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Research on the optimization strategy of matching the structure of vocational education and industrial development in Hubei under the background of big data

 e    | 05 ago 2024
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Seyitolu, F., Atsz, O., Kaya, F., & Ta, S. (2022). The two-way perspective of tourism undergraduates towards (post-)viral world: the future of tourism, and vocational development and career. Journal of Hospitality, Leisure, Sport & Tourism Education. Search in Google Scholar

Okumu, I. M., & Bbaale, E. (2018). Technical and vocational education and training in uganda: a critical analysis. Development Policy Review. Search in Google Scholar

Altintas, Ilkay, Purawat, Shweta, Amaro, & Rommie, et al. (2017). Biomedical big data training collaborative (bbdtc): an effort to bridge the talent gap in biomedical science and research. Journal of Computational Science. Search in Google Scholar

Li, X., Fan, X., Qu, X., Sun, G., & Liao, Z. (2019). Curriculum reform in big data education at applied technical colleges and universities in china. IEEE Access, PP(99), 1-1. Search in Google Scholar

Song, B., & Ma, Y. (2020). Intelligent school talent information fusion management and talent training system optimization based on data mining. International Journal of Performability Engineering(12), 16. Search in Google Scholar

Liu, S. (2021). Human resource management of internet enterprises based on big data mobile information system. Mobile Information Systems, 2021(5), 1-9. Search in Google Scholar

Zhang, J., Yuen, M., & Chen, G. (2021). Career-Related Parental Support, Vocational Identity, and Career Adaptability: Interrelationships and Gender Differences. The Career development quarterly, 69(2), 130-144. Search in Google Scholar

Maessen, K., Vught, A. V., Gerritsen, D. L., Lovink, M. H., & Persoon, A. (2019). Development and Validation of the Dutch EBPAS‐ve and EBPQ‐ve for Nursing Assistants and Nurses with a Vocational Education. Worldviews on Evidence-Based Nursing, 16(2). Search in Google Scholar

Okute, A., Egbri, J. N., & Iwowo, S. E. (2018). Quality assurance in vocational/technology education and sustainable economic development in cross river state. International Journal of Educational Development, 22(2), 74-87. Search in Google Scholar

Yoel, S. R., & Dori, Y. J. (2022). First high-school students and first graduates: stem exposure and career choices. IEEE Transactions on Education(2), 65. Search in Google Scholar

Saputra, A., Wang, G., Zhang, J. Z., & Behl, A. (2022). The framework of talent analytics using big data. The TQM Journal(1), 34. Search in Google Scholar

Chu, T. (2022). Research on college students' physique testing platform based on big data analysis. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Gkalp, M. O., Kayabay, K., Gkalp, E., Koyiit, A., & Eren, P. E. (2021). Assessment of process capabilities in transition to a data-driven organisation: a multidisciplinary approach. IET Software. Search in Google Scholar

Wei, X. (2021). A classification method of tourism english talents based on feature mining and information fusion technology. Mobile Information Systems. Search in Google Scholar

Chen, Y. (2022). Evaluation method of advanced mathematics teaching reform effect based on big data analysis technology. Advances in Multimedia. Search in Google Scholar

Zhu, H., & Wang, Q. (2022). Design and management of microteaching mode of innovation and entrepreneurship education in colleges and universities driven by big data. Mobile Information Systems. Search in Google Scholar

Singh, N., Lai, K. H., Vejvar, M., & Cheng, T. C. E. (2019). Big data technology: challenges, prospects and realities. IEEE Engineering Management Review, 1-1. Search in Google Scholar

Hsiang, C. Y., & Yvonne, Y. Y. J. (2018). Industry 4.0 and the need for talent: a multiple case study of taiwan's companies. International Journal of Product Development, 22(4), 314. Search in Google Scholar

Zhang, L. (2022). The application of adaptive analytic hierarchy process driven by multisource big data in the training of school-enterprise joint engineering ability. Scientific Programming. Search in Google Scholar

Brunetti, I., & Corsini, L. (2019). School-to-work transition and vocational education: a comparison across Europe. International Journal of Manpower, 40(8), 1411-1437. Search in Google Scholar

Pitkowski, M. J. (2020). Expectations and challenges in the labour market in the context of industrial revolution 4.0. the agglomeration method-based analysis for poland and other eu member states. Sustainability, 12(13), 1-30. Search in Google Scholar

Owo, O. (2019). The role of government in building manpower for vocational and technology education in universities in niger-delta, nigeria. International Journal of Educational Research, 5(7), 63-75. Search in Google Scholar

Meng, F. (2017). Exploration and analysis of innovative model in local vocational education——take school-enterprise cooperation as an example. Journal of Higher Education. Search in Google Scholar

Luengo-Aravena, D., Cabello, P., & Bachino, R. M. (2024). Online collaborative problem-solving as a tangible outcome of digital skills in technical and vocational higher education. Computers & Education, 218. Search in Google Scholar

Gottfried, M. A., & Plasman, J. S. (2018). From secondary to postsecondary: charting an engineering career and technical education pathway. Journal of Engineering Education, 107(4), 531-555. Search in Google Scholar

Potvin, G., Mcgough, C., Benson, L., Boone, H. J., Doyle, J., & Godwin, A., et al. (2018). Gendered interests in electrical, computer, and biomedical engineering: intersections with career outcome expectations. IEEE Transactions on Education, PP(4), 1-7. Search in Google Scholar

Huang, Y., & Zhang, L. (2017). An innovative study on the training of internationalized russian talents in higher vocational colleges based on big data technology. Revista de la Facultad de Ingenieria, 32(15), 202-207. Search in Google Scholar

Shahid Hussain Gurmani,Shangfeng Zhang,Fuad A. Awwad & Emad A.A. Ismail. (2024). Combinative distance-based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making.Engineering Applications of Artificial Intelligence(PB),108165-. Search in Google Scholar

Andrzej Piegat & Marcin Pluciński. (2024). The realistic tolerance solution to a system of linear fuzzy and interval equations using the shifted membership function method.Information Sciences120619-. Search in Google Scholar

Yitong Mao,Chong Song & Bingnan Wang. (2024). Algorithm for the Weak Target Joint Detection and Ambiguity Resolution Based on Ambiguity Matrix.Remote Sensing(9). Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics