Core Viewpoint - Education digitization is a crucial breakthrough for developing new advantages in China's education sector and is recognized as a national strategy since the 19th National Congress of the Communist Party of China [1][2] Policy Level - The Ministry of Education is actively implementing a digital strategy, with vocational schools participating widely to reshape teaching models, curriculum systems, and talent objectives [2] - Education digitization is now a core driver for innovation in vocational education and high-quality talent cultivation, breaking traditional limitations and providing new opportunities for nurturing innovative talents needed in the digital age [2] Theoretical Exploration - The definition and characteristics of innovative talents have evolved, emphasizing digital literacy and cross-disciplinary integration as core traits in the digital era [3] - Education digitization is not merely an extension of educational informatization; it focuses on data-driven restructuring of the educational ecosystem and business transformation [3] Empowerment Mechanism - Education digitization empowers vocational schools through a systematic process involving "data-driven, scenario reconstruction, and ecological collaboration" [4][5] - Data-driven approaches allow for comprehensive collection and analysis of student learning data, enabling personalized learning paths and resource recommendations [4] - Scenario reconstruction through digital technologies creates immersive learning environments that enhance students' problem-solving abilities [4] - Ecological collaboration fosters deep integration between vocational schools and enterprises, creating an open and collaborative educational ecosystem [5] Key Elements and Implementation Path - The core elements for digital transformation in vocational education include infrastructure, teacher capabilities, curriculum ecology, and evaluation systems [6] - The implementation path consists of three phases: - Foundation phase (0-1 year): Focus on building digital infrastructure [7] - Deep integration phase (1-3 years): Innovate teaching models and curriculum systems through digital technology [9] - Ecological reconstruction phase (3-5 years): Establish a digital innovation talent ecosystem through collaboration with industries [10] Challenges and Solutions - Challenges include the digital divide, teacher capability gaps, and outdated evaluation systems [11] - Solutions involve government support for infrastructure, regular teacher training, and reforming evaluation mechanisms to include diverse assessment criteria [12] Future Outlook - The future of vocational education will focus on innovation capabilities, digital literacy, and lifelong learning, adapting to the digital economy [13] - Blended learning will become the norm, with deep integration of technologies like virtual simulation and artificial intelligence [13]

Fundraising Plan - The company plans to raise a total of up to 400,000.00 million yuan through a targeted stock issuance, with the funds allocated to specific projects totaling 432,571.00 million yuan [1] - The funds will be used for the development of the Spark Education Large Model and typical product projects, with an investment total of 112,571.00 million yuan and a planned use of 80,000.00 million yuan from the raised funds [1][2] Project Overview - The Spark Education Large Model project aims to integrate high-quality data resources and expertise in the education sector to enhance the model in line with new educational standards and requirements [1][2] - The project will focus on continuous upgrades and iterations to improve the model's adaptability and effectiveness in educational applications [2][3] Market and Policy Environment - The Chinese government emphasizes the importance of artificial intelligence in education, promoting digital transformation in the education sector through various strategic plans [2][3][9] - Multiple provinces have initiated action plans to integrate AI into education, indicating a strong policy support for the project [3][9] Competitive Advantage - The company has established a leading position in the smart education sector over 21 years, with its products widely adopted in over 50,000 schools [6][10] - The AI Learning Machine has received high user satisfaction ratings and has been recognized as a top product in the high-end learning machine market [7][10] Technological Foundation - The company has a strong R&D team and has achieved significant breakthroughs in AI technologies, maintaining a leading position in various international assessments [11][12] - The Spark Large Model is built on a fully autonomous and controllable foundation, ensuring the safety and ethical standards required for educational applications [13][14] Financial Implications - The fundraising will enhance the company's financial structure, increase total assets and net assets, and reduce financial risk [23] - The funds will support ongoing high R&D investments and accommodate the growing operational scale of the company [22][23]

Core Viewpoint - The implementation of the national education digitalization strategy over the past three years has significantly enhanced the integration of artificial intelligence in education, unlocking new paradigms for teaching and learning [1] Group 1: AI in Education - The "AI Teacher Assistant" in high school mathematics breaks down the knowledge of trigonometric functions into a progressive "problem chain," allowing the system to analyze students' weaknesses and provide targeted practice after each question [2] - The "AI Teacher Assistant" also aids teachers by collecting classroom teaching behaviors and transforming the entire teaching process into "visualized" data, enabling teachers to accurately understand their strengths and weaknesses [3] - Over the past three years, 184 AI education bases have been selected across the country, promoting the construction of teacher teams supported by AI, thus sharing the benefits of digital transformation with more teachers and students [8] Group 2: Digitalization in Basic Education - In Xining, Qinghai, students at Sunshine Primary School can independently learn over 50 specialty courses such as paper-cutting and embroidery after school, achieving a digital transformation in after-school learning [5] - In Shenzhen, second-year middle school students collect brainwave signals using headbands, which are analyzed by AI algorithms to control robotic hands, allowing them to experience the wonders of artificial intelligence [6] - Nanshan District's No. 2 Foreign Language School in Shenzhen has developed six AI-related specialty courses, providing personalized learning platforms for students of different ages and interests, thereby promoting AI education comprehensively [7] Group 3: Integration of AI in Vocational Education - The World Digital Education Conference showcased innovative intersections between vocational education and artificial intelligence, emphasizing the importance of "digital intelligence" skills in cultivating skilled workers for the AI era [10] - Hubei Three Gorges Vocational Technical College has collaborated with relevant enterprises to create a 5G intelligent drone AI disaster warning platform, applied in low-altitude economic scenarios such as agricultural production and forest fire prevention [12] - Guangdong Science and Technology Vocational College has developed a proprietary model for vocational education that optimizes the path for robotic arms on production lines, achieving seamless integration from classroom to production line [12] Group 4: Lifelong Learning and Digital Empowerment - Digitalization in education provides strong support for lifelong learning, enabling learning to occur "anytime and anywhere" [13] - The "Hangxue Tong" platform, developed by Hangzhou Open University, serves as a lifelong learning public service platform for all citizens, integrating various quality learning resources and achieving full-process digital management of learning services [15] - Currently, "Hangxue Tong" has registered 2.3 million users, with over 3,000 community education institutions and more than 130,000 training sessions, serving over 18.93 million citizens [16]

Group 1 - The 2025 Global Smart Education Conference opened in Beijing, focusing on "Human-Machine Collaboration to Foster a New Ecosystem in Education," gathering over 500 domestic and international experts and educators to explore innovative paths for the integration of new technologies in education [1] - The Chinese government emphasizes the importance of digital education as a strategic task for building a strong education nation, with significant changes resulting from three years of strategic actions promoting the deep integration of artificial intelligence in education [3][5] - Beijing Normal University President Yu Jihong highlighted the profound transformation in education due to the rapid development of generative artificial intelligence and big data technology, calling for higher education institutions to lead digital education reform and innovate talent cultivation models [3][5] Group 2 - Feicheng City Education and Sports Bureau presented a "Feicheng Plan" for educational digital transformation, focusing on a "Smart Interconnection, Data-Driven, Quality Balanced" educational ecosystem [5] - The city is implementing three major actions: Foundation Building, Transformation, and Leap Forward, to comprehensively advance educational digital transformation and achieve significant results [5][6] - The Leap Forward action aims to establish a new paradigm for psychological health protection through AI-assisted analysis tools, promoting early detection and intervention for student psychological crises [6]

Core Viewpoint - The "2025 Global Smart Education Conference" emphasizes the integration of artificial intelligence in education, highlighting the need for educational transformation in the digital age [1][2][3]. Group 1: Educational Transformation - The conference focuses on the theme of "Human-Machine Collaboration in Creating a New Educational Ecosystem," indicating a shift towards integrating AI in educational practices [1]. - The Chinese education system is undergoing profound changes due to the deep integration of AI, which is seen as a strategic matter affecting the success of building a strong education nation [2]. - The mission and direction of education remain unchanged despite the evolving educational forms and tools brought about by AI [3]. Group 2: AI's Role in Education - AI technology is enhancing the educational experience for special needs students, improving their engagement and confidence in learning environments [2]. - The relationship between education and AI is reciprocal, where educational scenarios contribute to the iterative development of AI, leading to improved data quality and teaching standards [3]. - The conference aims to foster international collaboration in developing safe and controllable AI models for education, ensuring data sovereignty and cultural value transmission [3].

Core Viewpoint - The digitalization of education is a crucial breakthrough for developing new advantages in education and enhancing public emergency rescue literacy in China [1][5] Group 1: Emergency Education Development - Emergency education is an essential component of health education in schools, aimed at improving national emergency rescue literacy [1] - The integration of digital and practical approaches is necessary for the high-quality development of emergency education [1][5] Group 2: Teacher Training - Building a qualified emergency education teacher workforce is key to improving education quality, with current shortages and uneven distribution across regions [2] - A collaborative approach involving local governments, medical institutions, and educational bodies is essential for establishing a robust emergency education teacher resource pool [2] - Utilizing advanced technologies such as AI and big data can enhance the precision and effectiveness of teacher training [2] Group 3: Practical Training Bases - Practical training bases are critical for translating emergency education theory into practice, with recent guidelines issued to enhance student health literacy and emergency response capabilities [3] - The establishment of training bases, such as those at Jiangsu Nursing Vocational College, includes various simulated emergency scenarios to meet educational and community needs [3] - The integration of virtual simulation technologies and intelligent devices is being emphasized to create a comprehensive emergency education platform [3] Group 4: Training Models - Effective training models are vital for improving emergency education quality, emphasizing the need for continuous learning and skill reinforcement [4] - The development of a hybrid training model that combines online and offline learning can overcome traditional limitations in emergency skills training [4] - Jiangsu Nursing Vocational College has implemented a smart platform for public emergency training, enhancing accessibility to emergency knowledge and skills [4] Group 5: Public Emergency Literacy - Enhancing public emergency literacy reflects the civilization level of a nation, with emergency education being a key pathway for improvement [5] - The integration of digital technologies in emergency education is essential for creating an accessible and comprehensive emergency education system [5]

转自：大众报业·齐鲁壹点 8月6日，肥城市教育系统管理干部数字素养提升培训会在桃花源小学举行。 培训结束后，参训人员利用AI教研平台进行了作业上传与线上考核。肥城市教育和体育局在家领导班子成员、各科室负责同志，市教育科学研究中心、 教师进修学校全体人员，全市各中小学校长、业务分管校长、教学主任参加会议。 本次培训，邀请业内权威专家授课，旨在通过系统培训提升教育系统管理干部的数字素养，助力理念更新、能力提升，为肥城教育高质量发展注入强劲动 力。全市教育系统约300名管理干部参加培训。 培训班要求，参训人员要提高认识、端正态度，充分认识数字素养提升是时代要求与职责所在，以积极态度投入学习。要学以致用、注重实践，结合工作 实际带着问题学，将所学转化为推动数字化应用的具体成效。要严守纪律、服从管理，遵守培训秩序，确保保质保量完成学习任务。要持续开阔视野、更 新观念、提升能力，为肥城教育事业高质量发展贡献更多智慧和力量。 上午的培训，特邀鲁东大学外国语学院教授苏勇授课。苏勇教授就AI如何助推基础教育提质增效进行了详细讲解，帮助大家深化对教育数字化的认识， 提升AI实践应用能力。科大讯飞教研员张海峰通过智能备授课工具实操 ...

Group 1 - The core viewpoint emphasizes that digitalization in education is a crucial breakthrough for developing new advantages and pathways in education, driven by advancements in modern digital technologies like artificial intelligence [1] - The integration of digital technology with education is expected to facilitate changes in educational content and formats, accelerating the establishment of a learning-oriented society [1] - Continuous efforts to advance digital education will provide effective support for the modernization of education in the country [1] Group 2 - Improving foundational conditions and strengthening resource guarantees are essential as the national education digitalization strategy progresses, particularly in continuing education [2] - The establishment of an integrated smart management platform utilizing big data, AI, and 5G technologies is proposed to reshape continuing education models and structures [2] - Emphasis is placed on creating a rich atmosphere for lifelong learning through various learning activities and real-time dissemination of training projects and resources on official and social media platforms [2] Group 3 - The focus is on meeting student learning needs and development patterns by providing flexible and efficient educational offerings [3] - Digital technology's personalized supply advantages are highlighted, allowing for tailored learning plans based on individual learner preferences and strengths [3] - The use of online education platforms is encouraged to create immersive learning environments that enhance educational effectiveness [3] Group 4 - Strengthening the construction of the teaching workforce is crucial, with a focus on enhancing digital literacy and supply capabilities among continuing education teachers [4] - A series of mixed training courses combining theory and skills are proposed to help teachers advance their knowledge and skills [4] - Collaboration with other educational institutions and social organizations is emphasized to create a public service system for sharing quality educational resources and facilitating cooperative teaching [4]

Group 1 - The digital transformation of vocational education is entering a new stage of high-quality development, driven by the deep application of new information technologies such as cloud computing and big data, forming a modern educational ecosystem of "Internet + vocational education" [1] - The "Smart Exam Preparation Cloud Platform" developed by Ximaying Education provides precise learning diagnostics and personalized improvement plans, significantly promoting the digital transformation of the single enrollment training industry [3] - Ximaying has constructed a modular digital course system that integrates theoretical teaching and skill training, effectively enhancing candidates' professional competitiveness [3] Group 2 - The key to high-quality development in vocational education lies in the integration of resources and collaborative innovation, with Ximaying establishing a unique database that consolidates core information such as admission policies and exam question resources [3] - Ximaying has developed a "training-certification-supervision" system to enhance teachers' digital teaching capabilities, ensuring continuous optimization of teaching quality through a dual-track quality assurance mechanism [5] - The single enrollment training is rapidly evolving towards intelligence, with a shift from experience-driven to data-driven preparation models, optimizing educational resource allocation [7]

Core Viewpoint - The company, Fangzhi Technology, positions AI technology as a core driver for its comprehensive business development, enhancing efficiency, product upgrades, and new business exploration [2][5][10]. Company Overview - Fangzhi Technology is a leading provider of intelligent education services in China, focusing on the research, design, sales, and continuous service of K-12 education products and "AI + education digitalization" products [4][10]. - The company leverages emerging technologies such as the internet, artificial intelligence, and virtual digital humans to innovate in the field of education digitalization [4]. AI Technology Role - AI technology is seen as a critical driver for efficiency improvement, product upgrades, and new business development [5][6]. - As an efficiency tool, AI optimizes content production processes, significantly enhancing the efficiency of course creation and reducing time and labor costs [5][6]. - AI serves as a product upgrade engine, bringing revolutionary changes to educational products, such as the upcoming AI education hardware that offers engaging learning experiences for children [5][6]. - As a new business incubator, the company has expanded its business boundaries through AI technology, developing new directions in higher education and vocational training [6]. AI Application Case - A notable application case is the AI digital course construction project in collaboration with several institutions, which automates the generation of high-quality teaching videos [7]. - The project utilizes core technologies to create a hyper-realistic AI digital teacher, enhancing teaching effectiveness and student learning experiences [7]. Challenges in AI Implementation - The company faces challenges in data quality and diversity, which are crucial for training AI models effectively [8]. - Computational power requirements are high for the AI digital course generation system, necessitating robust infrastructure to support intensive computations [8][9]. - Algorithm optimization is essential for achieving realistic simulations of human expressions and actions, with ongoing improvements needed to enhance performance [9]. Competitive Landscape - AI is reshaping the competitive landscape of the education industry by enabling personalized and customized educational services [10]. - Companies that effectively leverage AI for precise teaching will gain market favor, while those with advanced AI capabilities can offer higher quality products at lower costs [10]. - Fangzhi Technology maintains its competitive edge through continuous investment in technology R&D and collaboration with educational institutions [10][11]. Governance Mechanisms - The company emphasizes AI ethics and data security, establishing comprehensive governance mechanisms to manage data throughout its lifecycle [12]. - Strict controls are in place for data collection, storage, usage, and transmission to prevent data breaches [12]. - The company ensures that AI applications adhere to ethical standards, prioritizing user rights and conducting thorough internal reviews of AI content and interactions [12].