Abstract
Although a set of competitive learning models have been proposed to benefit students’ learning, they are limited in some aspects. Thus, there is a need to investigate other models. In this paper, we propose a self-competition model, in which students use avatars to represent their learning status. In addition, the current statuses of their avatars are further compared with the past statuses of their avatars. Through the self-competition model, students might be benefited.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mussweiler, T.: Comparison processes in social judgment: Mechanisms and consequences. Psychological Review 110, 472–489 (2003)
Yu, F.Y., Chang, L.J., Liu, Y.H., Chan, T.W.: Learning preferences towards computerized competitive mode. Journal of Computer-Assisted Learning 18, 341–350 (2002)
Slavin, R.E.: Cooperative learning: Theory, research, and practice. Prentice-Hall, Englewood Cliffs (1990)
Chen, Z.H., Liao, C.C.Y., Chien, T.C., Chan, T.W.: Animal companions: Fostering children’s effort-Making by nurturing virtual pets. British Journal of Educational Technology 42(1), 166–180 (2011)
Bull, S., Kay, J.: Student models that invite the learner in: The SMILI open learner modelling framework. International Journal of Artificial Intelligence in Education 17(2), 89–120 (2007)
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
Chen, ZH., Chien, TC., Chan, TW. (2011). Using Self-competition to Enhance Students’ Learning. In: Chang, M., Hwang, WY., Chen, MP., Müller, W. (eds) Edutainment Technologies. Educational Games and Virtual Reality/Augmented Reality Applications. Edutainment 2011. Lecture Notes in Computer Science, vol 6872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23456-9_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-23456-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23455-2
Online ISBN: 978-3-642-23456-9
eBook Packages: Computer ScienceComputer Science (R0)