Abstract
Learners generate their own answers by exchanging their opinions through communication in collaborative learning. Therefore, the conversation record and their private descriptions often include effective information for solving exercises. Such information can be used for assisting other learners who try to solve the same exercise. Our objective is to extract effective knowledge from collaborative learning record and to arrange such knowledge from viewpoint of solving the exercise progressively. Participants’ private descriptions are generated according to the utterance, so that the descriptions can be linked to the effective utterance that is newly uttered. Therefore, in our approach, knowledge is extracted based on participants’ annotations and described time. Then, the discussion knowledge graph is introduced from the conversation record and participants’ descriptions. Learners can find hints easily and solve exercise effectively with discussion knowledge graph.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Zhao, J., Hoppe, H.U.: Supporting Flexible Communication in Heterogeneous Multi-user Environments. In: Proc. of 14th IEEE International Conference on Distributed Computing Systems, pp. 422–429. IEEE, Los Alamitos (1994)
Plotzner, R., Hoppe, H.U., Fehse, E., Nolte, C., Tewissen, F.: Model-based Design of Activity Spaces for Collaborative Problem Solving and Learning. In: Proc. of European Conference on Artificial Intelligence in Education, pp. 372–378 (1996)
Goodman, B., Geier, M., Haverty, L., Linton, F., McCready, R.: A Framework for Asynchronous Collaborative Learning and Problem. In: Moore, J.D., et al. (eds.) Proc. of Artificial Intelligence in Education, IOS Press, Amsterdam (2001)
Kayaka, M., Okamoto, T.: Knowledge Management Framework for Collaborative Learning Support. In: van Elst, L., Dignum, V., Abecker, A. (eds.) AMKM 2003. LNCS (LNAI), vol. 2926, pp. 107–117. Springer, Heidelberg (2004)
Kakehi, M., Kojiri, T., Watanabe, T.: Annotation Interpretation of Collaborative Learning History for Self-Learning. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4252, pp. 1062–1070. Springer, Heidelberg (2006)
Kakehi, M., Kojiri, T., Watanabe, T.: Time-Based Self-Learning Support Using Collaborative Learning Process. In: Proc. of ICCE (2006), pp. 237–240 (2006)
Kojiri, T., Ogawa, Y., Watanabe, T.: Agent-oriented Support Environment in Web-based Collaborative Learning. Journal of Universal Computer Science 7(3), 226–239 (2001)
Kojiri, T., Yamaguchi, K., Watanabe, T.: Visualization of Temporal Topic-flow in Collaborative Learning. In: Proc. of HCII2005, vol. 5(132) (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kakehi, M., Kojiri, T., Watanabe, T., Yamada, T., Iwata, T. (2007). Organization of Discussion Knowledge Graph from Collaborative Learning Record. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_74
Download citation
DOI: https://doi.org/10.1007/978-3-540-74829-8_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74828-1
Online ISBN: 978-3-540-74829-8
eBook Packages: Computer ScienceComputer Science (R0)