Abstract
We have created a generalized algorithm for automatically constructing domain level knowledge bases from student input. This method has demonstrated greater efficiencies than when knowledge is hand crafted by subject matter experts (SMEs). This paper presents two related methods for improving automated knowledge acquisition by leveraging the properties of games and simulations. First, we discuss game mechanics that, when added to our intelligent tutor Rashi, lead to higher quantity and quality of student input. In a separate but related analysis, we present a novel game type called a knowledge refinement game (KRG) to improve the knowledge in an expert knowledge base. This game motivates SMEs to refine the generated knowledge base, especially for data in which the system has low confidence. Utilizing an anonymous agreement policy ensures the quality of SME responses and results show that small amounts of KRG activity leads to noticeable improvements in the quality of the knowledge base. We assert that these two results in unison provide evidence that gaming has a powerful potential role in improving artificial intelligence techniques for education.
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References
Bader-Natal, A.: Incorporating Game Mechanics into a Network of Online Study Groups. In: Proceedings of the Workshop on Intelligent Educational Games 2009, Brighton, England (2009)
Dragon, T.: The Impact of Integrated Coaching and Collaboration within an Inquiry Learning Environment. Doctoral Dissertation. University of Massachusetts, Amherst (2013)
Dragon, T., Floryan, M., Woolf, B., Murray, T.: Recognizing Dialogue Content in Student Collaborative Conversation. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010, Part II. LNCS, vol. 6095, pp. 113–122. Springer, Heidelberg (2010)
Dragon, T., Park Woolf, B., Marshall, D., Murray, T.: Coaching within a domain independent inquiry environment. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 144–153. Springer, Heidelberg (2006)
Floryan, M., Woolf, B.P.: Rashi Game: Towards an Effective Educational 3D Gaming Experience. In: Proceedings of the IEEE International Conference on Advanced Learning Technologies, Athens, GA (2011)
Floryan, M., Woolf, B.P.: Authoring Expert Knowledge Bases for Intelligent Tutors through Crowdsourcing. In: Chad Lane, H., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 640–643. Springer, Heidelberg (2013)
Hallinen, N., Walker, E., Wylie, R., Ogan, A., Jones, C.: I Was Playing When I Learned: A Narrative Game for French Aspectual Distinctions. In: Proceedings of the Workshop on Intelligent Educational Games 2009, Brighton, England (2009)
Lynch, C., Ashley, K.D., Pinkwart, N., Aleven, V.: Concepts, Structures, and Goals: Redefining Ill-Definedness. International Journal of AI in Education; Special Issue on Ill-Defined Domains 19(3), 253–266 (2009); Aleven, V., Lynch, C. Pinkwart, N., Ashley, K. (eds.)
McAlinden, R., Gordon, A.S., Lane, H.C., Pynadath, D.: UrbanSim: A Game-based Simulation for Counterinsurgency and Stability-focused Operations. In: Proceedings of the Workshop on Intelligent Educational Games 2009, Brighton, England (2009)
Prensky, M.: Digital Game-Based Learning. McGraw-Hill (2001)
Rowe, J.P., Mott, B.W., McQuiggan, S.W., et al.: Crystal Island: A Narrative-Centered Learning Environment for Eighth Grade Microbiology. In: Proceedings of the Workshop on Intelligent Educational Games 2009, Brighton, England (2009)
Siorpaes, K., Hepp, M.: Games with a purpose for the semantic web. IEEE Intelligent Systems 23(3), 50–60 (2008)
Von Ahn, L., Dabbish, L.: Labeling Images with a Computer Game. In: Proc. ACM CHI (2004)
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Floryan, M., Woolf, B.P. (2013). Improving the Efficiency of Automatic Knowledge Generation through Games and Simulations. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_36
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DOI: https://doi.org/10.1007/978-3-642-39112-5_36
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