| 三M MAU | 一 可 | 24 | 火 产品正式开始研发 2025年 3月12日 近日，AI原生应用企业与爱为舞对外发布首个真人级AI"一对一"导师落地近一年"成绩单"。数据显示，真人级AI导师教出的首批AI学习"原住民"规模已达百 万级，学员持续学习达316天，单个学员最长学习记录达9000分钟，单次课最高互动达274次。 公开信息显示，与爱为舞成立于2023年5月，核心创始团队深耕AI技术与教育场景多年。今年2月份，公司发布旗下教育品牌"爱学"，是国内第一款大规模落 地的真人级AI"一对一"导师产品，面向全年龄段人群提供可持续陪伴学习服务。 来源：环球网 爱学App正式上线 AI导师Lucy开启服务 2025年 10月24日 终身学习体系上线 AI导师团集结 致力破解"不可能三角"，首个真人级AI导师交出亮眼成绩单 教育行业长期面临"大规模-高质量-低成本"不可能三角的约束。大班课虽然成本可控，却难以照顾到每个学生的个体差异；线下一对一教学针对性强，但难 以规模化推广，成本也更高。生成式AI技术的突破，为攻克这一难题带来了新可能。 "生成式AI出现后，有可能让服务业变成制造业，让每一个人都被立即关 ...

Core Insights - The article discusses the innovative AI tutoring product "AiXue," which utilizes a human-level AI tutor to enhance student engagement and learning outcomes, particularly for students who struggle with traditional classroom interactions [3][10][62] - The product has shown significant improvements in student performance, with one student increasing their math exam score by 40 points after using the AI tutor [2][4] Group 1: Product Overview - "AiXue" is a one-on-one AI tutoring application that has been used by over one million students within a year of its launch [3] - The app boasts a high course completion rate of 92.4%, with individual students logging up to 9000 minutes of learning [4] - The accuracy of answers in AI-led classes improved from 59.1% to 83.2% [5] Group 2: Market Context - The current AI education market is characterized by a reliance on large language models (LLMs) that often fail to provide meaningful educational interactions, primarily serving as advanced chatbots [8][10] - Many existing products in the market focus on rote learning and do not effectively engage students in a way that fosters understanding [9] Group 3: Technological Framework - The company has developed a comprehensive AI education framework that integrates digital personas, voice recognition, large models, and engineering to create a seamless learning experience [13] - The AI tutor is designed as a real-time teaching decision system, moving beyond simple Q&A interactions to a more dynamic educational process [21][22] Group 4: Data Utilization - The AI tutor's effectiveness is enhanced by a robust data ecosystem that captures real-time student interactions, allowing for continuous improvement of teaching strategies [27][33] - The system employs a self-play mechanism similar to AlphaGo to generate training samples, ensuring a diverse and rich dataset for model training [32] Group 5: Interaction and Engagement - The AI tutor is capable of maintaining high interaction frequency, with dozens of one-on-one interactions per class, significantly improving student attention [37] - The quality of interactions has led to an effective response rate of over 95% from students, indicating heightened engagement [38] Group 6: Technical Innovations - The AI tutor's speech recognition and synthesis capabilities have been significantly enhanced, achieving over 95% accuracy in understanding spoken language [41] - The system has been optimized for low latency, achieving response times of 1.0 to 1.6 seconds even under high concurrency conditions [54][60] Group 7: Educational Impact - The AI tutor has demonstrated the ability to personalize learning paths based on individual student needs, resulting in improved accuracy rates from below 60% to over 83% in some courses [38] - The product represents a new paradigm in education, where AI tutors can effectively engage with students in real-time, adapting to their unique learning requirements [62]