数智赋能硕士研究生招生评价体系的变革与建构

The Transformation and Reconstruction of the Master’s Student Admissions Evaluation System Empowered by Digital Intelligence

摘要: 在大数据与人工智能等数智技术迅猛发展的当下，教育领域正处于深刻变革的浪潮之中。硕士研究生招生评价体系作为高层次专业人才选拔培养的核心枢纽，迫切需要与时俱进，以契合新时代的需求，达成精准、高效且全面的评价目标。本文旨在深入剖析数智技术在研究生招生评价体系中的赋能路径，推动该评价体系的现代化变革进程，全面梳理传统招生评价体系的现状与不足，深入挖掘数智技术在拓展评价指标维度、优化评价方法以及提升信息处理效能等方面的巨大潜力与机遇，进而提升招生工作的质量与效率，为后续硕士研究生招生评价体系优化提供理论依据与应用参考。

Abstract: Amidst the rapid advancement of digital-intelligent technologies such as big data and artificial intelligence, the field of education is undergoing profound transformations. As a pivotal hub for selecting and cultivating high-level professionals, the evaluation system for master’s student admissions urgently needs to evolve with the times to align with the demands of the new era and achieve precise, efficient, and comprehensive evaluation goals. This paper aims to conduct an in-depth analysis of the empowerment pathways of digital-intelligent technologies within the master’s student admissions evaluation system, thereby advancing its modernization. It provides a comprehensive review of the current status and shortcomings of traditional admissions evaluation systems, delving into the significant potential and opportunities offered by digital-intelligent technologies in expanding the dimensions of evaluation indicators, optimizing evaluation methods, and enhancing information processing efficiency. Ultimately, this study seeks to improve the quality and efficiency of admissions processes and provide theoretical foundations and practical references for the optimization of the master’s student admissions evaluation systems.