[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ffC2K94233yUia1P9aXydTVxyabFE-SNOmyeG-Fa2wqQ":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},1532,"人工智能赋能通识教育：探索跨学科“AI+X”培养模式","\u003Cp class=\"ql-align-justify\">\u003Cstrong style=\"color: rgb(255, 153, 0); font-size: 18px;\">面对人工智能技术飞速发展以及“四新”全面发展的时代趋势，地方高校作为主要的人才培养基地应当顺应国家需要调整发展战略，应主动寻求“AI+”复合型人才的培养道路，而通识教育为学生接触多学科知识提供了可能，是地方高校专业教育的基础和辅助。因此，地方高校要充分发挥人工智能的积极赋能作用，更好地服务于通识教育课程体系的建立，从而为我国高能教育更快速地发展提供有力支持。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">人工智能赋能通识课程体系，响应了教育部《人工智能+行动》《关于加快推进教育数字化的意见》中“建设‘通用+特色’高校人工智能通识课程”的要求，是落实教育数字化转型、推动高等教育改革的具体实践，为地方高校服务国家创新驱动发展战略提供课程落地路径。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">人工智能赋能通识课程体系能够扩大学生非专业领域了解的广度，拓展新的学习点和最新的专业及产业动态。本文通过对内蒙古自治区本科教育教学改革项目项目（JGYB2026107）阶段性成果研究发现，站在学生的角度“AI+”教育有利于帮助提高学生的AI能力，以便激发学生学习AI的兴趣。系统化的通用教育内容也可以帮助学生对AI基础理论、AI算法及实际应用进行系统学习，理解AI如何运用到自己的专业知识学习、科学研究、专业工作中，这也有助于学生在今后做选择、做深学习时做准备。从教师和教师群体角度看，有助于消除专业间的壁垒，搭建了多专业的互动交流协作平台，推动他们做好在建构课程时结合自己的研究领域寻找“AI+”的节点、焦点问题、痛点、切入点从而激发他们做科学研究兴趣与灵感，使得他们讲授课程时更有生机活力及创造力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">地方高校的办学思想已经由用以解决问题的模式，开始转化为运用高科技智能化的手段解决问题。AI赋能通识教育的主要应用技术手段为基于项目实际操作性训练，比如通过组建“需求调研－方案设计－实施管理”全过程实践学习环境，可以更好地为学生提供实践实训场所，让学生获取更多实践实战经验。同时，在AI通识教育的应用下，可以推进高校教育现代化进程，进一步推动高校教育变革。一方面，它提供学生们新的思考视角和新的工具箱，摆脱传统束缚，用新技术的方法解决新问题。另一方面，“AI+”教育思想渗透在对人工智能基本概念的学习实践中，对实践教育的多维度定义重新进行了解构并建设了一个智能化、真伪混合的实训训练场域，用以激发学生的创新想象力，帮助他们在想象和创造的世界里畅想、恣意挥洒。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">作为信息技术领域的领跑者和先进生产方式的标志，人工智能教育的潜能和影响力是否得到了充分发挥已成为中国能否实现教育现代化的关键环节，学生数字化适应力也被逐步视为影响全球竞争的软实力。因此，如何全方位提升学生的数字化适应力成为地方高校人工智能通识教育的基石。一方面，高校教师要积极引导学生申报“人工智能+X”的交叉学科创新创业项目，倡导不同学科领域的教师主动交流和合作，在学生课程教学过程进行跨学科研究工作。另一方面，在各专业的教学中，教师积极转变评价方式，从单一学业成绩评价体系转而进行过程性评价，且将课堂活动方式融入新的表现、竞赛活动等引导学生学习兴趣。最后，高校要引进更多的高新信息化科学技术，改变过去的止于理论研究但没有实践的现状，最大限度地激发学生的创造力和想象力，从而将他们的信息素养能力予以真正锻炼。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">按照“通--专--融”的课程结构和不同的特点，地方高校应该启动由教师精心设计与发布的适合人工智能通识教育的一系列精品教材。对于“通”的课程，主要是开设给低年级学生的初级通识课，可以出版一批新通识类教材。这批教材应该围绕人工智能概念、发展进程、普遍应用场景、基本知识与方法，以生动的案例、浅显的语言帮助学生建立关于人工智能的初步认识，激发学生学习人工智能的兴趣。比如，从技术层面教材对应的就是“专”的课程，侧重知识体系完整和效果突出，不仅深入阐释了技术和理论，还要匹配较多实践案例与操作步骤，给出了实验室手册以及其他资料，帮助学生更深入理解与掌握人工智能的关键技能、提高动手能力。而针对应用类教材则对应的是“融”的课程，针对高年级学生，应用教材将由多个学科层面设计，用于跨课程教学。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">理论重构：开设《人工智能导论》《人工智能与未来社会》等通识课程，重塑学生的知识观与未来观。同时通过技术赋能，建设“基础层-AI工具科普”“融合层-AI+专业场景”“应用层-跨学科AI项目实践”的三级递进模块。基础层聚焦“AI认知+创新工具”，用低门槛工具辅助学习，如《中国历史》课程中，指导学生运用AI知识图谱工具梳理“唐宋政治制度演变”脉络，生成时间轴与关系图，以降低知识记忆难度，提高学习效率。融合层侧重“AI+专业场景”，在于“赋能”与“交叉”，将AI作为增强本专业问题解决能力的倍增器。如：文学院学生利用AI进行诗词仿写、故事接龙，探讨人机协同创作的新范式；经管学生利用AI数据工具对内蒙古特色产业数据进行抓取、清洗，形成行业报告。应用层开展“跨学科AI实践项目”，强化知识整合与创新能力。设计“AI+民族文化”跨学科项目，美术与历史专业的学生合作，利用AI图像生成技术，根据文献描述生成蒙古族传统纹样、服饰设计图等。加强伦理思辨，将AI伦理、算法公平、数据隐私等内容嵌入各模块，培养负责任的创新意识。加强学科融合：重点设计跨学科项目，打破学科壁垒。如“AI+文学+数据科学”“AI+历史+计算机”等。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">教学-师资-实践协同实施路径探索，一方面，要加强教学模式创新，在试点课程中针对学生AI基础差异，个性化学习需求，综合运用项目式学习与案例教学法，确保不同层次学生获得成长体验、综合应用能力的普遍提升。同时，要加强师资队伍建设，组建2个跨学科虚拟教研室，实施“AI技能工作坊教学案例共创-课程联合开发”的实战化教师成长路径，每个月进行一次线上教学研讨，同步记录教研成果。另一方面，要加强实践链条搭建，积极构建“学-训-赛-研”实践体系，依托校园实验室与地方企业资源，将项目成果与挑战杯、互联网+等竞赛衔接。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">建立多元评价与成效验证，一是评价体系的构建，建立以“知识+能力+素养”为中心的多元化课程考核体系，并通过前后测对比、学生作品分析、深度访谈等方式，科学验证改革成效。二是要加强改革模式推广，通过纵向追踪和结构方程模型，评估改革对学生素养、能力及职业发展的影响，最终形成可复制的人工智能赋能通识课程改革推广模式。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">积极营造浓厚的人工智能创新文化氛围，地方高校应定期组织举办人工智能的讲座、研究成果汇报会、科技论坛和创新成果展，并邀请工商界、学界、学术界人士讲述最新技术发展，拓宽学生的视野，点燃学生的创新热情。同时，地方高校可以设立AI创意空间，向学生提供人工智能相关的硬件、场地支持，搭建开放创新的校园。同时，地方高校要建立正面激励制度，将人工智能基础课开展教育研究的成果反映在教师考核与晋升制度中。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">“四新”建设背景下加强地方高校人工智能赋能通识课程体系建设是促进高校教育发展的必然选择，地方高校要持续跟进行业发展新态势并不断优化其专业设置与教学内容、深度加码并实施混合式教学模式，从而能够造就人工智能相关领域强劲实践能力及创新意识的专业人才，进而构建开放多元的培养平台，助推我国地方高校通识课程更好更快发展。\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>\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>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(136, 136, 136);\">【新闻来源】光明网 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fbaijiahao.baidu.com\u002Fs?id=1851842243004418758&wfr=spider&for=pc\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\"> https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RTDQy?ocid=BingHp01&cvid=6936317f054647a2afcd53fafcde084a&ei\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(136, 136, 136);\">（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\u002F12\u002Fbe85a432a0ea42fab0107e900db65546\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F12\u002Fthumbs\u002Fbe85a432a0ea42fab0107e900db65546\u002FAI领域.jpg",0,1,59,"2025-12-23 09:37",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%3A10634308-834b-4a31-b7d1-53d4fa99bf79%3A0.wav?Expires=1766458991&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=64g%2Fy0YLtZXHev7ezOOMyzsqsrM%3D",15567502,"10634308-834b-4a31-b7d1-53d4fa99bf79","2025-12-23 09:31","Artificial Intelligence Empowering General Education: Exploring the \"AI+X\" Interdisciplinary Cultivation Model","\u003Cp class=\"ql-align-justify\">\u003Cstrong style=\"color: rgb(255, 153, 0); font-size: 18px;\">In the era of rapid development of artificial intelligence technology and the comprehensive development of the \"four new\" trends, local universities, as the main talent training base, should adapt to national needs and adjust their development strategies. They should actively seek the cultivation path of \"AI+\" compound talents. General education provides students with the possibility to access multidisciplinary knowledge, serving as the foundation and support for professional education in local universities. Therefore, local universities should give full play to the positive empowerment role of artificial intelligence to better serve the establishment of the general education curriculum system, thus providing strong support for the faster development of China's high-quality education.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Artificial intelligence empowering the general education curriculum system responds to the requirements of the Ministry of Education's \"AI Action\" and the \"Opinions on Accelerating the Digitalization of Education\" to \"build a 'general + characteristic' university AI general education curriculum.\" It is a specific practice of implementing the digital transformation of education and promoting the reform of higher education, providing a course implementation path for local universities to serve the national innovation-driven development strategy.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">The artificial intelligence empowering general education curriculum system can expand the breadth of students' understanding of non-major fields and open up new learning points and the latest professional and industrial dynamics. This article finds through the study of the阶段性 results of the Inner Mongolia Autonomous Region undergraduate teaching and educational reform project (JGYB2026107) that from the student's perspective, \"AI+\" education helps improve students' AI capabilities and stimulates their interest in learning AI. Systematic general education content can also help students systematically learn about AI basic theories, AI algorithms, and practical applications, understand how AI is applied to their professional studies, scientific research, and professional work, which also helps students prepare for future choices and deep learning. From the perspective of teachers and teacher groups, it helps eliminate barriers between disciplines, build an interactive communication and collaboration platform among multiple disciplines, and promote them to find \"AI+\" nodes, focal issues, pain points, and entry points when constructing courses, thus stimulating their interest and inspiration in scientific research, making their course lectures more vibrant and creative.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">The concept of running local universities has begun to shift from problem-solving models to problem-solving methods using high-tech and intelligent means. The main technical means of AI empowering general education are project-based practical training. For example, by establishing a comprehensive practical learning environment of \"needs research - solution design - implementation management,\" it can better provide students with practical training places, allowing them to gain more practical experience. At the same time, under the application of AI general education, it can promote the modernization process of higher education and further drive the reform of higher education. On one hand, it provides students with new ways of thinking and new toolboxes, freeing them from traditional constraints and solving new problems with new technologies. On the other hand, the \"AI+\" educational philosophy permeates the learning practices of the basic concepts of artificial intelligence, redefining the multi-dimensional definition of practical education and building an intelligent, mixed reality training field to stimulate students' innovative imagination, helping them to imagine and create freely in the world of imagination and creation.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">As a leader in the information technology field and a symbol of advanced production methods, whether the potential and influence of AI education have been fully utilized has become a key link in whether China can achieve educational modernization. Students' digital adaptability is gradually seen as a soft power affecting global competition. Therefore, how to comprehensively enhance students' digital adaptability has become the cornerstone of AI general education in local universities. On one hand, university teachers should actively guide students to apply for cross-disciplinary innovation and entrepreneurship projects of \"AI+X,\" and advocate active exchanges and cooperation among teachers from different disciplines, conducting interdisciplinary research work during the course teaching process. On the other hand, in the teaching of various majors, teachers should actively change the evaluation methods, shifting from a single academic performance evaluation system to a process-oriented evaluation, integrating classroom activities into new performances, competitions, and other activities to guide students' learning interests. Finally, universities should introduce more advanced information technology, change the past situation that only focuses on theoretical research without practice, and maximize the stimulation of students' creativity and imagination, thereby truly exercising their information literacy skills.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">According to the \"general-special-integration\" curriculum structure and different characteristics, local universities should launch a series of high-quality textbooks designed and published by teachers suitable for AI general education. For \"general\" courses, they mainly offer introductory general education courses to freshmen, and a batch of new general education textbooks can be published. These textbooks should revolve around the concepts, development process, common application scenarios, and basic knowledge and methods of artificial intelligence, helping students establish a preliminary understanding of artificial intelligence through vivid cases and simple language, and stimulate their interest in learning artificial intelligence. For example, textbooks at the technical level correspond to \"specialized\" courses, focusing on complete knowledge systems and outstanding effects. Not only do they thoroughly explain technology and theory, but they also match numerous practical cases and operational steps, providing lab manuals and other materials to help students better understand and master key AI skills and improve their hands-on abilities. As for application-oriented textbooks, they correspond to \"integration\" courses, targeting upper-level students. Application textbooks will be designed across multiple disciplines for interdisciplinary teaching.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Theoretical Reconfiguration: Offer general education courses such as \"Introduction to Artificial Intelligence\" and \"Artificial Intelligence and Future Society\" to reshape students' views on knowledge and the future. At the same time, through technological empowerment, build three progressive modules: \"Basic Layer - AI Tool Popularization,\" \"Integration Layer - AI+Professional Scenarios,\" and \"Application Layer - Interdisciplinary AI Project Practice.\" The basic layer focuses on \"AI Awareness + Innovation Tools,\" using low-threshold tools to assist learning. For example, in the \"Chinese History\" course, students are guided to use AI knowledge map tools to sort out the evolution of \"Tang and Song political systems,\" generating timelines and relationship maps, reducing the difficulty of knowledge memorization and improving learning efficiency. The integration layer emphasizes \"AI+Professional Scenarios,\" focusing on \"empowerment\" and \"interdisciplinarity,\" using AI as a multiplier to enhance the ability to solve problems within the major. For instance, literature students use AI to write poetry imitations and story continuation, exploring new paradigms of human-machine collaborative creation; economics and management students use AI data tools to extract and clean data on Inner Mongolia's characteristic industries, forming industry reports. The application layer conducts \"Interdisciplinary AI Practical Projects\" to strengthen knowledge integration and innovation capabilities. Designing \"AI+Ethnic Culture\" interdisciplinary projects, art and history major students collaborate to use AI image generation technology to produce Mongolian traditional patterns and costume design diagrams based on textual descriptions. Strengthen ethical reflection by embedding AI ethics, algorithm fairness, and data privacy into each module, cultivating responsible innovation awareness. Enhance interdisciplinary integration by focusing on designing interdisciplinary projects, breaking down disciplinary barriers. For example, \"AI+Literature+Data Science,\" \"AI+History+Computer.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Exploration of Teaching-Teacher-Practice Collaborative Implementation Pathways: On one hand, we need to strengthen teaching model innovation. In pilot courses, personalized learning needs should be considered based on differences in students' AI foundations, and comprehensive application of project-based learning and case teaching methods should ensure that students of different levels gain growth experiences and generally improve their comprehensive application abilities. At the same time, we need to strengthen the construction of the teaching staff team, establish two interdisciplinary virtual teaching research rooms, implement the practical teacher growth path of \"co-creating AI skill workshop teaching cases - joint course development,\" hold online teaching discussions once a month, and record teaching research results synchronously. On the other hand, we need to strengthen the construction of the practical chain, actively build a \"learning-training-competition-research\" practical system, and connect project results with competitions such as Challenge Cup and Internet Plus by relying on campus laboratories and local enterprise resources.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Establish a diversified evaluation and effectiveness verification system. First, construct an evaluation system centered on \"knowledge + ability + literacy,\" and scientifically verify the effectiveness of the reform through pre-and-post testing, analysis of student works, and in-depth interviews. Second, we need to strengthen the promotion of the reform model. By using longitudinal tracking and structural equation modeling, assess the impact of the reform on students' literacy, abilities, and career development, and finally form a replicable AI-powered general education curriculum reform promotion model.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Actively foster a strong atmosphere of artificial intelligence innovation culture. Local universities should regularly organize lectures on artificial intelligence, research result reports, science and technology forums, and innovation achievement exhibitions, inviting business, academic, and scholarly figures to talk about the latest technological developments, broadening students' horizons and igniting their enthusiasm for innovation. At the same time, local universities can establish AI creative spaces, providing students with hardware and venue support related to artificial intelligence, building an open innovation campus. Meanwhile, local universities should establish a positive incentive system, reflecting the achievements of educational research on the basics of artificial intelligence in the teacher assessment and promotion system.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Strengthening the construction of AI-powered general education curriculum systems under the context of the \"four new\" initiatives is an inevitable choice for promoting the development of higher education. Local universities should continuously follow the new trends in industry development, constantly optimize their professional settings and teaching content, deepen and implement the blended teaching model, thereby cultivating professionals with strong practical abilities and innovation awareness in the field of artificial intelligence, thus building an open and diverse training platform to promote the better and faster development of general education courses in China's local universities.\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>\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>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(136, 136, 136);\">【News Source】Guangming Network \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fbaijiahao.baidu.com\u002Fs?id=1851842243004418758&wfr=spider&for=pc\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\"> https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RTDQy?ocid=BingHp01&cvid=6936317f054647a2afcd53fafcde084a&ei\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(136, 136, 136);\">（This article is forwarded by this site 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 of the article, please verify with the relevant parties. The views of the article are not the views of this site and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A0491c61a-44e0-44b2-b3fd-7724cfbd8b55%3A0.wav?Expires=1774838438&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=qoRnpqdVNX1GfgR0PUExVWoDa%2Bk%3D","0491c61a-44e0-44b2-b3fd-7724cfbd8b55",17391956]