基于数智化教学平台的装备类智慧课程探索与实践

Exploration and Practice of Smart Courses for Equipment Majors Based on Digital-Intelligent Teaching Platforms

摘要: 教育数字化战略行动深入推进，人工智能与教育教学的融合正从“应用叠加”走向“系统重塑”。装备类课程具有“重实操、强规范、高风险、难复现”的特点，传统教学在实训资源、个性支持与过程评价方面存在明显瓶颈。本文以装备类课程为对象，提出一种基于数智化教学平台的智慧课程建设路径：在“以学生发展为中心”理念下，构建涵盖目标、资源、活动、评价、环境五重要素的智慧课程体系，并依托智慧教学、智慧学习、实训管理、全方位考试、多元评价五大子系统提供技术支撑。实践表明，该模式推动教学范式由“经验驱动”转向“数据驱动”，在保障实训安全与效率、提升学习参与度、实现全过程多元评价等方面具有显著价值，为同类课程的数智化转型提供了可借鉴的方案。

Abstract: With the deepening of the national education digitalization strategy, the integration of artificial intelligence and teaching is shifting from “additive application” to “systemic reconfiguration”. Equipment-related courses are characterized by heavy hands-on training, strict standardization, high operational risk, and low reproducibility, which exposes clear bottlenecks in traditional teaching regarding practical resources, personalized support, and process evaluation. Targeting equipment-type courses, this paper proposes a smart-course construction path based on a digital-intelligent teaching software platform. Guided by the student-development-centered philosophy, the course system integrates five key elements—objective, resource, activity, evaluation, and environment—and is technically supported by five subsystems: smart teaching, smart learning, training management, omnidirectional examination, and multi-dimensional evaluation. Practice shows that this model shifts the teaching paradigm from “experience-driven” to “data-driven”, and delivers significant value in ensuring training safety and efficiency, improving learning engagement, and enabling whole-process multi-dimensional evaluation, thus providing a reusable solution for the digital-intelligent transformation of similar courses.