Core Viewpoint - The article discusses the transformative potential of AI, particularly large models, in the field of language education, emphasizing the need for personalized and interactive learning experiences to address the shortcomings of traditional methods [3][5][19]. Group 1: Challenges in Traditional Education - Both Steve Jobs and Bill Gates noted that technology has not significantly improved education, particularly in providing personalized courses and feedback [3]. - Language acquisition should be a natural process, but current methods focus on learning, leading to a lack of practical language use [4]. - The mismatch between the high demand for spoken language education and the limited availability of affordable one-on-one teaching has resulted in stagnation in learners' speaking abilities [5][6]. Group 2: Emergence of AI in Language Learning - The introduction of large models offers a potential solution to the supply-demand mismatch in spoken language education by providing personalized interaction and immediate feedback [5][6]. - Many AI language products have emerged, but they often lack the ideal educational framework, focusing more on tool-like functionalities rather than comprehensive learning experiences [6][8]. - The need for a new type of AI educational product that can actively guide learners through a complete teaching cycle is highlighted [8][9]. Group 3: Zebra's AI Language Product - Zebra's new product, Zebra Speaking, is positioned as the first AI educational agent capable of completing a teaching cycle autonomously [9][11]. - The product is designed for children aged 6-12 and incorporates interactive elements to enhance engagement and learning outcomes [11][12]. - The AI teacher, Jessica, utilizes child psychology principles to encourage active participation and ensure that learners engage with the material effectively [11][12]. Group 4: Development and Challenges of AI Education Products - The development of Zebra Speaking involved extensive data collection and a dedicated team to ensure the product meets educational needs while leveraging AI capabilities [13][14]. - Balancing control and flexibility in the AI model is crucial to maintain effective teaching while allowing for adaptive responses to learners [14][15]. - The product aims to achieve high reliability in educational outcomes, with significant investment in development to ensure quality [18][19]. Group 5: Future of AI in Education - The emergence of leading AI agents in education is expected to fundamentally reshape the market, particularly in spoken language teaching [17][19]. - The article concludes that while AI has the potential to match or exceed human teaching capabilities, the journey to fully realize this potential is ongoing and complex [19].