Abstract
With the rapid development of China’s social economy and capital market, composite design talents with innovative and practical capabilities have become an inevitable requirement for the rapid development of higher education design industry and an inevitable trend of design education reform. At present, there are many ways to cultivate compound talents in universities. Taking the undergraduate professional construction of High-tech Education Group as an example, the innovation and practice of the “1 + N” composite design talent network training model is proposed. Based on the transformation analysis of the social and professional positioning of design talents, combined with the connotation and elements of the network training model, the current status and existing problems of design education in universities at home and abroad are discussed, and the existing problems are analyzed. In the form and content of higher education, it also proposes innovation and practical countermeasures for the “1 + N” compound talent network training model. Combining its own practice, it is good at designing compound talent network training systems and models in the process of continuously exploring practical experience. By establishing a systematic basic education concept, opening up and infiltrating, breaking through traditional professional models and disciplinary obstacles, and realizing the open integration of the talent training process with vertical and horizontal open curriculum systems, innovative teaching content and teaching methods, “1 + N” And the practice of comprehensive design talent training model has achieved remarkable results.
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Innovation and practice of “1 +N” compound design talent training mode - take the undergraduate major jointly established by Gaoxin education group as an example No: 2019J0985.
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Li, Y. (2020). Innovation and Practice of “1 + N” Composite Design Talent Network Training Model: A Case Study of New Higher Education. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_82
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DOI: https://doi.org/10.1007/978-3-030-43309-3_82
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