摘要
随着教育信息化的快速发展,针对传统课堂课后作业监控困难、辅导不及时、缺乏个性化教育等问题,本研究创新性地提出一种高效的智能教育辅助工具构造方法。该工具采用MEMS传感器结合Kalman滤波算法,更为精准的采集学生手部运动信息,通过多模数据的融合计算,实现了对学生笔迹的实时记录。可有效解决目前学生课后作业监控的难题。通过将分析学生学习数据训练出的人工智能结合语音识别技术,使学生可以通过即时对话的方式解决学习过程中遇到的难题,这可以为学生提供即时的教育辅导,提高学习效率。
With the rapid development of educational informatization,this study innovatively proposes an efficient artificial intelligence educational auxiliary tool to address the difficulties in monitoring traditional classroom homework,the lack of timely tutoring,and the absence of personalized education.The research employs MEMS sensors combined with Kalman filtering algorithms to more accurately collect students'hand movement information.Through the fusion and calculation of multi-modal data,the tool achieves real-time recording of students'handwriting,effectively solving the current challenges in monitoring students'homework.By integrating artificial intelligence trained on analyzing students'learning data with voice recognition technology,students can resolve difficulties encountered during the learning process through immediate dialogue.This provides students with timely educational tutoring and enhances learning efficiency.
作者
胡罡源
刘天琪
顾照宏
杨宇
邓俊文
Hu Gangyuan;Liu Tianqi;Gu Zhaohong;Yang Yu;Deng Junwen(School of Artificial Intelligence and Software,JiangSu Normal University KeWen College,Xuzhou,China)
出处
《科学技术创新》
2025年第7期76-79,共4页
Scientific and Technological Innovation
基金
江苏省·大学生创新创业项目“‘语迹云墨’:一种基于人工智能的教育辅助工具”(项目编号:202413988015Y)。
关键词
人工智能
卡尔曼滤波
笔迹识别
语音识别
artificial intelligence
Kalman filtering
handwriting recognition
speech recognition
