松鼠Ai成功挑战“最多人参与的AI与传统教学差异化实验”吉尼斯世界纪录™称号

Group 1 - The core achievement of Squirrel AI is the successful challenge of the Guinness World Record for the "Most Participants in an AI vs. Traditional Teaching Differentiation Experiment," which was certified on December 15, 2025 [1][3] - The experiment involved 1,662 students from five schools in grades six and seven, demonstrating that the Squirrel AI adaptive system outperformed traditional teaching methods in various metrics [1][3] - The experiment's design and execution adhered to rigorous standards set by Guinness, ensuring the validity and reliability of the data collected [3] Group 2 - Data from the independent report by iResearch showed that the Squirrel AI group had higher average scores and better performance metrics compared to the traditional teaching group [4][5] - In sixth grade, the Squirrel AI group achieved an average score of 87.58, with an excellent rate of 67.61% and a pass rate of 96.48%, significantly outperforming the traditional group [4] - In seventh grade, the Squirrel AI group scored an average of 92.91, with an excellent rate of 49.95% and a pass rate of 81.22%, again surpassing the traditional group [5] Group 3 - The Squirrel AI adaptive education model utilizes a multi-modal approach, integrating text, images, and voice to understand learners' knowledge states and emotional conditions [8] - The system provides personalized learning paths and content recommendations based on extensive analysis of learning behavior data, enhancing individual learning experiences [8][9] - The experiment highlighted the potential of AI technology to improve educational efficiency and promote equitable education through tailored instruction for diverse student groups [9] Group 4 - The successful Guinness World Record challenge and the empirical research validate the effectiveness of the Squirrel AI adaptive education system, marking a significant step in the integration of AI in education [9] - The initiative reflects a comprehensive framework that encompasses technology development, application scenarios, and effect verification, contributing to the future of personalized and high-quality education [9]