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Determining IT Student Profile Using Data Mining and Social Network Analysis
International Journal of Computers Communications & Control ( IF 2.0 ) Pub Date : 2020-07-06 , DOI: 10.15837/ijccc.2020.5.3897
Liana Stanca , Ramona - Lacurezeanu , Adriana Tiron-Tudor , Vasile Paul Bresfelean , Ionut Pandelica

To become higher competitive a university needs to develop a viable students’ absorption strategy on the labor market. A key to the successful development of such a strategy rests to synchronize jobs descriptions with profiles and behavior of IT students. In order to generate this synchronization, it is essential to identify a way to improve university curricula, learning and teaching process based on the students’ profile and on the labor market needs. In this manner, universities could offer IT companies information about their IT students’ profile and behavior. Our paper proposes a data mining and social network analysis to examine IT students’ skills and behavior in order to generate their actual profile. The results contribute to the development of knowledge concerning the IT graduates’ profile and based on this, a solution that might match the university curricula with the labor market requirements. Finally, the results attempt to provide IT companies with information with the aim of better understanding the IT students’ profile and to create a realistic description of the job in the recruitment software on the digital market.

中文翻译:

使用数据挖掘和社交网络分析确定IT学生档案

为了提高竞争力,大学需要制定可行的学生在劳动力市场上的吸收策略。成功开发这种策略的关键在于将职位描述与IT学生的个人资料和行为同步。为了产生这种同步,必须根据学生的个人资料和劳动力市场的需求,找到一种改善大学课程,学与教过程的方法。这样,大学可以向IT公司提供有关IT学生的个人资料和行为的信息。本文提出了一种数据挖掘和社交网络分析,以检查IT学生的技能和行为,以生成他们的实际资料。结果有助于发展有关IT毕业生的简介的知识,并以此为基础,一种可以使大学课程与劳动力市场需求相匹配的解决方案。最后,结果试图为IT公司提供信息,以更好地理解IT学生的个人资料,并在数字市场上的招聘软件中创建对职位的真实描述。
更新日期:2020-08-30
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