Computing and Intelligent Systems: International Conference, by Yang Bo, Li Yingfang, Li Junsheng, Sun Jianhong (auth.),

By Yang Bo, Li Yingfang, Li Junsheng, Sun Jianhong (auth.), Yanwen Wu (eds.)

This six-volume-set (CCIS 231, 232, 233, 234, 235, 236) constitutes the refereed court cases of the foreign convention on Computing, info and keep watch over, ICCIC 2011, held in Wuhan, China, in September 2011. The papers are equipped in volumes on leading edge Computing and data (CCIS 231 and 232), volumes on Computing and clever structures (CCIS 233 and 234), and in volumes on details and administration Engineering (CCIS 235 and 236).

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Additional info for Computing and Intelligent Systems: International Conference, ICCIC 2011, Wuhan, China, September 17-18, 2011. Proceedings, Part IV

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Keywords: Knowledge building, Synergistic learning, Social Network Analysis. 1 Introduction Knowledge building is actually a term with different research contexts. While the constructivists highlight the construction from the angle of the subjects of knowledge processing, Scardamalia and Bereiter(2003) focused on the procedure of knowledge processing, they defined the knowledge building as “the continuous generation and development of valuable knowledge in the community”[1]. Social constructivism believes that knowledge is a constructive process that interacts with community members, and it can’t exist without the social cultural context where the individuals live.

In: Proceedings of the IEEE International Conference on Data Engineering, pp. : Efficient Data Integration under Integrity Constraints: a Practical Approach: [PhD Thesis]. Roma: University of Rome La Sapienza (2006) [7] Transaction Processing Performance Council. com Abstract. Selecting tags for describing the given item is the key to develop practical content-based item recommender systems using folksonomy. A novel strategy is proposed in the paper. With the strategy, tags are selected on the basis of users’ behavior pattern analysis.

Therefore, Professor Zhu Zhiting proposed the new synergistic learning framework and meta-model. The synergistic learning technological system is a practice-oriented innovative model [3]. The synergistic learning technological system is a well-structured collective teachingoriented learning environment. In order to support the synergistic learning, the team technologically developed synergistic learning tools, including 2 sub-tools – synergistic marking and synergistic building [4]. This study adopted the synergistic building tools to analyze the social network of knowledge building, the tools realize the collective knowledge building and the schematic presentation of collective memory.

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