[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2KwibfK1uzuf69M50WLI1oo7AH9xqUI1fXuiJmboesw":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1395,"智能实训离“所学即所用”还有多远","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">轻点屏幕，一叶叶破损的古籍缓缓展开，或虫蛀、或污渍、或霉蚀……戴上VR眼镜，上海市信息管理学校文物保护与修复专业学生钟文杰在虚拟环境中修补孔洞、打眼穿线……修复结束，点开AI作品评价，98分！看着实训成绩，钟文杰脸上笑开了花：“太喜欢这样有趣的课堂了！”\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">这是上海市信息管理学校在虚拟仿真实训平台上开展“古籍修复”实训的一幕。教师周慈玉告诉记者，由于古籍，尤其是珍本、善本具有稀缺性和唯一性，学校无法提供大量真实的古籍让学生练习。“学校邀请相关企业参与，对古籍资料进行云采集，并开发了虚拟仿真实训平台，推出以连口、折叶、包书角等古籍修复关键技术环节为核心的专项实训模块，为学生提升实操技能开辟了新途径。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“经过不断完善，这门课程获评国家在线精品课程。”更令该校校长唐纪瑛高兴的是，学生实操技能长进明显。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“随着科技飞速发展，AI技术正深刻改变职教实训的形态和内涵，从‘辅助工具’向‘核心场景’深刻演进。”教育部职业教育发展中心副研究员汤霓表示，用好AI等新兴技术，对于职业教育高质量发展，尤其是学生技术技能提升至关重要。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">AI与职教实训深度融合会擦出怎样的火花？当行业热潮涌动，我们尤需冷静思考——如何才能突破发展瓶颈，让智能实训真正落地生根、开花结果。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">AI正在重塑职教实训生态\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在浙江机电职业技术大学智能制造实训基地，学生陈宇杰正在进行工业机器人系统集成调试实训。他站在智能生产线前，眼神专注，手中操作的平板电脑，连接着一套AI辅助教学系统。屏幕上，实时数据与虚拟模型相互交织，精准指导着他的每一步操作。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“在一次智能仓储系统调试任务中，我们遇到了货物分拣效率低的问题。借助AI系统的优化建议，小组重新规划了机器人行动路径，大幅提升了分拣效率。”陈宇杰兴奋地展示实训成果，“AI就像一位无所不能的导师，不仅教会我如何操作设备，更让我学会用智能思维解决生产难题。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">该校实训指导老师尤光辉介绍，AI赋能的实训模式，正重塑职业教育智能制造人才培养路径，为学生开启通往未来工业世界的大门。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">采访中，“重塑”这一关键词，被多位专家反复提及。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“AI已应用于职教的知识学习、技能模拟、实训教学与智能评估等方面，逐步重塑了实训生态。”西南大学教育学部部长朱德全说，“AI通过实时抓取企业工单、设备数据等，构建鲜活的知识图谱，让学生接触的是‘此刻正在发生’的产业知识。同时，AI虚拟仿真平台可以提供逼真操作环境，让高成本场景‘可计算化’，并且可通过肌电传感器等技术实现技能操作‘零失误’。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“实训虚拟化，让高危实训‘零风险可及’。”汤霓表示，当前，AI驱动的数字孪生技术正重塑场景边界。例如，在高端数控、航空维修等高成本、高风险领域，学生可在“数字孪生”环境中，进行不限次数、零损耗、零风险的操作练习。AI不仅是场景构建者，更是智能“陪练”，既提升了安全系数、设备利用率与学生技能熟练度，也显著降低了实训设备损耗成本。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">更重要的是，AI让因材施教成为现实。汤霓解释道：“AI正让‘统一进度、统一内容’的工业化实训模式成为历史。基于深度学习算法，系统能为学生定制专属的‘技能进阶地图’。这种因材施教的模式，面向学习效率高的学生能自动解锁高阶任务和创新项目，针对基础薄弱的学生则智能分解技能点、提供渐进式训练方案。该模式可以打破传统实训‘齐步走’的局限，极大提升学习效率和学生自信心。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“一方面，AI技术赋能教师成长，可以通过即时教学辅助精准分析学生操作数据，从而优化教学策略；另一方面，依托AI智能评估系统对学生技能水平进行多维评价，并给予个性化反馈，促成其靶向性提升。”朱德全透露，“据相关研究，当前AI技术在实训中具有三方面突出成效：一是大幅缩短实训用时，效率可提升50%左右；二是实训效果提升显著，关键指标达标率提升至90%以上；三是人均实训成本显著下降45%至80%不等。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">实现重塑还需跨越多道坎\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">AI赋能职教实训，其价值不仅限于教育教学范畴，更延伸至产教融合领域。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在广东科学技术职业学院金辉工业设计产学研基地，3D打印机的“丝丝”运转声不绝于耳。人工智能专业学生郑温欣团队正为企业定制的智能台灯设计样品。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“产品设计的传统流程繁复，从设计到原型验证最少需要两周。现在借助大模型设计，时间缩短到仅用几个小时就可以完成。”指导教师孙巍介绍，团队训练了一个工业设计垂类大模型“知行大先生”，还设计了一个能与客户交流并分析需求的“咨询设计师”智能体。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">郑温欣对着麦克风说完设计需求，十多套方案便跃然屏上，选定后，完美卡合的样品很快打印完成。“前几天，企业代表来看产品生产流程，当他们拿到这个样品时都惊呼速度之快，原先需要15天的活，我们48小时就能交付。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“如今的实训室内，废弃原型件堆成的小山不见了，AI调用企业三年数据，两小时出二十组方案；当客户提出‘要像星空’，带星轨纹路的灯罩模型便在屏幕显现，连材质更换的适配参数也可自动算好。”孙巍告诉记者，在今年8月举办的中国大学生计算机设计大赛上，郑温欣团队获得了全国一等奖。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">成效显著，前景可期，但朱德全仍审慎表示，AI重塑职教实训的“理想”真正照进现实，还需跨越多重关卡。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“AI在职教实训中的运用仍处探索初期，智能实训的稳定性与精准性均有所欠缺。某种程度上，当前应用只是‘形式AI’阶段，还未达到理想水平。”朱德全说，实现大规模AI实训，需要强大的算力与资源支持，而当前多数职业院校在此方面投入不足，致使实训效果受限。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">汤霓发现，许多实训教师是技能大师，但对AI技术的理解和应用能力有限。他们有的因担心被取代而抗拒新技术，有的则简单将其视为效率工具而未能深入探索它在重塑教学模式上的潜力。他还指出，有部分学生过度依赖AI去完成任务，仅满足于“知其然”，致使其实操能力与批判性思维显著弱化。同时，技术瓶颈还体现在AI系统与真实场景还差“最后一公里”的难题。“AI的强大在于处理标准化、高重复任务，但这可能与真实场景的复杂性、不确定性形成冲突。如AI可高效传授标准化的电路维修规程，但在面对因设备老化、环境特殊引发的非标故障时，其指导能力便大打折扣。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">从顶层设计到微观生态全面优化\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">未来，要让AI更好赋能职教实训，各方该如何发力？\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“要跳出工具论局限，采取一套系统组合拳，从顶层设计到微观生态进行全面优化。”汤霓建议构建“教学法先行”的整合框架，“先问教、再问技。”他指出，教育部门和学校应首先明确，在数智时代，我们需要培养学生哪些核心能力（如人机协作、数据分析、批判性思维等）。基于此，再反向设计AI课程体系、教学流程和评价标准。应鼓励教师进行“教学法创新”，将智能实训定位为一种探索式、项目式学习的载体，而非单纯的技能复刻工具。同时，应共建“产业级”数据与模型标准。政行企校多方可协同成立区域性或行业性AI实训数据联盟，制定数据采集和标注标准，共建共享高质量行业数据集。鼓励企业将真实生产数据和AI基本模型脱敏后向院校开放，让学生能接触到“产业真炮弹”，而非“教学玩具枪”，真正实现“所学即所用”。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“加强AI技术研发与优化，提升其在实训中的稳定性和精准性。”朱德全表示，职业院校可成立AI技术研发团队，针对实训特点进行定制化开发。同时，推动AI技术与实训课程、产业发展的深度融合，确保技术应用的实用性与有效性。针对AI实训，要进一步优化流程、丰富课程体系、规范标准，从而提升实训效果。具体而言，需制定翔实的AI实训教学大纲，明确实训目标、内容和方法；开发多样化的AI实训课程模块，涵盖不同专业需求；建立AI实训质量评估体系，定期监测和反馈教学效果，确保实训质量持续提升。朱德全强调：“要加强‘AI+专业’双师型教师培养，提升教师AI技术与实训教学的双重能力。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">同济大学职业技术教育学院教育经济与管理研究所所长李俊提出：“应进一步完善AI实训准入机制及伦理规范监管体系，确保设备和技术的适用性与规范性。可通过财政投入和社会资本等多渠道融资，设立专项资金支持AI系统在实训中的探索及应用，保障对AI实训的可持续性支持。同时明确隐私保护和数据安全标准，建立健全伦理规范，为实训安全保驾护航。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】光明日报 记者 晋浩天\u003C\u002Fspan>\u003Cstrong style=\"color: rgb(187, 187, 187);\"> \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fnews.cctv.com\u002F2025\u002F09\u002F16\u002FARTIPyGGx1MrL72s9AFCxONn250916.shtml?spm=C94212.P2Zgu9C2lQBU.Ed17TGfD2TkB.209\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.cctv.com\u002F2025\u002F09\u002F16\u002FARTIPyGGx1MrL72s9AFCxONn250916.shtml?spm=C94212.P2Zgu9C2lQBU.Ed17TGfD2TkB.209\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002F8a5d06f456b544dc84e50bc2c73421fc\u002F教育生态.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002Fthumbs\u002F8a5d06f456b544dc84e50bc2c73421fc\u002F教育生态.jpg",0,1,49,"2025-09-25 18:14",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A7e5487dd-e9c4-4191-be4d-76ca09045233%3A0.wav?Expires=1758801388&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=s7gHmDguLXNTCP23951z9Dtf3dg%3D",17787226,"7e5487dd-e9c4-4191-be4d-76ca09045233","2025-09-25 18:10","How far is smart training from \"learning what you can use\"?","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Tap the screen lightly, and damaged ancient books gradually unfold one by one, whether worm-eaten, stained, or moldy... Wearing VR glasses, Zhong Wenjie, a student majoring in cultural heritage protection and restoration at Shanghai Information Management School, repairs holes and threads in a virtual environment... After the restoration, open the AI work evaluation, and get 98 points! Looking at the training results, Zhong Wenjie's face lit up with joy: \"I really like such an interesting classroom!\"\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">This is a scene of \"ancient book restoration\" training conducted by Shanghai Information Management School on a virtual simulation platform. Teacher Zhou Ciyu told reporters that due to the scarcity and uniqueness of ancient books, especially rare and valuable editions, the school cannot provide a large number of real ancient books for students to practice. \"The school invited relevant enterprises to participate, collect ancient book data in the cloud, and develop a virtual simulation training platform, launching specialized training modules centered on key technical links in ancient book restoration such as connecting pages, folding leaves, and wrapping book corners, providing students with new ways to improve their practical skills.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"After continuous improvements, this course has been rated as a national online quality course.\" More importantly, Principal Tang Jiying of the school is happy to see that students' practical skills have significantly improved.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"With the rapid development of technology, AI is profoundly changing the form and connotation of vocational training, evolving deeply from 'auxiliary tools' to 'core scenarios.'\" Assistant researcher Tang Ni from the Center for Vocational Education Development of the Ministry of Education said that using emerging technologies like AI is crucial for high-quality development of vocational education, especially for enhancing students' technical and skill levels.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">What sparks will emerge from the deep integration of AI and vocational training? When industry trends are surging, we need to think calmly—how can we break through development bottlenecks and make intelligent training truly take root and bear fruit?\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">AI is reshaping the ecosystem of vocational training\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">At the intelligent manufacturing training base of Zhejiang Institute of Mechanical and Electrical Technology, student Chen Yujie is undergoing industrial robot system integration debugging training. He stands in front of the smart production line, focused, and operates a tablet connected to an AI-assisted teaching system. On the screen, real-time data and virtual models intersect, precisely guiding each of his operations.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"In one intelligent warehousing system debugging task, we encountered a problem with low cargo sorting efficiency. With the optimization suggestions from the AI system, our group re-planned the robot's movement path, significantly improving sorting efficiency,\" Chen Yujie excitedly demonstrated the training results, \"AI is like an all-powerful tutor, not only teaching me how to operate the equipment but also helping me learn to solve production problems with smart thinking.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Teacher You Guanghui of the school introduced that the AI-enriched training model is reshaping the talent cultivation path of vocational education in intelligent manufacturing, opening the door for students to enter the future industrial world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">During the interview, the keyword \"reform\" was repeatedly mentioned by multiple experts.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"AI has been applied in knowledge learning, skill simulation, training instruction, and intelligent assessment in vocational education, gradually reforming the training ecosystem,\" said Zhu Dequan, head of the School of Education at Southwest University. \"AI can build vivid knowledge maps by capturing enterprise orders and equipment data in real time, allowing students to engage with 'current' industry knowledge. At the same time, AI virtual simulation platforms can provide realistic operational environments, making high-cost scenarios 'computable,' and achieving 'zero-mistake' skill operations through technologies such as electromyography sensors.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"Virtual training makes high-risk training 'risk-free and accessible.' \"Tang Ni said that currently, AI-driven digital twin technology is reshaping the boundaries of scenarios. For example, in high-cost and high-risk fields such as high-end CNC and aircraft maintenance, students can perform unlimited, lossless, and risk-free operation exercises in the 'digital twin' environment. AI is not only a scenario builder but also an intelligent 'training partner,' which enhances safety, equipment utilization, and student skill proficiency while significantly reducing training equipment wear costs.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">More importantly, AI makes personalized teaching possible. Tang Ni explained, \"AI is making the industrialized training model of 'uniform progress and content' a thing of the past. Based on deep learning algorithms, the system can create customized 'skill advancement maps' for students. This personalized teaching model can automatically unlock advanced tasks and innovation projects for students with high learning efficiency, while intelligently breaking down skill points and providing progressive training plans for students with weak foundations. This model can break the limitations of traditional training where everyone moves forward together, greatly improving learning efficiency and student confidence.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"On one hand, AI technology empowers teacher growth, enabling precise analysis of student operation data to optimize teaching strategies; on the other hand, relying on AI intelligent assessment systems to evaluate students' skill levels comprehensively and provide personalized feedback, promoting targeted improvement,\" Zhu Dequan revealed. \"According to relevant research, AI technology currently has three significant achievements in training: first, it significantly shortens the training time, with efficiency increasing by about 50%; second, the training effect improves significantly, with key indicator compliance rates rising to over 90%; third, per capita training costs decrease by 45% to 80%.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">Achieving transformation requires overcoming multiple obstacles\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The value of AI-powered vocational training extends beyond the field of education, reaching into the area of industry-academia integration.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">At the Jinhui Industrial Design Research and Production Base of Guangdong Science and Technology Vocational College, the sound of 3D printers operating continuously fills the air. The team of Zheng Wenxin, a student majoring in artificial intelligence, is designing samples for a custom smart lamp for a company.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"The traditional product design process is complicated, requiring at least two weeks from design to prototype verification. Now, with the help of large models, the time is shortened to just a few hours,\" said instructor Sun Wei. The team trained an industrial design vertical large model called \"Zhixing Da Shengren\" and designed an \"information designer\" intelligent agent that can communicate with clients and analyze their needs.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">After Zheng Wenxin spoke into the microphone, more than ten sets of solutions appeared on the screen. After selection, the perfectly matched sample was quickly printed out. \"A few days ago, the enterprise representative came to see the product production process. When they got this sample, they were amazed at the speed. Previously, it would take 15 days, but we can now deliver within 48 hours.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"Now, in the training room, the small mountain of discarded prototypes is gone. AI uses enterprise data from the past three years and produces twenty sets of solutions in two hours. When the client says, 'It should look like the stars,' a lampshade model with star trails appears on the screen, and even the suitable parameters for material changes can be calculated automatically,\" Sun Wei told reporters. At the China Undergraduate Computer Design Competition held in August this year, Zheng Wenxin's team won the national first prize.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The results are significant, and the prospects are promising, but Zhu Dequan remains cautious. He said that for the \"ideal\" of AI reshaping vocational training to truly become reality, multiple hurdles still need to be overcome.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"The application of AI in vocational training is still in the exploratory phase, and the stability and accuracy of intelligent training are still lacking. In a way, the current applications are only in the 'formal AI' stage and have not yet reached the ideal level,\" Zhu Dequan said. To achieve large-scale AI training, strong computing power and resource support are needed. However, most vocational colleges currently lack sufficient investment in this area, limiting the training effects.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Tang Ni found that many training teachers are skilled masters but have limited understanding and application abilities regarding AI technology. Some are resistant to new technologies out of fear of being replaced, while others simply regard them as efficiency tools without delving into their potential in reshaping teaching models. He also pointed out that some students overly rely on AI to complete tasks, merely satisfying themselves with \"knowing the result,\" leading to a significant weakening of their practical skills and critical thinking. Additionally, technical bottlenecks are evident in the final mile between AI systems and real-world scenarios. \"AI excels at handling standardized, repetitive tasks, but this may conflict with the complexity and uncertainty of real-world scenarios. For example, AI can efficiently teach standardized circuit repair procedures, but when facing non-standard faults caused by aging equipment or special environments, its guidance capabilities significantly diminish.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\" class=\"ql-lineHeight-1-75\">Comprehensive Optimization from Top-level Design to Microscopic Ecosystem\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In the future, how should all parties work together to better empower vocational training with AI?\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"We need to go beyond the limitations of the tool theory and adopt a systematic approach to comprehensively optimize from top-level design to microscopic ecosystems,\" Tang Ni suggested building an integrated framework of \"teaching methods first,\" saying, \"First ask about teaching, then about techniques.\" He pointed out that the education department and schools should first clarify, in the digital age, which core competencies we need to cultivate in students (such as human-machine collaboration, data analysis, critical thinking, etc.). Based on this, they should reverse-design AI course systems, teaching processes, and evaluation standards. It is necessary to encourage teachers to innovate in teaching methods, positioning intelligent training as a carrier of exploratory and project-based learning rather than a mere tool for replicating skills. At the same time, it is necessary to jointly establish \"industry-level\" data and model standards. Governments, industries, enterprises, and schools can collaborate to form regional or industry-specific AI training data alliances, developing data collection and annotation standards, jointly building and sharing high-quality industry datasets. Encourage companies to open up real production data and basic AI models after de-identification to schools, so that students can access \"real industry bullets\" instead of \"educational toy guns,\" truly achieving \"learning what you can use.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"Strengthen AI technology R&D and optimization to enhance the stability and accuracy of AI in training,\" Zhu Dequan said. Vocational colleges can establish AI technology R&D teams to conduct customized development according to the characteristics of training. At the same time, promote the deep integration of AI technology with training courses and industrial development to ensure the practicality and effectiveness of technological applications. Regarding AI training, further optimize processes, enrich the curriculum system, and standardize norms to improve training effectiveness. Specifically, it is necessary to formulate detailed AI training teaching outlines, clearly defining training objectives, content, and methods; develop diverse AI training course modules covering different professional needs; establish an AI training quality evaluation system, regularly monitoring and feeding back teaching effectiveness to ensure continuous improvement of training quality. Zhu Dequan emphasized: \"We need to strengthen the training of double-qualified teachers who combine AI technology and practical training teaching abilities.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Li Jun, director of the Institute of Educational Economics and Management at the School of Vocational and Technical Education of Tongji University, proposed: \"We should further improve the AI training access mechanism and ethical regulatory system to ensure the applicability and standardization of equipment and technology. Through multi-channel financing such as fiscal investment and social capital, establish special funds to support the exploration and application of AI systems in training, ensuring sustainable support for AI training. At the same time, clarify privacy protection and data security standards, and establish a sound ethical regulatory system to protect the safety of training.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source] Guangming Daily Reporter Jin Haotian\u003C\u002Fspan>\u003Cstrong style=\"color: rgb(187, 187, 187);\"> \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fnews.cctv.com\u002F2025\u002F09\u002F16\u002FARTIPyGGx1MrL72s9AFCxONn250916.shtml?spm=C94212.P2Zgu9C2lQBU.Ed17TGfD2TkB.209\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.cctv.com\u002F2025\u002F09\u002F16\u002FARTIPyGGx1MrL72s9AFCxONn250916.shtml?spm=C94212.P2Zgu9C2lQBU.Ed17TGfD2TkB.209\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is forwarded by this website to provide readers with more information and news. The content does not constitute investment or consumption advice. If there are any questions about the facts in the article, please verify with the relevant parties. The views expressed in the article are not the views of this website and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A74e7deb9-5f69-459e-805e-d1fa98ff39bc%3A0.wav?Expires=1774838464&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=qp%2B09F9PhirU%2BtMTA5fBYsuJgWU%3D","74e7deb9-5f69-459e-805e-d1fa98ff39bc",17319448]