Reform and Practice of Talent Cultivation Model for Surveying and Mapping Majors under Background of OpenAI
Confronted with the swift advancement of artificial intelligence technology,traditional disciplines are grappling with the imperative of industry transformation.This paper undertakes a comprehensive analysis of the re-form trajectory in the talent training model for surveying and mapping engineering against the backdrop of OpenAI.Taking on Department of Surveying and Mapping Engineering at Kunming University of Science and Technology as a case study,the paper delineates specific reform proposals.These encompass the revitalization of the knowledge sys-tem,enhancement of faculty expertise,fostering interdisciplinary collaboration,and promoting integration between academia and industry.The paper concludes with an assessment of the reform's impact,a scrutiny of existing challen-ges,and a forward-looking perspective,aiming to serve as a practical empirical reference.
OpenAIsurveying and mapping majorsmachine learningtalent cultivation model
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