<p>纽约市，纽约州 / ACCESS Newswire /2025 年 12 月 18 日/ Classover Holdings, Inc.（&#34;Classover&#34;或&#34;公司&#34;），一家领先的 K-12 教育人工智能提供商，今天宣布其核心增长引擎 Classover AI Tutor 取得了显著进展，旨在开发一种下一代辅导系统，超越&#34;回答问题的人工智能&#34;，朝着实时持续做出教学决策的人工智能迈进——根据每个学生的实际学习情况调整解释、互动流程和难度。Classover 将这种方法描述为&#34;教育的特斯拉 FSD&#34;：一种自主决策系统，能够读取&#34;学习之路&#34;并随时调整教学。</p>
<p>AI Tutor 的开发围绕一个简单的理念：教育中最大的差距是无法获取内容——缺乏个性化的节奏和指导。Classover 的目标是通过使 AI Tutor 能够积极引导学生克服困惑、犹豫、掌握知识和取得进步，从而在规模上提供更人性化的学习体验——而不依赖于固定的课程脚本。</p>
<p>该项目的核心是一个动态教学调整系统，利用实时信号——如回答准确性、思考时间、互动模式和语音语调——自动选择下一步的内容。根据学生的实时表现，AI Tutor 可以设计为增加额外的解释、提供更多示例、降低难度以重建信心，或加快进度并转向下一个知识点。其目的是创造真正的实时自适应学习，将辅导从被动传递转变为主动指导。</p>
<p>与此同时，Classover 正在构建一个个性化层，灵感来自现代推荐引擎——公司内部将其比作&#34;教育信息流&#34;。随着时间的推移，AI Tutor 预计将为每个孩子生成个性化的学习地图（&#34;学习基因组&#34;），并根据学习行为推荐最有效的下一步。这一学习基因组将旨在支持动态、按需生成个性化练习题、个性化解释风格（视觉、口头、故事型）以及个性化反馈和激励，超越一刀切的教科书序列，朝着每个学习者的&#34;定制教师&#34;体验迈进。</p>
<p>Classover AI Tutor 还被开发为一个多学科平台，旨在高频率家庭使用，涵盖数学、阅读、科学和写作。目前和计划中的功能包括可以直接从课程材料生成的 AI 生成课程视频，无需教师手动录制，能够进行实时对话辅导的实时问答和引导学习，以及一个正在开发中的自适应学习引擎，旨在通过动态难度调整加强个性化学习路径。</p>
<p>Classover 相信这一 AI Tutor 倡议代表了朝着一个能够在全球范围内扩展个性化教学的 AI 原生教育平台迈出的重要一步，公司计划在后续公告中提供有关产品里程碑、功能扩展和下一步的进一步更新，随着开发的进展。</p>
<p><strong>关于 Classover</strong></p>
<p>Classover Holdings Inc.是一家以技术驱动的教育公司，专注于为 K-12 及更广泛的教育市场开发人工智能驱动的学习系统。公司的平台旨在通过应用先进的人工智能技术，提高学习的可及性、个性化和效率。Classover 总部位于纽约，运营支持全球的学生和教育工作者。</p>
<p><strong>前瞻性声明</strong></p>
<p>本新闻稿包含根据 1995 年美国私人证券诉讼改革法案的安全港条款定义的 “前瞻性声明”。前瞻性声明既不是历史事实，也不是对未来表现的保证。相反，它们仅基于 Classover 当前对其业务未来、未来计划和战略、预测、预期事件和趋势、经济以及其他未来条件的信念、期望和假设。由于前瞻性声明涉及未来，因此它们受到固有的不确定性、风险和变化的影响，这些因素难以预测，且许多因素超出了 Classover 的控制范围，包括但不限于：Classover 执行其商业模式的能力，包括获得市场对其产品和服务的认可；Classover 推进 AI Tutor 的能力；SOL 价格的风险，历史上该价格经历了剧烈波动且高度不稳定，可能大幅下跌，从而对 Classover 的财务状况和经营结果产生负面影响；Classover 的财务和业务表现，包括财务预测和业务指标及其任何基本假设；Classover 维持其证券在纳斯达克上市的能力；Classover 战略、未来运营、财务状况、预计收入和损失、预计成本、前景和计划的变化；Classover 吸引和留住大量客户的能力；Classover 未来的资本需求及现金的来源和用途；与加密资产相关的监管变化；加密资产价格的波动；与加密资产保管相关的风险，包括安全风险；Classover 吸引和留住关键人员的能力；Classover 对其获得和维持知识产权保护的能力的期望，以及不侵犯他人权利的能力；适用法律或法规的变化；以及 Classover 可能受到其他经济、商业和/或竞争因素的不利影响的可能性。这些风险和不确定性还包括 Classover 在 SEC 文件中指出的那些风险和不确定性。Classover 的实际结果和财务状况可能与前瞻性声明中所指示的有重大差异。因此，您不应依赖任何这些前瞻性声明。</p>
<p>Classover 在本新闻稿中所作的任何前瞻性声明仅基于 Classover 当前可获得的信息，并仅在作出声明的日期有效。Classover 没有义务公开更新任何前瞻性声明，无论是书面还是口头，可能会不时作出，无论是由于新信息、未来发展还是其他原因。</p>
<p><strong>联系方式</strong></p>
<p>Classover Holdings Inc.</p>
<p>ir@classover.com</p>
<p>800-345-9588</p>
<p><strong>来源：</strong> Classover Holdings Inc.</p>
<p>查看 ACCESS Newswire 上的原始新闻稿</p>

KIDZ

<p>Classover Holdings, Inc. 宣布其人工智能辅导员的进展，旨在为 K-12 教育创建一个实时自适应学习系统。该人工智能辅导员根据学生的表现调整教学方法，提供个性化的指导。该系统利用实时信号来调整解释、互动流程和难度。Classover 旨在大规模提供类人学习体验，具备多个学科的能力。公司计划进一步更新产品里程碑和功能扩展</p>

<p>NEW YORK CITY, NY / ACCESS Newswire / December 18, 2025 / Classover Holdings, Inc.  (&#34;Classover&#34; or the &#34;Company&#34;), a leading provider in K-12 educational AI, today announced that it has significantly advanced its core growth engine, Classover AI Tutor, seeking to develop a next-generation tutoring system designed to move beyond &#34;AI that answers questions&#34; and toward AI that continuously makes teaching decisions in real time - adjusting explanations, interaction flow, and difficulty based on how each student is actually learning. Classover describes this approach as &#34;Education's Tesla FSD&#34;: an autonomous decision system that reads the &#34;learning road&#34; and adapts instruction moment by moment.</p>
<div class="lb-trans"><p>纽约市，纽约州 / ACCESS Newswire /2025 年 12 月 18 日/ Classover Holdings, Inc.（&#34;Classover&#34;或&#34;公司&#34;），一家领先的 K-12 教育人工智能提供商，今天宣布其核心增长引擎 Classover AI Tutor 取得了显著进展，旨在开发一种下一代辅导系统，超越&#34;回答问题的人工智能&#34;，朝着实时持续做出教学决策的人工智能迈进——根据每个学生的实际学习情况调整解释、互动流程和难度。Classover 将这种方法描述为&#34;教育的特斯拉 FSD&#34;：一种自主决策系统，能够读取&#34;学习之路&#34;并随时调整教学。</p>
</div><p>AI Tutor is being developed around a simple idea: the biggest gap in education is the failure to access content - a lack of personalized pacing and guidance. Classover's goal is to deliver a more human-like learning experience at scale by enabling AI Tutor to actively guide a student through confusion, hesitation, mastery, and progress - without relying on fixed lesson scripts.</p>
<div class="lb-trans"><p>AI Tutor 的开发围绕一个简单的理念：教育中最大的差距是无法获取内容——缺乏个性化的节奏和指导。Classover 的目标是通过使 AI Tutor 能够积极引导学生克服困惑、犹豫、掌握知识和取得进步，从而在规模上提供更人性化的学习体验——而不依赖于固定的课程脚本。</p>
</div><p>At the center of the project is a dynamic teaching adjustment system that uses real-time signals - such as answer accuracy, thinking time, interaction patterns, and voice tone - to automatically choose what happens next. Depending on the student's live performance, AI Tutor can be designed to add an extra explanation, provide more examples, lower difficulty to rebuild confidence, or increase pace and move to the next knowledge point. The intent is to create true Real-Time Adaptive Learning, shifting tutoring from passive delivery to proactive guidance.</p>
<div class="lb-trans"><p>该项目的核心是一个动态教学调整系统，利用实时信号——如回答准确性、思考时间、互动模式和语音语调——自动选择下一步的内容。根据学生的实时表现，AI Tutor 可以设计为增加额外的解释、提供更多示例、降低难度以重建信心，或加快进度并转向下一个知识点。其目的是创造真正的实时自适应学习，将辅导从被动传递转变为主动指导。</p>
</div><p>In parallel, Classover is building a personalization layer inspired by modern recommendation engines - a concept the Company internally compares to an &#34;education feed.&#34; Over time, AI Tutor is expected to generate an individualized learning map (&#34;Learning Genome&#34;) for each child and recommend the most effective next step based on learning behavior. This Learning Genome will be designed to support dynamic, on-demand generation of personalized practice problems, personalized explanation styles (visual, verbal, story-based), and personalized feedback and motivation, moving beyond one-size-fits-all textbook sequences toward a &#34;custom teacher&#34; experience for every learner.</p>
<div class="lb-trans"><p>与此同时，Classover 正在构建一个个性化层，灵感来自现代推荐引擎——公司内部将其比作&#34;教育信息流&#34;。随着时间的推移，AI Tutor 预计将为每个孩子生成个性化的学习地图（&#34;学习基因组&#34;），并根据学习行为推荐最有效的下一步。这一学习基因组将旨在支持动态、按需生成个性化练习题、个性化解释风格（视觉、口头、故事型）以及个性化反馈和激励，超越一刀切的教科书序列，朝着每个学习者的&#34;定制教师&#34;体验迈进。</p>
</div><p>Classover AI Tutor is also being developed as a multi-subject platform intended for high-frequency family usage across Math, Reading, Science, and Writing. Current and planned capabilities include AI-generated lesson videos that can be produced directly from curriculum materials without requiring teachers to manually record, conversational real-time tutoring that enables live Q&amp;A and guided learning, and an adaptive learning engine (in development) designed to strengthen individualized learning paths through dynamic difficulty adjustment.</p>
<div class="lb-trans"><p>Classover AI Tutor 还被开发为一个多学科平台，旨在高频率家庭使用，涵盖数学、阅读、科学和写作。目前和计划中的功能包括可以直接从课程材料生成的 AI 生成课程视频，无需教师手动录制，能够进行实时对话辅导的实时问答和引导学习，以及一个正在开发中的自适应学习引擎，旨在通过动态难度调整加强个性化学习路径。</p>
</div><p>Classover believes this AI Tutor initiative represents a significant step toward an AI-native education platform that can scale personalized instruction globally, and the Company intends to provide further updates on product milestones, feature expansions, and next steps in subsequent announcements as development progresses.</p>
<div class="lb-trans"><p>Classover 相信这一 AI Tutor 倡议代表了朝着一个能够在全球范围内扩展个性化教学的 AI 原生教育平台迈出的重要一步，公司计划在后续公告中提供有关产品里程碑、功能扩展和下一步的进一步更新，随着开发的进展。</p>
</div><p><strong>About Classover</strong></p>
<div class="lb-trans"><p><strong>关于 Classover</strong></p>
</div><p>Classover Holdings Inc.  is a technology-driven education company focused on developing artificial intelligence-powered learning systems for the K-12 and broader education markets. The Company's platform is designed to enhance learning accessibility, personalization, and efficiency through the application of advanced AI technologies. Classover is headquartered in New York, with operations supporting students and educators globally.</p>
<div class="lb-trans"><p>Classover Holdings Inc.是一家以技术驱动的教育公司，专注于为 K-12 及更广泛的教育市场开发人工智能驱动的学习系统。公司的平台旨在通过应用先进的人工智能技术，提高学习的可及性、个性化和效率。Classover 总部位于纽约，运营支持全球的学生和教育工作者。</p>
</div><p><strong>Forward-Looking Statements</strong></p>
<div class="lb-trans"><p><strong>前瞻性声明</strong></p>
</div><p>This press release contains &#34;forward-looking statements&#34; within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on Classover's current beliefs, expectations and assumptions regarding the future of Classover's business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of Classover's control including, but not limited to: Classover's ability to execute its business model, including obtaining market acceptance of its products and services; Classover's ability to advance the AI Tutor; the risk that the price of SOL, which has historically been subject to dramatic price fluctuations and is highly volatile, could fall substantially negatively impacting Classover's financial condition and results of operations; Classover's financial and business performance, including financial projections and business metrics and any underlying assumptions thereunder; Classover's ability to maintain the listing of its securities on Nasdaq; changes in Classover's strategy, future operations, financial position, estimated revenue and losses, projected costs, prospects and plans; Classover's ability to attract and retain a large number of customers; Classover's future capital requirements and sources and uses of cash; regulatory changes related to crypto assets; fluctuations in the price of crypto assets; risks related to the custody of crypto assets, including security risks; Classover's ability to attract and retain key personnel; Classover's expectations regarding its ability to obtain and maintain intellectual property protection and not infringe on the rights of others; changes in applicable laws or regulations; and the possibility that Classover may be adversely affected by other economic, business, and/or competitive factors. These risks and uncertainties also include those risks and uncertainties indicated in Classover's filings with the SEC. Classover's actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements.</p>
<div class="lb-trans"><p>本新闻稿包含根据 1995 年美国私人证券诉讼改革法案的安全港条款定义的 “前瞻性声明”。前瞻性声明既不是历史事实，也不是对未来表现的保证。相反，它们仅基于 Classover 当前对其业务未来、未来计划和战略、预测、预期事件和趋势、经济以及其他未来条件的信念、期望和假设。由于前瞻性声明涉及未来，因此它们受到固有的不确定性、风险和变化的影响，这些因素难以预测，且许多因素超出了 Classover 的控制范围，包括但不限于：Classover 执行其商业模式的能力，包括获得市场对其产品和服务的认可；Classover 推进 AI Tutor 的能力；SOL 价格的风险，历史上该价格经历了剧烈波动且高度不稳定，可能大幅下跌，从而对 Classover 的财务状况和经营结果产生负面影响；Classover 的财务和业务表现，包括财务预测和业务指标及其任何基本假设；Classover 维持其证券在纳斯达克上市的能力；Classover 战略、未来运营、财务状况、预计收入和损失、预计成本、前景和计划的变化；Classover 吸引和留住大量客户的能力；Classover 未来的资本需求及现金的来源和用途；与加密资产相关的监管变化；加密资产价格的波动；与加密资产保管相关的风险，包括安全风险；Classover 吸引和留住关键人员的能力；Classover 对其获得和维持知识产权保护的能力的期望，以及不侵犯他人权利的能力；适用法律或法规的变化；以及 Classover 可能受到其他经济、商业和/或竞争因素的不利影响的可能性。这些风险和不确定性还包括 Classover 在 SEC 文件中指出的那些风险和不确定性。Classover 的实际结果和财务状况可能与前瞻性声明中所指示的有重大差异。因此，您不应依赖任何这些前瞻性声明。</p>
</div><p>Any forward-looking statement made by Classover in this press release is based only on information currently available to Classover and speaks only as of the date on which it is made. Classover undertakes no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.</p>
<div class="lb-trans"><p>Classover 在本新闻稿中所作的任何前瞻性声明仅基于 Classover 当前可获得的信息，并仅在作出声明的日期有效。Classover 没有义务公开更新任何前瞻性声明，无论是书面还是口头，可能会不时作出，无论是由于新信息、未来发展还是其他原因。</p>
</div><p><strong>Contacts</strong></p>
<div class="lb-trans"><p><strong>联系方式</strong></p>
</div><p>Classover Holdings Inc.</p>
<div class="lb-trans"><p>Classover Holdings Inc.</p>
</div><p>ir@classover.com</p>
<div class="lb-trans"><p>ir@classover.com</p>
</div><p>800-345-9588</p>
<div class="lb-trans"><p>800-345-9588</p>
</div><p><strong>SOURCE:</strong> Classover Holdings Inc.</p>
<div class="lb-trans"><p><strong>来源：</strong> Classover Holdings Inc.</p>
</div><p>View the original press release on ACCESS Newswire</p>
<div class="lb-trans"><p>查看 ACCESS Newswire 上的原始新闻稿</p>
</div>

Classover 推进下一代 AI 导师：实现大规模实时自适应 K-12 教学