To address the problems of insufficient number of personalized exercises and cases and teachers’lack of grasp of students’weak knowledge points in the current software testing online courses,we study the strategy of...To address the problems of insufficient number of personalized exercises and cases and teachers’lack of grasp of students’weak knowledge points in the current software testing online courses,we study the strategy of establishing and updating intelligent exercise sets and case libraries and analyze the answers and dig out the weak points of knowledge through group intelligence reasoning and interactive machine learning methods.This will help teachers to make uniform and targeted explanations,reduce manual judgment,and achieve intelligent teaching quality reform,and implement the educational concepts of“keeping up with the times”and“teaching according to students’abilities”.展开更多
In this paper,we propose an iterative,problem-and task-driven refined classroom management method for informatization teaching,dubbed Rcm2IT,based on data analysis of students’learning process.More specifically,Rcm2I...In this paper,we propose an iterative,problem-and task-driven refined classroom management method for informatization teaching,dubbed Rcm2IT,based on data analysis of students’learning process.More specifically,Rcm2IT firstly classifies the teaching resources and elements in the unit of classroom sections,and designs the corresponding fine-grained templates and examples of teaching elements.Meanwhile,Rcm2IT divides students into different levels according to their previous classroom performance,and teaches students at different levels according to their aptitude.Finally,we implement the refined classroom management and assessment of students’learning process via our customized precise micro classroom platform(PMcP)based on the previous two stages.The designed PMcP can carry out real-time analysis and teaching evaluation,objectively and accurately measure and feedback the students’learning results,further iteratively optimize the teaching objectives.The course practice in“digital image processing”shows that Rcm2IT can not only support teachers to dynamically adjust the teaching content,but also teach students according to their aptitude,and improve the teaching quality and efficiency.展开更多
文摘To address the problems of insufficient number of personalized exercises and cases and teachers’lack of grasp of students’weak knowledge points in the current software testing online courses,we study the strategy of establishing and updating intelligent exercise sets and case libraries and analyze the answers and dig out the weak points of knowledge through group intelligence reasoning and interactive machine learning methods.This will help teachers to make uniform and targeted explanations,reduce manual judgment,and achieve intelligent teaching quality reform,and implement the educational concepts of“keeping up with the times”and“teaching according to students’abilities”.
基金Foundation under Grant 22GH010616,the Shaanxi Higher Education Teaching Reform Research Project under Grant 21BY012,and the Shaanxi Province Virtual Teaching and Research Office Pilot Construction Project.
文摘In this paper,we propose an iterative,problem-and task-driven refined classroom management method for informatization teaching,dubbed Rcm2IT,based on data analysis of students’learning process.More specifically,Rcm2IT firstly classifies the teaching resources and elements in the unit of classroom sections,and designs the corresponding fine-grained templates and examples of teaching elements.Meanwhile,Rcm2IT divides students into different levels according to their previous classroom performance,and teaches students at different levels according to their aptitude.Finally,we implement the refined classroom management and assessment of students’learning process via our customized precise micro classroom platform(PMcP)based on the previous two stages.The designed PMcP can carry out real-time analysis and teaching evaluation,objectively and accurately measure and feedback the students’learning results,further iteratively optimize the teaching objectives.The course practice in“digital image processing”shows that Rcm2IT can not only support teachers to dynamically adjust the teaching content,but also teach students according to their aptitude,and improve the teaching quality and efficiency.
