【作者】 叶晨； 王晓国； 王利；

【Author】 YE Chen;WANG Xiaoguo;WANG Li;National Computer and Information Technology Practical Education Demonstration Center Tongji University;Department of Computer Science and Technology Tongji University;

【机构】 同济大学国家级计算机与信息技术实验教学示范中心； 同济大学计算机科学与技术系；

【摘要】 以学生成长为中心,数据赋能为导向,强化实践为核心,基于知识图谱构建了个性化的智能导学实验教学平台。从培养学生的学习兴趣入手,引导学生课外自主实验和参与学科竞赛,逐步提升编程解决问题的能力。以"数据结构"课内实验为例,依托实验教学平台的数据统计和可视化分析,助力教师找准薄弱环节,以学定教,课内给予学生精确"补给"。实践表明,该智能导学平台有效拓展了教学的时间和空间,以及时、客观的评价方式,激发了学生的学习热情,由浅入深地引向层次化和个性化学习,促进了实验教学质量的提高。更多还原

【Abstract】 Taking student-growth as the center,data empowerment as the guide,and strengthening practice as the core,a personalized intelligent tutoring experimental teaching platform is constructed based on the Knowledge Graph.It starts with cultivating students’ interest in learning,guiding students to experiment independent and participating in competitions,and gradually enhance their ability of using data to solve problems.Take the "Data Structure" in-class experiment as an example,relying on the data statistics and visual analysis of the platform,teachers can identify the weak points of teaching,and provide students with accurate "supply" in class.Practice has proved that the intelligent tutoring platform effectively expands the time and space of teaching,provides timely and objective evaluation,stimulates students’ enthusiasm for learning,and leads to hierarchical and personalized learning from the shallower to the deeper,and promotes the improvement of the quality of experimental teaching.更多还原