【摘要】 教育高质量发展与教育数字化转型背景下,构建科学、全面的本科拔尖创新人才综合素养评价体系,已成为育人模式改革的关键。当前高校的评价实践存在过程性与增值性证据不足、多源数据融合困难、评价与培养干预脱节等问题。该文提出并构建了一套以发展为导向、覆盖培养全过程的本科拔尖创新人才综合素养评价体系。首先基于“育人目标—能力域—观测项—数据源”映射逻辑建立多维度评价指标;进而采用层次分析法(AHP)确定各维度权重,结合模糊综合评价(FCE)实现定性与定量指标的同构处理;最后依托教育大数据平台汇聚多源数据进行全方位评估。三年来900余名学生的试点表明,该系统能有效反映学生综合能力成长轨迹,显著提升了学生课程参与、团队协作等方面的积极性与投入度。本文构建的评价体系不仅实现了对学生成长过程的证据化呈现与多维度诊断,也为高校开展精准培养、优化教学资源配置提供了可行路径。更多还原

【Abstract】 Against the backdrop of high-quality development and digital transformation in education, constructing a scientific and comprehensive evaluation system for the comprehensive qualities of outstanding undergraduate innovative talents has become pivotal in driving the reform of talent cultivation models. Current evaluation practices in higher education institutions face challenges such as insufficient process-based and value-added evidence, difficulties in integrating multisource data, and a disconnect between evaluation and cultivation interventions. This paper proposes and constructs a development-oriented evaluation system for the comprehensive qualities of outstanding undergraduate innovative talents that spans the entire cultivation process. Firstly, a multi-dimensional evaluation index is established based on the mapping logic of “ educational objectives—competency domains—observable indicators—data sources.” Subsequently, the Analytic Hierarchy Process(AHP) is employed to determine the weights of each dimension, combined with Fuzzy Comprehensive Evaluation(FCE) to achieve the isomorphic processing of qualitative and quantitative indicators. Finally, an education big data platform is utilized to aggregate multisource data for comprehensive assessment. A three-year pilot involving over 900 students demonstrates that this system effectively reflects the growth trajectory of students’ comprehensive abilities and significantly enhances their enthusiasm and engagement in areas such as course participation and teamwork. The evaluation system constructed in this paper not only provides evidence-based representation and multi-dimensional diagnosis of students’ growth processes but also offers a feasible pathway for universities to implement precision cultivation and optimize the allocation of teaching resources.更多还原