Research on New Liberal Arts Professional Talent Cultivation Model Based on OBE Concept

[1] Hurst, A. L. (2018). Classed outcomes: how class differentiates the careers of liberal arts college graduates in the us. British Journal of Sociology of Education, 39, 1-19. Search in Google Scholar

[2] Zeid, A., Bogard, M., Javdeka, C., Steiger-Escobar, S., Moussavi, S., & Kapilow, V., et al. (2017). A hybrid and modular curriculum model in advanced manufacturing for liberal arts graduates. International Journal of Engineering Education, 33(1A), 138-150. Search in Google Scholar

[3] Ferrandiz, J., Fidel, P., & Conchado, A. (2018). Promoting entrepreneurial intention through higher education in entrepreneurship and the participation of students in and entrepreneurship ecosystem. International Journal of Innovation ence, 10(1), 00-00. Search in Google Scholar

[4] Zhai, L. (2021). Research on tourism management education under the background of new liberal arts construction. International Journal of Electrical Engineering Education, 002072092110052. Search in Google Scholar

[5] Leddy. (2019). Dewey, materiality, and the role of the visual (studio) arts in the liberal arts. Journal of Aesthetic Education, 53(4), 40. Search in Google Scholar

[6] Hosseini, S., Peluffo, D., Okoye, K., & Nganji, J. T. (2021). The impact of technological advancements on educational innovation (vsi-tei). Computers & Electrical Engineering, 93, 107333-. Search in Google Scholar

[7] Moreno-Guerrero, A. J., C Rodríguez-Jiménez, G Gómez-García, & Navas-Parejo, M. R. (2020). Educational innovation in higher education: use of role playing and educational video in future teachers’ training. Sustainability, 12(6), 2558. Search in Google Scholar

[8] Liang, J. (2022). “obe” concept for new training mode of electronic information science and technology professionals under big data analysis. Computational intelligence and neuroscience, 2022, 8075708. Search in Google Scholar

[9] Qiao, Y., & Fu, H. (2022). Study on obe teaching concept in the context of deep learning for the construction of university mathematics microcourses. Computational intelligence and neuroscience, 2022, 6860842. Search in Google Scholar

[10] Bai, Y. (2019). Construction and practice of music education professional personnel training model under the background of the big data. Basic & clinical pharmacology & toxicology. (S1), 125. Search in Google Scholar

[11] Yuan, Y. H., Liu, C. H., & Kuang, S. S. (2021). An innovative and interactive teaching model for cultivating talent’s digital literacy in decision making, sustainability, and computational thinking. Sustainability, 13(9), 5117. Search in Google Scholar

[12] Subotnik, R. F., Olszewski-Kubilius, P., Khalid, M., & Finster, H. (2019). A developmental view of mentoring talented students in academic and nonacademic domains: developmental view of mentoring talented students. Annals of the New York Academy of Sciences. Search in Google Scholar

[13] B Semete‐Makokotlela, Mahlangu, G. N., Mukanga, D., Darko, D. M., Stonier, P., & Gwaza, L., et al. (2022). Needs‐driven talent and competency development for the next generation of regulatory scientists in africa. British journal of clinical pharmacology, 88(2), 579-586. Search in Google Scholar

[14] Nancy, B., & Hertzog. (2017). Designing the learning context in school for talent development. Gifted Child Quarterly, 61(3). Search in Google Scholar

[15] Preckel, F., Golle, J., Grabner, R., Jarvin, L., Kozbelt, A., Müllensiefen, D., & Worrell, F. C. (2020). Talent development in achievement domains: A psychological framework for within-and cross-domain research. Perspectives on Psychological Science, 15(3), 691-722. Search in Google Scholar

[16] Li, L., Wang, W., & Bian, F. (2021). Application of the big data analysis model in higher education talent training quality evaluation. Complexity, 2021, 1-9. Search in Google Scholar

[17] Gong, X., & Lin, S. (2018). Construction of evaluation system of sports talent training scheme based on data mining. International journal of reasoning-based intelligent systems, 10(2), 128-133. Search in Google Scholar

[18] Luo, M. (2021). Multi-stage grey intelligent clustering model. The Journal of grey system, 33(1). Search in Google Scholar

[19] Yul, Y., Zhu, W., & Zhang, Q. (2019). Dea cross-efficiency evaluation and ranking method based on interval data. Annals of Operations Research, 278(1-2), 159-175. Search in Google Scholar