational purposes, http://anulik.edublogs.org/2010/11/06/second-life-in-educational-purposes
Using Minecraft to teach Math literacy, http://www.itslearning.eu/using-minecraft-to-teach-math-literacy123
Boillat, J.: Load balancing and poisson equation in a graph. Concurrency: Practice and Experience 2(4), 289–313 (1990)
Bollen, L., Hoppe, H., Milrad, M., Pinkwart, N.: Collaborative modelling in group learning environments. In: Proc. System Dynamics Conference (2002)
De Chiara, R., Di Matteo, A., Manno, I., Scarano, V.: CoFFEE: Cooperative Face2Face educational environment. In: Proc. CollaborateCom (2007)
Deng, Y., Lau, R.: On delay adjustment for dynamic load balancing in distributed virtual environments. IEEE TVCG 18(4), 529–537 (2012)
Deng, Y., Lau, R.: Dynamic load balancing in distributed virtual environments using heat diffusion. ACM TOMCCAP 10(2), 16:1–16:19 (2014)
Lau, R.: Hybrid load balancing for online games. In: Proc. ACM MM (2010)
Lee, K., Lee, D.: A scalable dynamic load distribution scheme for multi-server distributed virtual environment systems with highly-skewed user distribution. In: Proc. ACM VRST (2003)
Li, F., Lau, R.: Emerging technologies and applications on interactive entertainments. Journal of Multimedia 6(2), 107–114 (2011)
Li, Q., Lau, R., Shih, T., Li, F.: Technology supports for distributed and collaborative learning over the internet. ACM TOIT 8(2), 5:1–5:24 (2008)
Li, Q., Lau, R., Wah, B., Ashman, H., Leung, E., Li, F., Lee, V.: Guest editors’ introduction: Emerging internet technologies for e-learning. IEEE Internet Computing 13(4), 11–17 (2009)
Ludvigsen, S., Mørch, A.: Computer-supported collaborative learning: Basic concepts, multiple perspectives, and emerging trends. The International Encyclopedia of Education 5, 290–296 (2010)
Lui, J., Chan, M.: An efficient partitioning algorithm for distributed virtual environment systems. IEEE TPDS 13(3), 193–211 (2002)
Berg Marklund, B., Backlund, P., Johannesson, M.: Children’s collaboration in emergent game environments. In: Proc. FDG (2013)
Ng, B., Lau, R., Si, A., Li, F.: Multi-server support for large scale distributed virtual environments. IEEE TMM 7(6), 1054–1065 (2005)
Ng, B., Li, F., Lau, R., Si, A., Siu, A.: A performance study of multi-server systems for distributed virtual environments. Information Sciences 154(1) (2003)
Puntambekar, S., et al.: Intra-group and intergroup: An exploration of learning with complementary collaboration tools. In: Proc. CSCL (1997)
Sancho, P., Gómez-Martín, P., Fernández-Manjón, B.: Multiplayer role games applied to problem based learning. In: Proc. DIMEA (2008)
Scardamalia, M., Bereiter, C.: Computer support for knowledge-building communities. Journal of the Learning Sciences 3(3), 265–283 (1994)
Short, D.: Teaching scientific concepts using a virtual world - minecraft. Teaching Science: The Journal of the ASTA 58(3), 55–58 (2012)
To, D., Lau, R., Green, M.: A method for progressive and selective transmission of multi-resolution models. In: Proc. ACM VRST (1999)
To, D., Lau, R., Green, M.: An adaptive multi-resolution method for progressive model transmission. Presence 10(1), 62–74 (2001)
Toro-Troconis, M., et al.: Design and delivery of game-based learning for virtual patients in second life. In: Researching Learning in Virtual Worlds (2010)
Van Den Bossche, B., et al.: Autonomic microcell assignment in massively distributed online virtual environments. JNCA 32(6), 1242–1256 (2009)
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Deng, Y., Huang, Z. (2014). A Multi-server Approach for Large Scale Collaborative Game-Based Learning. In: Popescu, E., Lau, R.W.H., Pata, K., Leung, H., Laanpere, M. (eds) Advances in Web-Based Learning – ICWL 2014. ICWL 2014. Lecture Notes in Computer Science, vol 8613. Springer, Cham. https://doi.org/10.1007/978-3-319-09635-3_9
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DOI: https://doi.org/10.1007/978-3-319-09635-3_9
Publisher Name: Springer, Cham
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