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A Wiki-Based Assessment System Towards Social-Empowered Collaborative Learning Environment

  • Bruce C. Kao
  • Yung Hui Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 240)

Abstract

The social network has been a very popular research area in the recent years. Lot of people at least have one or more social network account and use it keep in touch with other people on the internet and build own small social network. Thus, the effect and the strength of social network is a very deep and worth to figure out the information delivery path and apply to digital learning area. In this age of web 2.0, sharing knowledge is the main stream of the internet activity, everyone on the internet share and exchanges the information and knowledge every day, and starts to collaborate with other users to build specific knowledge domain in the knowledge database website like Wikipedia. This learning behavior also called co-writing or collaborative learning. This learning strategy brings the new way of the future distance learning. But it is hard to evaluate the performance in the co-writing learning activity, researchers still continue to find out more accurate method which can measure and normalize the learner’s performance, provide the result to the teacher, assess the student learning performance in social dimension. As our Lab’s previous research, there are several technologies proposed in distance learning area. Based on these background generation, we build a wiki-based website, provide past exam question to examinees, help them to collect all of the target college or license exam resource, moreover, examinees can deploy the question on the own social network, discuss with friends, co-resolve the questions and this system will collect the path of these discussions and analyze the information, improve the collaborative learning assessment efficiency research in social learning field.

Keywords

Social learning Social network Wiki Past exam Co-writing Collaborative learning Assessment 

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Copyright information

© Springer Science+Business Media Dordrecht(Outside the USA) 2013

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringTamkang UniversityNew TaipeiPeople’s Republic of China
  2. 2.Department of Computer Science and Networking EngineeringLunghwa University of Science and TechnologyTaoyuanPeople’s Republic of China

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