Advanced forecasting of career choices for college students based on campus big data  

作　　者：Min NIE Lei YANG Jun SUN Han SU Hu XIA Defu LIAN Kai YAN 

机构地区：[1]Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China [2]Information Center, University of Electronic Science and Technology of China, Chengdu 611731, China

出　　处：《Frontiers of Computer Science》2018年第3期494-503,共10页中国计算机科学前沿（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China （Grant Nos. 61502077, 61631005） and the Fundamental Research Funds for the Central Universities （ZYGX2014Z012）.

摘　　要：Career indecision is a difficult obstacle confronting adolescents. Traditional vocational assessment research measures it by means of questionnaires and diagnoses the potential sources of career indecision. Based on the diagnostic outcomes, career counselors develop treatment plans tailored to students. However, because of personal motives and the architecture of the mind, it may be difficult for students to know themselves, and the outcome of questionnaires may not fully reflect their inner states and statuses. Selfperception theory suggests that students＇ behavior could be used as a clue for inference. Thus, we proposed a data-driven framework for forecasting student career choice upon graduation based on their behavior in and around the campus, thereby playing an important role in supporting career counseling and career guidance. By evaluating on 10M behavior data of over four thousand students, we show the potential of this framework for this functionality.Career indecision is a difficult obstacle confronting adolescents. Traditional vocational assessment research measures it by means of questionnaires and diagnoses the potential sources of career indecision. Based on the diagnostic outcomes, career counselors develop treatment plans tailored to students. However, because of personal motives and the architecture of the mind, it may be difficult for students to know themselves, and the outcome of questionnaires may not fully reflect their inner states and statuses. Selfperception theory suggests that students＇ behavior could be used as a clue for inference. Thus, we proposed a data-driven framework for forecasting student career choice upon graduation based on their behavior in and around the campus, thereby playing an important role in supporting career counseling and career guidance. By evaluating on 10M behavior data of over four thousand students, we show the potential of this framework for this functionality.

关 键 词：campus big data career identity career choiceprediction SELF-KNOWLEDGE 

分 类 号：TU984.14[建筑科学—城市规划与设计] G641[文化科学—高等教育学]