基于雨课堂和AI助手的统计实验翻转课堂模式研究

Research on the Flipped Classroom Model for Statistics Experiments Based on Rain Classroom and AI Assistants

摘要: 在统计学领域，统计软件的应用能力是学生不可或缺的关键素质。然而，当前统计软件实验课多采用传统教学模式，课堂时间常被教师讲授占据，导致学生实际操作统计软件的时间有限。因此，本研究设计并实施了一种基于雨课堂和AI助手的翻转课堂教学模式。实践表明，雨课堂平台的引入有效解决了翻转课堂应用中学生学习主动性不足和互动交流缺乏等问题，为学生的课前自主学习、实验教学以及师生间的沟通提供了一个高效的平台。AI助手则可承担“24小时助教”角色，提高学生学习效率，同时，翻转课堂模式的课堂活动也能有效避免学生过度依赖AI助手而缺乏自我思考。总体而言，这种教学模式在培养学生的自主学习能力和创新实践技能方面取得了显著成效，对实验教学改革具有重要的参考价值。

Abstract: The ability to use statistical software is an essential skill for students majoring in statistics. However, traditional teaching methods, where classroom time is predominantly occupied by lectures, limit students’ hands-on practice with software. To address this, this study designed and implemented a flipped classroom teaching model integrating Rain Classroom and AI assistants. Practice has shown that the Rain Classroom has tackled challenges such as low self-motivation and limited interaction by providing a platform for pre-class autonomous learning, laboratory exercises, and teacher-student communication. Meanwhile, the AI assistant, serving as a 24-hour teaching assistant, has improved learning efficiency through instant problem-solving. At the same time, in-class activities in the flipped classroom model can prevent students from becoming overly reliant on the AI assistant. Overall, this model has demonstrated effectiveness in cultivating autonomous learning and innovative practice skills, providing a valuable reference for reforming experimental teaching in statistics and related fields.