基于原子经济智能性的教学干预模型设计与实施策略

Design and Implementation Strategy of Teaching Intervention Model Based on the AI of Atom Economy

原子经济律是以提高目标转化效率为目的的绿色化学概念,将其融入人工智能教学平台,能够降低技术应用成本、提高教学干预效果。基于原子经济智能性的教学干预解决了三个问题:教学干预的真实落地问题、分析方法双重短板问题、学生分层的教育误判问题。基于原子经济智能性的教学干预模型包含三个阶段:数据收集阶段,将物联设备、虚拟系统、多点式场景数据进行整合,实现多模态数据统整;智能分析阶段,将人工智能算法与学生网络痕迹进行联系,实现关联性简易算法的应用;教学干预阶段,将多模态统整数据与关联性智能分析结果应用于学生群体干预、小组干预、个体干预的学生分层,实现三重过滤的教学干预。基于原子经济智能性的教学干预模型的实施策略是:设置实现高原子经济转化率的教学目标;培养具有原子经济意识的信息化管理者;构建贯彻原子经济原则的教学管理机制;模型应用与学生学习过程相结合;构建协同实施原子经济智能系统的学校共同体。

Atom Economy Rules(AER)is a green chemistry concept to improve the efficiency of chemical reaction transformation.Integrating this conception into artificial intelligence(AI)teaching platform can reduce the application cost and improve effective intervention.The teaching intervention model based on AER can solve three problems,which are the actual application problem of teaching intervention,the double shortboard problem of the analysis method,and the educational problem of students’stratification.The teaching intervention model based on AER includes three stages:the first is data collection stage,by integrating the data of internet of things,virtual system and multi-point to fulfill multimodal data integration;the second is intelligent analysis stage,by linking AI algorithm with student’s traces of network behavior to fulfill the application of simple relative algorithm;the third is teaching intervention stage,by applying the results of multimodal data and relative algorithm into student’s hierarchical intervention process to fulfill triple filter teaching intervention.Finally,The model based on the AI of atom economy implementation strategies have been put forward:Setting up the teaching goal of realizing the high conversion rate of AER;Training the information-based managers with the awareness of AER;Building the teaching management mechanism of implementing the principles of AER;Combining the application of the AER model with the students’learning process;Building the school community that cooperatively implements the intelligent system of AER.