Research on the Implementation Strategy of Competence-Oriented Postgraduate Cultivation Programme for Local Applied Universities with Big Data Technology

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Xihuang Lai, Zhihui Yang, Jing Cao, Min Liu


Prioritising the innovation capacity of postgraduates is paramount, with an effective training model serving as the linchpin. As information technology rapidly evolves and the era of big data looms, postgraduate education faces unprecedented challenges and opportunities. It is imperative for institutions to harness the potential of big data development, leveraging new technologies to enhance the talent development process. The postgraduate programme is the baton for talent development, and incorporating new information technology requirements and multidisciplinary synergies into the programme environment can reinforce the enhancement of innovative practical skills and data literacy, among others. In this way, the institutions provide society with a supply of high quality talent and help to promote the development of new quality productivity. Due to factors such as the regional economy, teaching staff, student quality and academic reputation, some local applied universities find it difficult to fully implement various good ideas for the postgraduate development programme, which to some extent affects the synergy between talent cultivation and local economic development needs. Taking North China University of Technology as an example, this paper adopts the deep learning model in big data technology and integrates capacity training into the daily teaching and practice process of postgraduate students according to the principle of “classified training, optimized links and improved capacity”. The group explored the theme of harnessing the potential of digital technology to support the growth of postgraduate education. Through interviews with students, on-campus and off-campus tutors, alumni and other stakeholders in talent development, they re-imagined the framework for postgraduate education, embodying the principles of strengthening the theoretical base, enhancing the integration of industry and education, and prioritising capacity building, and taking advantage of the digitalisation and networking of education. The research results show that the digital transformation of the education process with the help of big data technology has a driving effect on improving the innovative practical ability and overall quality of graduate students. This measure provides a reference for similar universities to revise their talent training programmes, and enriches the solutions to the problem of "good programmes are difficult to implement" in graduate student training.

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