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一年覆盖2万学生后 学而思“给孩子的一节AI课”为何还在升级?

文华 2026-07-27 09:40
文华 2026/07/27 09:40

邦小白快读

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本文核心介绍了学而思发起的AI科普公益项目“给孩子的一节AI课”的发展情况与核心内容,主要干货信息如下:

1. 项目进展:该项目2025年推出1.0版本单节体验课,一年时间联动29所高校支教团,走进全国120余所小学,覆盖2万名学生;2026年升级为2.0版本,改为10节系列课,体系化覆盖文生文、文生图、文生视频等AI核心能力教学。

2. 课程核心设计:课程设计了“四步提问法”和“结构化提示词框架”,教授孩子正确和AI对话的方法,还专门设置课程讲解AI幻觉、概率输出机制等知识,帮助孩子建立信息验证习惯,明确AI无法替代人类做判断,契合国家AI素养培养的要求。

3. 配套公益行动:项目联合北大等高校发起“科学领路人”计划培训一线科学教师,还向基层小学捐赠教具、学习机,安排专人长期跟踪项目落地,保持和学校、学生的长期交互。

本文能给教育类品牌商提供品牌建设、产品布局、合作模式等方面的参考干货,具体内容如下:

1. 消费趋势与需求判断:当下小学生是伴随AI成长的一代,已经对AI有零散认知,但缺乏系统化的AI素养培养,国家“十五五”规划明确要求推进全学段AI教育,提升青少年科学素养,AI素养教育是符合政策导向的蓝海领域。

2. 品牌营销路径参考:品牌可以走“公益+业务”的路线,切入基层青少年科学教育领域,解决当前基层学校缺AI课程、缺师资的痛点,既响应政策需求,也能树立品牌承担社会责任的正面形象,获得公众认可。

3. 校企合作模式参考:可参考学而思与北大的升级式合作,从第一年捐赠资源,到第二年赋能教师,再到第三年课程共建构建长期机制,逐步深化合作,激活一线参与者的主动性,放大项目价值,避免一次性公益的无效投入。

对于教育领域卖家,本文整理了政策导向、市场机会和可落地的行动参考,干货内容如下:

1. 政策与市场机会:国家“十五五”教育规划明确要求推进人工智能全学段教育,提升学生AI素养与批判性思维,AI素养教育是政策支持的明确增长赛道。据公开数据,当前全国普通小学校均仅1.9名专职科学教师,农村地区缺口更大,基层学校存在缺系统化AI课程、缺专业师资培训的大量未满足需求。

2. 可参考的落地路径:可以参考学而思的模式,从输出系统化AI课程内容切入,搭配师资培训解决基层教师“不会教”的痛点,再通过专人长期跟踪维护,实现课程常态化落地,把短期项目做成长期可持续业务;还可以联动高校、公益基金会打造项目IP,获取更多资源支持。

3. 风险提示:布局该领域不能只重硬件销售,忽略内容配套和长期运营,只有解决师资和持续使用的问题,才能真正打开市场。

对于教育教具、学习硬件类生产工厂,本文整理了产品需求、商业机会和数字化转型的相关干货,内容如下:

1. 产品生产设计需求:当前基层学校对适配AI教育、科学教育的教具、学习硬件有明确的批量需求,仅本次学而思就向玉田县三所小学捐赠了1500套科学教具和65台学习机,覆盖5500余名学生,下沉县域、乡村学校的硬件需求规模可观,工厂可以针对性开发高性价比的适配产品。

2. 商业机会拓展:工厂可以对接教育品牌、公益项目的采购需求,借力公益项目切入下沉基层学校市场,打开To B端新的销售渠道,拓展市场增量。

3. 数字化与业务升级启示:AI教育是未来明确的发展方向,工厂可以围绕AI教育场景升级产品设计,适配AI课程的使用需求,还可以和教育内容品牌开展合作,走“硬件+内容”绑定的模式,提升产品附加值,满足学校既要硬件也要配套内容服务的需求,增强自身产品竞争力。

对于K12教育领域服务商,本文梳理了AI教育领域的行业趋势、核心痛点和可参考的解决方案,干货如下:

1. 行业发展趋势:AI素养教育已经成为国家政策明确要求推进的教育方向,随着AI的普及,基层学校对系统化AI教育服务的需求会持续增长,市场空间广阔。

2. 核心客户痛点:当前基层小学AI教育的核心痛点不是硬件不足,而是缺系统化的AI课程内容,缺具备AI教学能力的师资,一线教师不会上AI课是阻碍AI教育落地的核心问题。

3. 可参考的解决方案:可以参考学而思的解决方案,一方面开发体系化的AI素养课程,核心培养学生向AI提问、分辨AI信息真伪的能力,契合政策培养要求;另一方面配套开展一线师资培训,解决教师不会教的问题,再建立长期跟踪服务机制,保障课程常态化落地,把一次性服务转化为长期可持续的服务,还可以联动高校、公益基金会提升服务公信力。

对于布局中小学教育的平台商,本文整理了市场需求、运营方向和风险规避相关干货,内容如下:

1. 市场需求判断:当前基层学校对AI素养教育、科学教育有强烈的未满足需求,平台可以将AI素养教育服务作为新的业务增长点,对接学校和公益项目的相关需求。

2. 平台运营与合作方向:平台可以整合内容品牌、高校、公益基金会等多方资源,搭建AI教育服务生态,为基层学校提供课程、师资培训、硬件对接的一站式服务,解决单个机构无法解决的行业痛点。

3. 招商与风险规避:平台可以引入具备课程开发能力、公益运营经验的品牌入驻,共同开拓下沉基层市场;需要规避重流量轻运营、重捐赠轻落地的问题,不能只做一次性项目,要推动建立长期跟踪运营机制,持续对接学校需求,保障项目长期落地,才能获得合作方和用户的长期认可。

对于教育产业研究者,本文提供了AI素养教育落地、教育公益模式创新的新动向与新样本,干货内容如下:

1. 产业新动向:当前AI素养教育已经从国家政策要求落地到基层学校场景,市场化教育品牌联动高校、公益基金会参与基层AI教育供给,是教育产业供给侧的新探索,社会力量参与补齐基层教育资源短板成为新的发展方向。

2. 行业新问题:本文明确了当前基层AI教育的核心矛盾,即硬件容易获取,但师资缺口大、系统化课程供给不足,传统一次性公益捐赠无法解决长期落地的问题,如何激活基层教育工作者的内生动力,是教育公益行业需要解决的新问题。

3. 创新模式启示:本文提出了可持续教育公益的创新模式,即沿着资源捐赠-教师赋能-课程共建-长期运营的路径逐步升级,最终激活一线校长、教师主动挖掘本土教育资源,把一次性公益活动转化为长期常态化的教育机制,为社会力量参与落实国家教育政策提供了可研究的新样本。

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Quick Summary

This article introduces the development and core content of "One AI Lesson for Kids", an AI science popularization public welfare program initiated by TAL. Key takeaways are as follows:

1. Program progress: The program launched its 1.0 version with a single trial class in 2025. Within one year, it partnered with volunteer teaching teams from 29 universities, reaching more than 120 primary schools across China and covering 20,000 students. It was upgraded to version 2.0 in 2026, adjusted to a 10-lesson series that systematically teaches core AI capabilities including text generation, text-to-image, and text-to-video.

2. Core curriculum design: The course features a "four-step questioning method" and a "structured prompt framework" to teach children how to interact with AI properly. It also includes dedicated sessions on AI hallucination, probabilistic output mechanisms and other foundational knowledge, helping students build habits of information verification and understand that AI cannot replace human judgment. This design aligns with China’s national requirements for AI literacy cultivation.

3. Supporting public welfare initiatives: TAL partnered with Peking University and other universities to launch the "Science Mentor" program to train frontline science teachers. It also donates teaching aids and learning tablets to grassroots primary schools, and assigns dedicated staff to track long-term program implementation and maintain continuous engagement with schools and students.

This article provides actionable insights for education brands on brand building, product layout and partnership models. Key takeaways are as follows:

1. Consumption trend and demand assessment: Today’s primary school students are the first generation growing up with AI. They already have scattered exposure to AI but lack systematic AI literacy cultivation. China’s 15th Five-Year Plan explicitly requires promoting AI education across all school stages and improving youth scientific literacy, making AI literacy education a policy-aligned blue ocean market.

2. Reference for brand marketing paths: Brands can adopt a "public welfare + core business" strategy to enter the grassroots youth science education space. By addressing the current pain points of lack of AI courses and qualified teachers in grassroots schools, brands can not only respond to policy demands but also build a positive image of corporate social responsibility and earn public recognition.

3. Reference for university-enterprise cooperation models: Brands can learn from TAL’s progressive cooperation model with Peking University: starting with resource donation in the first year, moving to teacher empowerment in the second, and building a long-term mechanism through co-developing courses in the third. This gradual deepening of cooperation activates the initiative of frontline participants, amplifies program impact, and avoids ineffective one-off charity investments.

This article summarizes policy orientations, market opportunities and actionable insights for education sellers. Key takeaways are as follows:

1. Policy and market opportunities: China’s 15th Five-Year Education Plan explicitly requires promoting AI education across all school stages and improving students’ AI literacy and critical thinking, making AI literacy education a clearly supported growth track. Public data shows that China currently has only 1.9 full-time science teachers on average per primary school, with even larger gaps in rural areas. Grassroots schools have massive unmet demand for systematic AI courses and professional teacher training.

2. Actionable implementation references: Sellers can follow TAL’s model: start by providing systematic AI course content, pair it with teacher training to solve the "how to teach" pain point for grassroots teachers, and achieve sustained regular implementation through dedicated long-term follow-up, turning a short-term project into a sustainable long-term business. Sellers can also partner with universities and public welfare foundations to build a program IP and access more resource support.

3. Risk warning: When entering this space, players should not focus solely on hardware sales while neglecting content support and long-term operation. Only by solving the problems of teacher capacity and sustained usage can the market be truly unlocked.

This article sorts out product demand, business opportunities and digital transformation insights for education teaching aid and hardware manufacturers. Key takeaways are as follows:

1. Product design and development demand: Grassroots schools have clear bulk demand for teaching aids and learning hardware adapted for AI and science education. In this TAL program alone, 1,500 sets of science teaching aids and 65 learning tablets were donated to three primary schools in Yutian County, covering more than 5,500 students. The demand scale for hardware in down-county and rural schools is considerable, so manufacturers can develop targeted cost-effective adapted products.

2. Business opportunity expansion: Manufacturers can connect with the procurement needs of education brands and public welfare programs, leverage public welfare projects to enter the grassroots school market, open up new B2B sales channels, and expand market growth.

3. Insights for digital and business upgrading: AI education is a clear future development direction. Manufacturers can upgrade product design around AI education scenarios to adapt to the needs of AI course usage. They can also partner with education content brands to adopt a "hardware + content" bundled model, increase product added value, meet schools’ demand for both hardware and supporting content services, and enhance product competitiveness.

This article sorts out industry trends, core pain points and reference solutions for K12 education service providers in the AI education space. Key takeaways are as follows:

1. Industry development trend: AI literacy education is now an educational direction explicitly required to be promoted by national policy. With the popularization of AI, demand for systematic AI education services from grassroots schools will continue to grow, creating broad market space.

2. Core pain points of target clients: The core bottleneck for AI education implementation in grassroots primary schools is not insufficient hardware, but lack of systematic AI course content and teachers with AI teaching capabilities. Frontline teachers’ inability to teach AI courses is the core problem blocking AI education implementation.

3. Reference solutions: Service providers can learn from TAL’s solution: on one hand, develop systematic AI literacy courses that focus on cultivating students’ ability to ask questions to AI and distinguish the authenticity of AI information, which aligns with policy cultivation requirements; on the other hand, provide supporting frontline teacher training to solve the problem of teachers lacking teaching capacity, and establish a long-term follow-up service mechanism to ensure regular course implementation, turning one-off services into sustainable long-term services. Providers can also partner with universities and public welfare foundations to enhance service credibility.

This article sorts out market demand, operation direction and risk avoidance insights for platform operators focusing on K-12 education. Key takeaways are as follows:

1. Market demand assessment: Grassroots schools currently have strong unmet demand for AI literacy education and science education. Platforms can position AI literacy education services as a new business growth point and connect with relevant demands from schools and public welfare programs.

2. Platform operation and partnership direction: Platforms can integrate resources from content brands, universities, public welfare foundations and other stakeholders to build an AI education service ecosystem, providing one-stop services including courses, teacher training and hardware matching for grassroots schools, and solving industry pain points that single institutions cannot address alone.

3. Partner recruitment and risk avoidance: Platforms can invite brands with course development capabilities and public welfare operation experience to settle in and jointly explore the grassroots market. Platforms need to avoid the pitfalls of prioritizing traffic over operation and prioritizing donation over implementation. Instead of only running one-off projects, they should promote the establishment of long-term follow-up operation mechanisms, continuously match schools’ demands and ensure long-term program implementation, so as to earn long-term recognition from partners and users.

This article provides new trends and a new case study for education industry researchers on AI literacy education implementation and educational public welfare model innovation. Key takeaways are as follows:

1. New industry trends: AI literacy education has now moved from national policy requirements to implementation in grassroots school scenarios. The participation of market-oriented education brands, in partnership with universities and public welfare foundations, in providing grassroots AI education resources is a new exploration on the supply side of the education industry. Social force participation to fill gaps in grassroots education resources has become a new development direction.

2. New emerging industry problems: This article clarifies the core contradiction of current grassroots AI education: while hardware is easy to obtain, there are large gaps in teacher capacity and systematic course supply, and traditional one-off public welfare donations cannot solve the problem of long-term implementation. How to activate the endogenous motivation of grassroots educators is a new problem that the educational public welfare industry needs to solve.

3. Insights on innovative models: This article presents an innovative model for sustainable educational public welfare: progressive upgrading along the path of resource donation → teacher empowerment → co-developed courses → long-term operation, which ultimately activates the initiative of frontline principals and teachers to develop local educational resources, turning one-off public welfare activities into long-term regular education mechanisms. This provides a researchable new case for social forces participating in the implementation of national education policies.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

“我长大了想当语文老师”“我长大后要当总裁”“我长大后要当医生,AI能不能帮我治好更多病人”……之后学生们亲手用AI生成了自己20年后的“职业照”。

7月15日,河北省玉田县实验小学的AI课堂上,一群小学生正热烈地畅谈着自己的理想。他们正在上的,是学而思为他们准备的“给孩子的一节AI课”。

讲台上,学而思讲师金澍然正在为孩子们讲解AI的知识,北大学生在台下当助教,帮助孩子们完成自己的AI创作。

这些孩子对AI并不陌生。有的在短视频里刷到过音乐,有的用父母的手机试过语音对话,有的同学向“AI老师”请教过难题。所以,这堂课不是从零开始,而是将帮他们把零散的、感性的认知,做成系统的课程:什么是AI、AI能做什么、AI与机器的区别、AI能否替代音乐家等。

这堂“给孩子的一节AI课”,开始于2025年。据介绍,去年一年,该项目已联动29所高校支教团,走进120余所小学,覆盖2万名学生。今年,课程从单节体验课升级为10节系列课。

当AI以前所未有的速度改变世界,学生需要什么样的AI教育?一堂短短的AI课,又能改变什么?

01 从1.0到2.0,学而思给孩子的一节AI课,在升级什么?

“给孩子的一节AI课”是由学而思发起的AI科普公益项目。

2025年1.0版本,是一节体验课,核心是让孩子知道“AI是什么”。2026年的2.0版本,变成了10节课。内容从文生文、文生图、文生视频,覆盖了AI核心能力的体系化教学。

从单节课到系列课,变化的不仅是课程长度,更是对“孩子需要什么”的回答。

这堂课的核心是在“提问”。课程设计了“四步提问法”和“结构化提示词框架”,教孩子怎么跟AI对话。因为当AI需要精确的指令才能输出好的结果时,学会提问变得更加重要。

课程里还有一节专门讨论“AI的答案能全部相信吗?”涉及AI幻觉、概率输出机制、数学质量对结果的影响。这堂课教孩子们建立信息验证习惯,明确AI不能代替人类作判断。

而这正是“十五五”规划所强调的方向。国务院印发的《教育发展“十五五”规划》明确提出:“完善科学教育体系,加强青少年科学素养、批判性思维和创新能力培养,强化科技教育和人文教育协同。推进人工智能全学段教育,提升学生人工智能素养,增强提出问题、解决问题的能力。”

但规划与现实之间的差距,比想象中的要大得多。

根据教育部2026年6月发布的《2025年全国教育事业发展统计公报》,全国普通小学有专职科学教师28.2万人,校均仅1.9人。在农村地区,这一数字更低。

在此背景下,学而思把这10节课带入更多小学生的课堂,回应了“提升学生人工智能素养”这一命题。但更深层次的问题是:AI素养到底是什么?不是写代码,不是懂算法,而是知道AI能做什么、不能做什么。

对于学生们而言,学会如何向AI提问,如何让自己具备分辨信息真伪的能力,或许更为关键。但这些能力的培养,非一日之功。

02 北大学子走出燕园,看见真实的“另一面”

北京大学生命科学学院的20余名学生,是这次活动的助教。

但他们不是简单的支教,而是北大生命科学学院的红色研学思政实践团。按照安排,他们先到玉田开展教育实践,再前往西柏坡等红色阵地进行沉浸式研学。从科技讲台到革命旧址,这条路线具有深意:让学生“看见”中国教育的真实图景。

北京大学生命科学学院团委副书记杨津培表示:“西南联大的基因告诉我们,无论在什么条件下,都要为孩子们做力所能及的事。”这句话点出了北大生科院参与这一项目的底层逻辑,这是北大教育精神的延续。

对这群刚走进大学校园的年轻人来说,玉田的课堂和北大的实验室之间,是教育的不同切面。他们在这里看到了小孩子面对AI的热情和好奇。同学们争先恐后地举手、迫不及待要亲手尝试的状态,是对知识的渴望。

渴望的另一边是AI对所有人的冲击。一位支教的北大学生表示:“这些小学生是伴随AI成长的一代,他们对AI的了解比我们想象中要多和更深。但如何用好AI,如何辨别AI幻觉等也成为当下的难题。”他认为,让小学生们对AI有系统认识,是他们用好AI的基础。

用好AI的定义,其实拥有更广泛的定义。

以北大和学而思的校企合作为例。2024年,双方联合发起“给孩子100座博物馆”公益项目。双方合作之下,已向全国近百所学校捐赠微型博物馆。

今年5月,中国科技发展基金会、北京大学生命科学学院、学而思大科学联合发起“科学领路人”计划,面向全国中小学科学教师招募,提供课程资源、教具及持续专业支持。

此次双方的合作升级为课程共建,北大学生从“参与者”变为“实践者”,从北大实验室走进县城小学课堂。

可以看到,北大生命科学学院与学而思的合作正在持续升级:第一年捐赠资源,第二年赋能教师,第三年构建长期机制。

学而思执行总裁、北京学而思公益基金会理事长位晨分享了一个细节。“给孩子100座博物馆”项目落地后,一位乡村小学的校长深度参与项目后发现,该项目大受启发,将学校周边的自然环境、乡土文化创作成孩子们的“微型博物馆”。

她认为,这一发现让捐赠的意义超越了“送来一批资源”,更是激活了校长和老师,让他们开始挖掘出身边的教育资源。这其实也涉及教育公益的一个深层逻辑,捐赠能否触发使用者的行动。

此前,来自山东省聊城市的教师刘圆圆在参与“科学领路人”研修后说:“专家的分享让我明白教师不只是教科学,而是要做孩子科学路上的引路人,守护他们的疑问,引导他们动手实践、主动探究。”

据称,“科学领路人”计划的核心赋能举措的“北京大学基层中小学科学教育可持续发展人才研修班”,已吸引来自全国11个省、31个市的百余名一线教师参加。

03 一粒种子之后,静待花开

活动当天,学而思联合北京大学生命科学学院,向玉田县三所小学捐赠了1500套科学教具和65台学习机,覆盖5500余名学生。

“公益像一粒种子,我们用长期主义,长期帮扶乡村学校的科学教育。”位晨在捐赠仪式上说道。希望通过继续联合各方力量,推动科学教育在基层的普及,让科学的种子在乡村广袤的土地上生根发芽、茁壮成长,也为提升下一代综合素质、挖掘孩子未来发展潜力奠定坚实基础。

种子发芽需要土壤。

当前县域科技教育的现实是:硬件易得,师资难求。此时,“科学领路人”计划正是对这一现状的回应。而“给孩子的一节AI课”,则是通过提供高质量的系统课程内容,帮助老师们提升对AI课程的认知,再通过师资培训解决“不会用”的问题,最终实现课程的常态化落地。从而将教育公益从“一次性活动”为难成“长期机制。”

活动结束,真正的考验才刚刚开始。1000套教具能否被持续使用?65台学习机能维持多久的使用频率?AI课程能否从“嘉宾课”变成“常规课”?

对此,学而思的答案是:会安排专人跟踪项目,与所有合作学校保持常态联系,如有学习机的学校,通过“小思来信”定期收集学生们的问题,再由学而思的老师来解答,以保持长期的交互。“第一是有温度,第二是有耐力。”位晨说道。

可以看到,在此活动中,政策、学校、一线老师都在以不同的方式播种科学种子,学而思也正参与其中,努力做一位耐心的播种者。

注:文/文华,文章来源:子弹财经,本文为作者独立观点,不代表亿邦动力立场。

文章来源:子弹财经

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FAQ回顾

学而思“给孩子的一节AI课”是什么项目?

这是学而思发起的AI科普公益项目,2025年启动时为单节体验课,核心是科普AI基础认知,2026年升级为10节系列课,覆盖AI核心能力体系化教学,截至2025年已走进120余所小学、覆盖2万名学生。

提升青少年AI素养重点要培养哪些能力?

提升青少年AI素养不需要优先掌握写代码、懂算法的技能,核心是要明确AI能做什么、不能做什么,学会向AI精准提问,具备分辨信息真伪的能力,建立信息验证习惯,明确AI不能代替人类作判断。

当前县域中小学科学教育面临的主要困境是什么?

据《2025年全国教育事业发展统计公报》,全国普通小学校均仅1.9名专职科学教师,农村地区数量更低,县域科学教育普遍存在硬件易得、师资难求的问题,缺乏高质量AI课程及配套师资培训。

学而思与北大生科院的教育公益合作涉及哪些内容?

双方先后联合发起“给孩子100座博物馆”公益项目、“科学领路人”中小学教师赋能计划,2026年升级为AI科普课程共建,北大学生以助教身份参与县域小学AI课教学,共同推进基层科学教育普及。

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