人工智能赋能初中生数学个性化学习模式研究

Research on the Personalized Learning Mode of Junior High School Mathematics Empowered by Artificial Intelligence

摘要: 在智能技术与教育教学深度融合的背景下，依托Felder-Silverman学习风格模型开展学生学习风格的精准画像，同时将模型的四大维度与学习各阶段深度融合以形成“风格画像–阶段适配–精准赋能”的闭环实施路径，再结合生成式人工智能技术为不同学习风格的学生量身定制精准化的数学学习策略，最终探索出有效的中学生数学个性化学习模式。

Abstract: In the context of the in-depth integration of intelligent technologies and education and teaching, this study relies on the Felder-Silverman learning style model to create precise portraits of students’ learning styles. Meanwhile, it deeply integrates the four dimensions of the model with different stages of learning to form a closed-loop implementation path of “style profiling-stage adaptation-precise empowerment”. Furthermore, by combining generative artificial intelligence technology, it tailors precise mathematics learning strategies for students with different learning styles, ultimately exploring an effective personalized mathematics learning model for middle school students.