Abstract
This paper describes an application of a machine-learning agent, SimStudent, as a teachable peer learner that allows a student to learn by teaching. SimStudent has been integrated into APLUS (Artificial Peer Learning environment Using SimStudent), an on-line game-like learning environment. The first classroom study was conducted in local public high schools to test the effectiveness of APLUS for learning linear algebra equations. In the study, learning by teaching (i.e., APLUS) was compared with learning by tutored-problem solving (i.e., Cognitive Tutor). The results show that the prior knowledge has a strong influence on tutor learning – for students with insufficient training on the target problems, learning by teaching may have limited benefits compared to learning by tutored problem solving. It was also found that students often use inappropriate problems to tutor SimStudent that did not effectively facilitate the tutor learning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Roscoe, R.D., Chi, M.T.H.: Understanding tutor learning: Knowledge-building and knowledge-telling in peer tutors’ explanations and questions. Review of Educational Research 77(4), 534–574 (2007)
Matsuda, N., Keiser, V., Raizada, R., Tu, A., Stylianides, G., Cohen, W.W., Koedinger, K.R.: Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010. LNCS, vol. 6094, pp. 317–326. Springer, Heidelberg (2010)
Matsuda, N., et al.: A Computational Model of How Learner Errors Arise from Weak Prior Knowledge. In: Taatgen, N., van Rijn, H. (eds.) Proceedings of the Annual Conference of the Cognitive Science Society, pp. 1288–1293. Cognitive Science Society, Austin (2009)
Biswas, G., et al.: Learning by teaching: a new agent paradigm for educational software. Journal Applied Artificial Intelligence 19(3&4), 363–392 (2005)
Michie, D., Paterson, A., Hayes, J.E.: Learning by teaching. In: Proc. of Second Scandinabian Conference on Artificial Intelligence, Tampere, Finland, pp. 413–436 (1989)
Bredeweg, B., et al.: DynaLearn - Engaging and Informed Tools for Learning Conceptual System Knowledge. In: Azevedo, P.R.R., Biswas, G. (eds.) AAAI Fall Symposium, Cognitive and Metacognitive Educational Systems (MCES 2009), pp. 46–51. AAAI Press, Arlington (2009)
Nichols, D.M.: Intelligent Student Systems: an Application of Viewpoints to Intelligent Learning Environments. Lancaster University, Lancaster (1993)
Palthepu, S., Greer, J., McCalla, G.: Learning by teaching. In: Proceedings of the International Conference on Learning Sciences, Illinois (1991)
Ritter, S., et al.: Cognitive tutor: Applied research in mathematics education. Psychonomic Bulletin & Review 14(2), 249–255 (2007)
Koedinger, K.R., Aleven, V.: Exploring the Assistance Dilemma in Experiments with Cognitive Tutors. Educational Psychology Review 19(3), 239–264 (2007)
Walker, E., Rummel, N., Koedinger, K.R.: To Tutor the Tutor: Adaptive Domain Support for Peer Tutoring. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S., et al. (eds.) ITS 2008. LNCS, vol. 5091, pp. 626–635. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matsuda, N. et al. (2011). Learning by Teaching SimStudent – An Initial Classroom Baseline Study Comparing with Cognitive Tutor. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-21869-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21868-2
Online ISBN: 978-3-642-21869-9
eBook Packages: Computer ScienceComputer Science (R0)