Cultivating Postgraduates’ Core Competitiveness in the aspects of Teaching Methods, Scientific Research Approaches, and Curriculum Setting in the Era of Artificial Intelligence
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Abstract
In the new era characterized by the rapid iteration of artificial intelligence (AI) technology and the continuous upgrading of industrial demands, postgraduates, as the core reserve force for national scientific and technological innovation, their core competitiveness is directly related to the implementation effect of a country’s strategies of building a strong scientific and technological nation and a strong educational nation. Artificial intelligence technology has reshaped the underlying logic of knowledge production and application, putting forward new advancements for postgraduates’ core competitiveness in terms of knowledge structure, scientific research ability, and innovative literacy. Despite these advancements, challenges remain, including issues of teaching mode, scientific research approach, and curriculum system surrounding AI- driven education. Based on the technical characteristics of the artificial intelligence era and the demand for high-level talents, the study systematically explores the constituent elements and cultivating paths of postgraduates’ core competitiveness from three core dimensions: teaching mode innovation, scientific research approach reshaping, and curriculum system reconstruction in the framework of Artificial Intelligence.
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