多维评价视域下科创竞赛拔尖人才选拔机制的重构与优化研究

Research on the Optimization Path of Top Innovative Talent Selection Based on Science and Technology Innovation Competitions from the Perspective of Multi-Dimensional Evaluation

摘要: 培养具备卓越创新能力的人才已成为高等教育面临的核心任务，这对于应对全球科技竞争、推动社会经济发展具有重要意义。学科竞赛作为检验学生创新实践能力的“重要实践场域”，其过程蕴含着丰富的人才评价数据。文章针对当前科创竞赛人才选拔中存在的评价维度单一、过程数据缺失、选拔机制滞后等核心痛点，提出了一种基于多元评价视角的选拔路径优化方案。研究融合了OBE理念与大数据技术，构建了包含“创新潜质、工程实践、团队协作、成长增值”四维度的综合评价指标体系，并建立了全过程、动态化的智能评价模型。通过重构“赛–教–评”联动的选拔机制，实现了从“结果导向”向“过程与结果并重”的范式转变。实践表明，该路径能有效解决传统模式下“选不准、选不全”的问题，为高校精准识别和选拔具有科研潜质的拔尖创新人才提供了系统化的理论依据与实践范式。

Abstract: Cultivating talents with exceptional innovative capabilities has become the core mission of higher education, which holds significant importance for addressing global technological competition and promoting socio-economic development. As a “critical practical field” for testing students’ innovative practical ability, subject competitions contain rich talent evaluation data in their processes. Aiming at the core pain points in the current selection of talents in science and technology innovation competitions, such as single evaluation dimension, lack of process data, and lagging selection mechanism, this paper proposes an optimization scheme of selection path based on a multi-dimensional evaluation perspective. The research integrates OBE concept and big data technology to construct a comprehensive evaluation index system including four dimensions of “innovation potential, engineering practice, teamwork, and growth value-added”, and establishes a whole-process, dynamic intelligent evaluation model. By reconstructing the “Competition-Teaching-Evaluation” linked selection mechanism, the paradigm shift from “result-oriented” to “process and result emphasis” is realized. Practice has shown that this path can effectively solve the problems of “inaccurate selection” and “incomplete selection” in traditional models, providing a systematic theoretical basis and practical paradigm for colleges and universities to accurately identify and select top innovative talents with scientific research potential.