数智赋能与以评促建:应用型本科高校数字化教学评价的有效路径
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成都银杏酒店管理学院

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新建院校改革与发展研究中心项目“产教融合下应用型本科高校人才培养质量评价研究”(项目编号:XJYX2025B02);四川省民办教育协会2025年度项目“产教融合与数智赋能:民办高校应用型人才培养路径创新研究”(项目编号:MBXH25YB35);中国民办教育协会2024年度规划课题(学校发展类)“新文科视域下民办高校课程思政改革成效提升研究”(项目编号:CANFZG24172)。


Digital Intelligence Empowerment and Evaluation-Driven Construction: Effective Pathways for Digital Teaching Evaluation in Application-oriented Undergraduate Institutions
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    摘要:

    近年来,大数据、人工智能、云计算等新兴数智技术迅猛发展,为应用型本科高校教学评价改革带来了历史性机遇。应用型本科高校作为培养实践应用型人才的核心阵地,亟须构建适配其目标的数字化教学评价体系。数智赋能与以评促建的深度融合,不仅是技术应用的过程,更是教育理念、质量文化与制度体系的系统性变革。数智赋能是工具,以评促建是目标,数智赋能通过数据驱动、过程追踪、智能分析与精准反馈为教学评价提供了技术支撑;以评促建则明确了评价的根本目的在于实践教学改进、学习过程优化与人才培养质量提升,两者是一体两面与深度融合的共生关系。本研究设计了7项一级评价指标和21项二级评价指标。研究表明:应从顶层设计、能力培育、资源整合、多元协作和评价考核五个维度着手,健全制度支持机制、完善能力培育机制、搭建资源共享机制、创设价值共创机制、深化以评促教机制,以期形成数智赋能大规模应用型高校教育行动与以评促建同频共振的数字化教学评价生态,以夯实数字化教学评价助力教育强国目标的实现。

    Abstract:

    In recent years, the rapid advancement of emerging digital intelligence technologies such as big data, artificial intelligence, and cloud computing has presented a historic opportunity for reforming teaching evaluation systems at applied undergraduate institutions. As the core position for cultivating practice-oriented professionals, these universities urgently need to construct a digital teaching evaluation system adapted to their objectives. The deep integration of digital intelligence empowerment with evaluation-driven construction represents not merely a process of technological application, but a systemic transformation encompassing educational philosophy, quality culture, and institutional systems. Digital intelligence empowerment serves as the tool, while evaluation-driven construction is the goal. Digital intelligence empowerment provides technical support for teaching evaluation through data-driven approaches, process tracking, intelligent analysis, and precise feedback. Evaluation-driven construction clarifies that the fundamental purpose of evaluation lies in improving practical teaching, optimizing learning processes, and elevating talent cultivation quality. These two elements form a symbiotic relationship, representing two sides of the same coin that are deeply integrated. This study designed seven primary evaluation indicators and 21 secondary evaluation indicators. The study indicates that efforts should focus on five dimensions: top-level design, capacity cultivation, resource integration, multi-party collaboration, and evaluation assessment. This involves improving institutional support mechanisms, perfecting capacity cultivation mechanisms, building resource-sharing mechanisms, creating value co-creation mechanisms, and deepening evaluation-driven teaching mechanisms. The goal is to foster a digital teaching evaluation ecosystem where digital intelligence empowers large-scale application-oriented universities and evaluation-driven construction resonate in harmony, thereby solidifying digital teaching evaluation to support the realization of the goal of building a powerful education country.

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董帅.数智赋能与以评促建:应用型本科高校数字化教学评价的有效路径[J].西昌学院学报(社会科学版),2026,38(2):107-118.

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  • 收稿日期:2025-12-24
  • 最后修改日期:2026-02-06
  • 录用日期:2026-03-06
  • 在线发布日期: 2026-04-24