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- W1033073171 abstract "AbstractThe 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.KeywordsSocial LearningSocial networkWikipast examco-writingcollaborative learningassessment" @default.
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- W1033073171 date "2012-01-01" @default.
- W1033073171 modified "2023-10-12" @default.
- W1033073171 title "Using a Wiki-Based Past Exam System to Assist Co-writing Learning Assessment with Social Network" @default.
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- W1033073171 doi "https://doi.org/10.1007/978-94-007-5086-9_27" @default.
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