智能教育与教学
Journal of Intelligent Education and Teaching
- Publisher:Eastern Sunshine Publishing House Limited
- ISSN Print:3080-8405(P)
- ISSN Online:3080-8413(O)
- Subject Category:Educational Sciences
- Publication Frequency:Monthly
- Submissions:0
- Views:173
Related
- Exploring Team Leadership in Cross-Border E-Commerce: AI Mentors Empowering Organizational Behavior Smart Courses
- Path Analysis of Empowering Blended Teaching in Universities with Educational Agents
- Research on Party Member File Management under the PDCA Cycle: a Practical Path in Higher Education Based on Smart Education
- Critical Practical Approaches to AI in Undergraduate Fashion Design Pedagogy
- Washback Effect of High-Stakes English Tests on College Oral English Teaching
智能技术赋能的混合式教学模式构建与实践——以《机械制造工艺》课程为例
Construction and Practice of a Hybrid Teaching Model Empowered by Intelligent Technology: a Case Study of the Course “Mechanical Manufacturing Process”
Published: 2026-09-08
Author: 万鹏君 :重庆化工职业学院 重庆; WAN Pengjun :Chongqing Chemical Industry Vocational College, Chongqing;
Chinese Abstract: 数字智能技术全面渗透职业教育教学场景，传统混合式教学存在线上任务挤占学生课余时间、课堂互动流于形式、教学资源可视化程度不足、学情评价单一滞后等现实短板。本研究以高职院校工科《机械制造工艺》课程为实践载体，依托学习通智慧教学平台、生成式AI、3D虚拟仿真、多模态短视频等智能教育工具，构建“数智双线・智能五环”新型混合式教学模式。模式坚持以学生为学习主体，将全部线上自主探究、小组协作、成果展示、多元评价、学情复盘环节统一置于课堂时空内完成，依托智能技术实现资源智能生成、过程数据采集、学情精准诊断、评价自动闭环四大核心功能。教学实践证明，智能教育技术赋能下的新模式可有效消解学生课业负担、提升课堂全员参与深度，将抽象机械工艺知识可视化、具象化，实现因材施教与教学相长，为高职工科专业混合式教学数字化转型提供可复制实施路径。
Abstract: Against the backdrop of the in-depth integration of digital intelligent technologies into vocational education, traditional blended teaching faces prominent shortcomings, such as online tasks occupying students’ spare time, superficial classroom interaction, insufficient visualization of teaching resources, and lagging single-dimensional learning evaluation. Taking the Mechanical Manufacturing Process course for engineering majors in higher vocational colleges as a practical carrier, this paper constructs a novel blended teaching mode named “Intelligent Dual Lines & Five Intelligent Links”, supported by intelligent educational tools including the Superstar Learning Platform, generative AI, 3D virtual simulation, and multimodal short videos. Centering on students’ dominant role in learning, the mode integrates all links—including online independent inquiry, group collaboration, achievement presentation, multi-dimensional evaluation, and learning review—into a classroom closed loop. Intelligent technologies enable four core functions: intelligent generation of teaching resources, whole-process data collection, precise learning-situation diagnosis, and automatic closed-loop evaluation. Teaching practice verifies that this technology-empowered mode effectively reduces students’ academic burden, deepens full-participation classroom interaction, visualize and embody abstract mechanical manufacturing process knowledge, and realizes individualized instruction and mutual advancement in teaching and learning. It provides a replicable implementation path for the digital transformation of blended teaching in engineering majors of higher vocational colleges.
Chinese Keywords: 智能教育技术；混合式教学；生成式AI；高职教育；机械制造工艺
Keywords: intelligent educational technology; blended teaching; generative AI; higher vocational education; mechanical manufacturing technology