Translated Titles

MyNext: A Collective Intelligence Enabled System for Cross-Checking Entrance Exam Results





Key Words

網路應用程式 ; 研究所入學考試 ; 交叉查榜 ; 線上社群 ; 集體智慧 ; Web application ; graduate school entrance exam ; cross-checking ; online social network ; collective intelligence



Volume or Term/Year and Month of Publication


Academic Degree Category




Content Language


Chinese Abstract


English Abstract

In Taiwan, graduate school entrance exams are conducted on Spring term each year and results are released shortly after the exams have finished. Students could thus browse the corresponding school websites for the releases. In recent years, some online cross-checking systems have been developed for one-stop checking. However, these systems are usually badly designed and they do no provide information on if a short-listed student will give up the offer. In this regard, we present in this paper an advanced cross-checking system called MyNext. MyNext provides three major functions. First, it provides an interface for a student to cross-check the lists. Second, by connecting with Facebook, an interface has been developed to let the students seeking advices from their friends. The interface allows their friends leaving comments and giving recommendations. This collective intelligence (combining comments, recommendations and other advices) would definitely be beneficial to a student on justifying how likely he/she will be admitted to the applied programs. Besides, friends can tell if the applied programs are really suitable for the student. Finally, owing to resolve the problem of two or more students with the same name, a simple function has been developed to let a student to cross out the programs he/she has not applied. In such case, the system could distinguish who is who on the list and thus make cross-checking more effective and reliable.

Topic Category 管理學院 > 科技管理研究所
社會科學 > 管理學
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