2018•Unpublished venueRequires access

Using E-Learning to Meet the Challenge of College Entrance Examination Reform in China

Zhang Rui, Tiangang Wu, Song Zhihuai, Ni Zhongqiang, Gu Mu

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Abstract

Since the college entrance examination reform begins in Shanghai and Zhejiang, China. The time that high school students in these two regions spend on physics decreased greatly, leading to bad performance in the university physics exam. In Tongji University, we attempted to use blended learning to fill the gaps between high school and university physics for students failed the Placement Test. With the help of E-Learning, these students' fail rate decreased 13% compared with control group. The result of cluster analyze shows that the benefit for student with poorer performance is greater compared with control group, which might be the cause of the less fail rate.

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What this paper is about

Since the college entrance examination reform begins in Shanghai and Zhejiang, China. The time that high school students in these two regions spend on physics decreased greatly, leading to bad performance in the university physics exam. In Tongji University, we attempted to use blended learning to fill the gaps between high school and university physics for students failed the Placement Test. With the help of E-Learning, these students' fail rate decreased 13% compared with control group. The result of cluster analyze shows that the benefit for student with poorer performance is greater compared with control group, which might be the cause of the less fail rate.

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Available abstract

Since the college entrance examination reform begins in Shanghai and Zhejiang, China. The time that high school students in these two regions spend on physics decreased greatly, leading to bad performance in the university physics exam. In Tongji University, we attempted to use blended learning to fill the gaps between high school and university physics for students failed the Placement Test. With the help of E-Learning, these students' fail rate decreased 13% compared with control group. The result of cluster analyze shows that the benefit for student with poorer performance is greater compared with control group, which might be the cause of the less fail rate.

Key concepts: China, Mathematics education, Test (biology), Entrance exam, Cluster (spacecraft), Medical education, Computer science, Psychology

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