Abstract
In face-to-face collaborative learning, learners develop an argument about a common learning theme in a small group to understand the subject more deeply. Forming a more convincing argument often involves individual study, in which the learners study additional materials about the theme prior to the collaborative learning session. However, it is difficult for learners without sufficient argumentative skills to incorporate learned knowledge, which is acquired in individual study, into an argument. Therefore, we developed a system that supports face-to-face collaborative learning by enhancing viewpoint-sharing of learning materials. The proposed system provides visual representations of different viewpoints of each learning material for the learners while they discuss the theme. In our experiment, we confirmed the usefulness of the proposed system by comparing it with collaborative learning sessions without a system.
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This work was supported by JSPS KAKENHI Grant Number 25730210 and 15K16107.
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© 2016 Springer Science+Business Media Singapore
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Hayama, T., Hasegawa, K., Hoshiya, K. (2016). Face-to-Face Collaborative Learning by Enhancing Viewpoint-Sharing of Learning Materials. In: Yoshino, T., Chen, GD., Zurita, G., Yuizono, T., Inoue, T., Baloian, N. (eds) Collaboration Technologies and Social Computing. CollabTech 2016. Communications in Computer and Information Science, vol 647. Springer, Singapore. https://doi.org/10.1007/978-981-10-2618-8_15
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DOI: https://doi.org/10.1007/978-981-10-2618-8_15
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