Use Logistic Regression model and SPSS Software to analyze the Added Value and Influencing Factors of the Employability of Postgraduates in Engineering
Konferenz: CAIBDA 2022 - 2nd International Conference on Artificial Intelligence, Big Data and Algorithms
17.06.2022 - 19.06.2022 in Nanjing, China
Tagungsband: CAIBDA 2022
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Liu, Wei (Shaoyang University, Shaoyang, China)
Inhalt:
SPSS26.0 software-assisted construction of logistic regression model, in order to study the increment of employment ability and its influencing factors of engineering postgraduates. The school-leaving questionnaires of graduates of master of engineering from S University were selected to study the added value and influencing factors of the employability of postgraduates in engineering. The research results show that the employability of postgraduates in engineering has been significantly improved in terms of knowledge updating ability, professional practice ability, innovation and creativity ability, and expression and communication ability. In the educational process of postgraduates of professional degree, factors such as professional practice process, mentor's guidance and input, and the conditions and management of training departments are significantly related to the added value of employability. It is suggested to add value and enhance the employability of postgraduates in engineering from three aspects: strengthening the construction of the school-enterprise dual-tutor team, improving the design and control of professional practice, and improving the training conditions and professional practice environment.