Abstract
The wide application of artificial intelligence and big data has given birth to a new employment mode and a new ecology of vocational education. In order to solve the problems of lagging behind and slow employment, asymmetric employment informatization and lack of individualized employment guidance, this paper, based on the thinking and technology of big data, constructs a model with student training as the guidance and accurate employment as the core, The University intelligent employment service mode and employment platform, which integrates employment, recruitment, education, evaluation, monitoring, research and judgment, realizes online vocational course learning, accurate job recommendation, career planning guidance, student difference analysis, student career portrait, employer job portrait, enterprise recruitment, Graduate portrait and other services, and helps to upgrade and reform the employment mode, Improve the quality of personnel training and employment competitiveness of college students.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wang, T.: Analysis of the current situation of employment and entrepreneurship of college graduates and countermeasures. Educ. Occup. 21, 74–76 (2015)
Mo, Y.: The implementation of career guidance in the employment of college graduates. Adult Educ. China 9, 73–75 (2015)
Yang, X., Guo, L., Jin, X., et al.: Big data help the reform of the new college entrance examination: framework design and implementation path. Res. Audio Vis. Educ.(2), 30–37 (2019)
Li, Z., Zhou, D., Liu, N., et al.: Modern educational technology (1), 100–106 (2018)
Qiao, J., Zhang, B., Yang, Y.: Research on construction mode and application of production dispatching command platform of engineering company. Project Manag. Technol. 19(03), 127–131 (2021)
Zhao, R., Li, J.: Construction and application of power grid visual intelligent management platform. Electr. Era (03), 19–21 + 27 (2021)
Fu, Q., Ren, F., Zhao, Z., Liu, Q., Wei, Z.: Exploration on construction mode of Navigation Engineering Laboratory. J. High. Educ. (09), 50–53 + 57 (2021)
Jinli, H.: Practice points of urban gas Internet of things. Urban Manag. Technol. 22(02), 60–63 (2021)
Lei, Y., Yao, J., Liu, J.: Support system for information platform construction of innovation and entrepreneurship under the background of “Internet plus”. Sci. Technol. Econ. Guide 29(07), 35–36 (2021)
Ning, W., Zhang, J., Wei, S., Hou, X., Zhu, H.: A wireless individual video system integrated into enterprise platform. China Constr. Inf. 04, 71–73 (2021)
Peng, Q., Liu, L., Duan, X.: Construction and application of digital horse academy. Beijing Educ. (Moral Educ.) 01, 13–15 (2021)
Li, M.: Application of BIM technology in intelligent building construction. Jushe 06, 32–33 (2021)
Xu, Q., Liu, C., Su, P., Huang, Y., Xie, H.: Analysis on the construction practice of “multi planning integration” application platform under the goal of sharing and collaboration. Geospatial Inf. 19(02), 125–130 + 8 (2021)
The application of information technology in reservoir engineering in Shanxi Province [J, 198,47]
Xu, N.: Construction and application of real estate management platform based on GIS. J. Changchun Normal University 40(02), 132–136 (2021)
Ouyang, S., et al.: Construction and application of 3D virtual simulation experiment platform for waste tire thermal conversion to biofuel process. Internet of Things Technol. 11(02), 106–109 (2021)
Li, C., Guo, W., Wang, S.: Research on the construction and application of HRP based economic management data platform for public hospitals. Chinese General Accountant (02), 26–28 (2021)
Teng, J.: Application of cloud computing in information construction of secondary vocational colleges. China Arab Sci. Technol. Forum (Chin. Engl.) 02, 130–132 (2021)
Feng, T., Che, H., Kang, H., Mei, F.: Construction and application of industry university research platform for software engineering curriculum group. Comput. Educ. (02), 144–148 (2021)
Wang, L.: Application of big data technology in smart city. Comput. Inf. Technol. 29(01), 64–67 (2021)
Ma, H., Wang, Y., Yang, J.: Online teaching course construction and practice exploration based on Intelligent vocational education cloud platform – taking “Engineering Mechanics” course as an example. Sci. Technol. Wind 04, 95–96 (2021)
Wu, Z., Zhang, X., Ma, W., Wang, X.: Research on the construction of practical teaching platform in and out of application-oriented colleges and universities – building a practical platform for the cultivation of innovative talents. J. Sci. Technol. Econ. 29(04), 127–128 (2021)
Shan, K., Yuan, S., Xu, F., Zhang, H., Wang, J.: Research on the application of blockchain in university informatization construction. China Educ. Inf. (03), 36–39 (2021)
Zhang, J., Zhang, T.: Research on platform construction of mechanical engineering training center for applied talents training. Fortune Today 04, 190–191 (2021)
Acknowledgements
A New Characteristics of the Ideological Development of Poverty University Students in Universities and Colleges by the Provincial Basic Business Fee Project of Harbin Institute of Finance (2018-KYWF-E017).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, P. (2021). Construction and Application of Employment Platform for Intelligent Poor College Students Under Information-Based Education. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-030-87903-7_65
Download citation
DOI: https://doi.org/10.1007/978-3-030-87903-7_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87902-0
Online ISBN: 978-3-030-87903-7
eBook Packages: Computer ScienceComputer Science (R0)