During recent years,some notions about tasks have been considered as the major part of analysis in different teaching approaches and teachers are being more interested in the use of taskbased approach both in foreign ...During recent years,some notions about tasks have been considered as the major part of analysis in different teaching approaches and teachers are being more interested in the use of taskbased approach both in foreign and in second language teaching.The main goal of this article is to introduce and discuss some major principles of task-based language teaching and indicates how teachers can apply them in their curriculum.展开更多
Blended teaching is one of the essential teaching methods with the development of information technology.Constructing a learning effect evaluation model is helpful to improve students’academic performance and helps t...Blended teaching is one of the essential teaching methods with the development of information technology.Constructing a learning effect evaluation model is helpful to improve students’academic performance and helps teachers to better implement course teaching.However,a lack of evaluation models for the fusion of temporal and non-temporal behavioral data leads to an unsatisfactory evaluation effect.To meet the demand for predicting students’academic performance through learning behavior data,this study proposes a learning effect evaluation method that integrates expert perspective indicators to predict academic performance by constructing a dual-stream network that combines temporal behavior data and non-temporal behavior data in the learning process.In this paper,firstly,the Delphi method is used to analyze and process the course learning behavior data of students and establish an effective evaluation index system of learning behavior with universality;secondly,the Mann-Whitney U-test and the complex correlation analysis are used to analyze further and validate the evaluation indexes;and lastly,a dual-stream information fusion model,which combines temporal and non-temporal features,is established.The learning effect evaluation model is built,and the results of the mean absolute error(MAE)and root mean square error(RMSE)indexes are 4.16 and 5.29,respectively.This study indicates that combining expert perspectives for evaluation index selection and further fusing temporal and non-temporal behavioral features that for learning effect evaluation and prediction is rationality,accuracy,and effectiveness,which provides a powerful help for the practical application of learning effect evaluation and prediction.展开更多
大语言模型(large language model,LLM)在一般性教学辅助、文科课程和计算机课程中得到成功应用,但应用于电力电子实验教学时存在电路拓扑图识别不准、关键信息缺失等问题。为此,该文提出基于智能插件和LLM的教学辅助设计方法:首先通过...大语言模型(large language model,LLM)在一般性教学辅助、文科课程和计算机课程中得到成功应用,但应用于电力电子实验教学时存在电路拓扑图识别不准、关键信息缺失等问题。为此,该文提出基于智能插件和LLM的教学辅助设计方法:首先通过深度学习模型实现电路拓扑图识别,并将其转换为电路网表文本;然后向LLM提供网表文本及不同提示词,引导LLM实现网表检查、电路分析、文档生成、知识问答等教学功能,为教师提供高质量的教学设计起点。该方法有望减轻教师负担,提高实验教学的时效性和教学质量,为电力电子实验教学设计提供一种有用工具。展开更多
文摘During recent years,some notions about tasks have been considered as the major part of analysis in different teaching approaches and teachers are being more interested in the use of taskbased approach both in foreign and in second language teaching.The main goal of this article is to introduce and discuss some major principles of task-based language teaching and indicates how teachers can apply them in their curriculum.
基金supported by the National Key R&D Program of China(2022YFB3203800)National Natural Science Foundation of China(62007026)+2 种基金National Young Talent Program,Shaanxi Young Top-notch Talent Program,Key Research and Development Program of Shaanxi(2022GY-313)Xi’an Science and Technology Project(23ZDCYJSGG0026-2023)the Fundamental Research Funds for Central Universities(ZYTS23192).
文摘Blended teaching is one of the essential teaching methods with the development of information technology.Constructing a learning effect evaluation model is helpful to improve students’academic performance and helps teachers to better implement course teaching.However,a lack of evaluation models for the fusion of temporal and non-temporal behavioral data leads to an unsatisfactory evaluation effect.To meet the demand for predicting students’academic performance through learning behavior data,this study proposes a learning effect evaluation method that integrates expert perspective indicators to predict academic performance by constructing a dual-stream network that combines temporal behavior data and non-temporal behavior data in the learning process.In this paper,firstly,the Delphi method is used to analyze and process the course learning behavior data of students and establish an effective evaluation index system of learning behavior with universality;secondly,the Mann-Whitney U-test and the complex correlation analysis are used to analyze further and validate the evaluation indexes;and lastly,a dual-stream information fusion model,which combines temporal and non-temporal features,is established.The learning effect evaluation model is built,and the results of the mean absolute error(MAE)and root mean square error(RMSE)indexes are 4.16 and 5.29,respectively.This study indicates that combining expert perspectives for evaluation index selection and further fusing temporal and non-temporal behavioral features that for learning effect evaluation and prediction is rationality,accuracy,and effectiveness,which provides a powerful help for the practical application of learning effect evaluation and prediction.
文摘大语言模型(large language model,LLM)在一般性教学辅助、文科课程和计算机课程中得到成功应用,但应用于电力电子实验教学时存在电路拓扑图识别不准、关键信息缺失等问题。为此,该文提出基于智能插件和LLM的教学辅助设计方法:首先通过深度学习模型实现电路拓扑图识别,并将其转换为电路网表文本;然后向LLM提供网表文本及不同提示词,引导LLM实现网表检查、电路分析、文档生成、知识问答等教学功能,为教师提供高质量的教学设计起点。该方法有望减轻教师负担,提高实验教学的时效性和教学质量,为电力电子实验教学设计提供一种有用工具。
