From Technology Empowerment to Value Reshaping: Research on the OBE Education Mechanism for "Sports + Finance" Composite Talents in the Perspective of "Digital Intelligence +"

Abstract

Currently, against the backdrop of the deep intersection of the national strategies of "Sports Power" and "Financial Power," the deep capitalization of the sports industry and the cross-border allocation of financial capital have become the new normal for high-quality economic development. This industrial transformation poses brand-new challenges to the talent supply side, creating an urgent need for high-level composite talents who possess both sports industry operational thinking and the ability to apply modern financial tools. However, an examination of current practices in "Sports + Finance" interdisciplinary talent cultivation in higher education reveals structural dilemmas such as solidified disciplinary barriers, "platter-style" curriculum systems, lack of authentic practical scenarios, and lagging evaluation mechanisms. These issues lead to a significant misalignment between talent cultivation outcomes and actual industrial demands. The new round of technological revolution, represented by "Digital Intelligence +" technologies such as artificial intelligence, big data, digital twins, and knowledge graphs, not only provides technical means to break through these dilemmas but also triggers deep changes in the educational ecosystem. Based on the concept of Outcome-Based Education (OBE), this paper abandons the traditional empiricist paradigm to deeply analyze the internal mechanism of "Digital Intelligence +" technology empowering interdisciplinary talent cultivation. It argues for a new educational logic moving from simple "technology empowerment" to deep "value reshaping." The paper systematically constructs a full-chain cultivation mechanism including a reverse design objective system based on big data profiling, a forward implementation teaching process based on virtual-real integration, and a continuous improvement evaluation loop based on full-process data driving. Furthermore, it proposes specific practical paths from aspects such as knowledge graph construction, immersive platform building, human-machine collaborative faculty development, and the reshaping of industry-education integration ecology. The aim is to provide prospective theoretical references and action plans for the reform of composite talent cultivation in application-oriented universities under the background of New Liberal Arts and New Finance and Economics.