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矿物加工工程专业英语课程的教学思考

Teaching Reflections on the Course of English for Mineral Processing Engineering

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【作者】 漆静; 唐敏; 封东霞; 毛玉强;

【Author】 Qi Jing;Tang Min;Feng Dongxia;Mao Yuqiang;Faculty of Land Resources Engineering,Kunming University of Science and Technology;

【机构】 昆明理工大学国土资源工程学院;

【摘要】 在人工智能技术深度赋能教育创新的时代背景下,矿物加工工程专业英语课程正迎来教学理念与技术应用范式的重要转型。为深入贯彻落实习近平新时代中国特色社会主义思想,服务国家文化软实力提升战略,培养具有国际视野、能讲好中国矿业故事的新时代工程人才,推进矿物加工专业英语课程的系统性改革具有重要意义。本研究聚焦AI技术赋能视角,探索矿物加工专业英语教学改革的创新路径,旨在构建符合学生认知规律和社会发展需求的新型教学体系。通过系统优化课程内容设计、创新智能化教学模式、完善多元评价机制等维度,着力打造“专业英语+矿业特色”的课程体系,运用智能语音识别、学习行为分析等AI技术突破传统“哑巴英语”的教学瓶颈,建立形成性与终结性评价相融合的动态评估机制,全面提升我国专业人才的国际竞争力。

【Abstract】 Amidst the deep integration of artificial intelligence(AI) in educational innovation, the Technical English for Mineral Processing Engineering course is undergoing transformative shifts in pedagogical concepts and technological applications. To implement Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, support national strategies for enhancing cultural soft power, cultivate engineering talents with global perspectives capable of conveying China’s mining achievements internationally, and advance systematic reform of this course are of paramount significance. Through AI-enabled innovation, this study proposes a tripartite reform model: Curriculum Reconstruction – Developing an industry-aligned syllabus that synergizes linguistic competence with mining-specific knowledge; Pedagogical Innovation – Deploying AI tools(e.g., neural machine translation, adaptive learning systems) to transcend conventional "decontextualized English" instruction; Assessment Revolution – Implementing a hybrid evaluation matrix integrating process-oriented and outcome-based metrics. The proposed key measures include: Systematically optimizing curriculum design to integrate professional English with mining industry features; Innovating intelligent teaching modes using AI technologies(e.g., speech recognition, learning behavior analytics) to overcome limitations of traditional "dumb English" instruction; Establishing a dynamic evaluation mechanism combining formative and summative assessments. These reforms will holistically enhance the international competitiveness of China’s specialized talents.

【关键词】 矿物加工; 专业英语; AI赋能;
【Key words】 mineral processing; professional english; AI-Empowered;
【基金】 云南省科技厅双一流创建联合专项重点项目(项目编号:202401BE070001-015)
  • 【文献出处】 中国多媒体与网络教学学报(上旬刊) ,China Journal of Multimedia & Network Teaching , 编辑部邮箱 ,2026年02期
  • 【分类号】H319.3;TD92-4
  • 【下载频次】3
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