As an important branch of natural language processing,sentiment analysis has received increasing attention.In teaching evaluation,sentiment analysis can help educators discover the true feelings of students about the ...As an important branch of natural language processing,sentiment analysis has received increasing attention.In teaching evaluation,sentiment analysis can help educators discover the true feelings of students about the course in a timely manner and adjust the teaching plan accurately and timely to improve the quality of education and teaching.Aiming at the inefficiency and heavy workload of college curriculum evaluation methods,a Multi-Attention Fusion Modeling(Multi-AFM)is proposed,which integrates global attention and local attention through gating unit control to generate a reasonable contextual representation and achieve improved classification results.Experimental results show that the Multi-AFM model performs better than the existing methods in the application of education and other fields.展开更多
In response to the limitations of the traditional education and teaching model,this article proposes a smart education model based on ChatGPT.The model actively breaks the constraint of time and space and the design p...In response to the limitations of the traditional education and teaching model,this article proposes a smart education model based on ChatGPT.The model actively breaks the constraint of time and space and the design patterns of traditional education,providing smart education services including personalized learning,smart tutoring and evaluation,educational content creation support,and education big data analysis.Through constructing an open and inclusive learning space and creating flexible and diverse educational models,ChatGPT can help to meet students’individuality and overall development,as well as assist teachers in keeping up with the students’learning performance and developmental requirements in real-time.This provides an important basis for optimizing teaching content,offering personalized and accurate cultivation,and planning the development path of students.展开更多
基金partially supported by the National Natural Science Foundation of China(No.61976247)Southwest Jiaotong University Education Reform Project(No.20201010)
文摘As an important branch of natural language processing,sentiment analysis has received increasing attention.In teaching evaluation,sentiment analysis can help educators discover the true feelings of students about the course in a timely manner and adjust the teaching plan accurately and timely to improve the quality of education and teaching.Aiming at the inefficiency and heavy workload of college curriculum evaluation methods,a Multi-Attention Fusion Modeling(Multi-AFM)is proposed,which integrates global attention and local attention through gating unit control to generate a reasonable contextual representation and achieve improved classification results.Experimental results show that the Multi-AFM model performs better than the existing methods in the application of education and other fields.
基金Ministry of Education of New Engineering Project Research and Practice(No.E-AQGABQ20202704)Undergraduate Teaching Reform and Innovation Project of Beijing Higher Education(No.202110018002)+3 种基金First-Class Discipline Construction Project of Beijing Electronic Science and Technology Institute(No.20210064Z0401,No.20210056Z0402)Fundamental Research Funds for the Central Universities(No.328202205,No.328202271,No.328202269)Research on Graphical Development Platform of Reconfigurable Cryptographic Chip Based on Model Driven(No.20220153Z0114)National Key Research and Development Program Funded Project(No.2017YFB0801803)。
文摘In response to the limitations of the traditional education and teaching model,this article proposes a smart education model based on ChatGPT.The model actively breaks the constraint of time and space and the design patterns of traditional education,providing smart education services including personalized learning,smart tutoring and evaluation,educational content creation support,and education big data analysis.Through constructing an open and inclusive learning space and creating flexible and diverse educational models,ChatGPT can help to meet students’individuality and overall development,as well as assist teachers in keeping up with the students’learning performance and developmental requirements in real-time.This provides an important basis for optimizing teaching content,offering personalized and accurate cultivation,and planning the development path of students.
