Forecasting Career Choice for College Students Based on Campus Big Data

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• 关键词：Campus big data ; Career identity ; Career prediction ; Self ; knowledge
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9931
• 期：1
• 页码：359-370
• 全文大小：326 KB
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• 作者单位：Min Nie (17)
  Lei Yang (17)
  Bin Ding (17)
  Hu Xia (17)
  Huachun Xu (18)
  Defu Lian (17)
  
  17. Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China
  18. College of Teacher Education and Psychology, Sichuan Normal University, Chengdu, China
  
• 丛书名：Web Technologies and Applications
• ISBN：978-3-319-45814-4
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9931

文摘

Career indecision is a difficult obstacle in front of adolescents. Traditional vocational assessment research measure it by means of questionnaires and diagnose the potential sources of career indecision. Based on the diagnostic outcomes, career consolers develop the treatment plans tailor to students. However, because of personal motives and the architecture of the mind, it may be difficult for students to know themselves, so that the outcome of questionnaires can not fully reflect their inner states and statuses. Self-perception theory suggest students’ behavior could be used as clue for inference. Thus, we proposed a data-driven framework for forecast student career choice of graduation based on their behavior in and around the campus, playing an important role in supporting career counseling and career guiding. By evaluating on 10M behavior data of over four thousand students, we show the potential of this framework in these functionality.