Prior studies have shown the importance of classroom dialogue in academic performance,through which knowledge construction and social interaction among students take place.However,most of them were based on small scal...Prior studies have shown the importance of classroom dialogue in academic performance,through which knowledge construction and social interaction among students take place.However,most of them were based on small scale or qualitative data,and few has explored the availability and potential of big data collected from online classrooms.To address this issue,this paper analyzes dialogues in live classrooms of a large online learning platform in China based on natural language processing techniques.The features of interactive types and emotional expression are extracted from classroom dialogues.We then develop neural network models based on these features to predict high-and low-academic performing students,and employ interpretable AI(artificial intelligence)techniques to determine the most important predictors in the prediction models.In both STEM(science,technology,engineering,mathematics)and non-STEM courses,it is found that high-performing students consistently exhibit more positive emotion,cognition and off-topic dialogues in all stages of the lesson than low-performing students.However,while the metacognitive dialogue illustrates its importance in non-STEM courses,this effect cannot be found in STEM courses.While high-performing students in non-STEM courses show negative emotion in the last stage of lessons,STEM students show positive emotion.展开更多
How can we make it possible for instructors and students from different countries and regions to meet"face-to-face"and experience live teaching and learning?The most economic and efficient solution is the&qu...How can we make it possible for instructors and students from different countries and regions to meet"face-to-face"and experience live teaching and learning?The most economic and efficient solution is the"live global classroom".This paper provides an example of the live global classroom approach conducted cooperatively by the American Alliance for International Education and the University of Science and Technology Beijing,which was aimed at educating undergraduate engineering students over the Internet.In this paper,we introduce the background for the live global classroom,the demands of the"Plan for Educating and Training Outstanding Engineers"in China,the operational model,the technical requirements for the project and its current organizational challenges.Internationalized e-learning is expected to lead the trend of remote teaching,not only in language learning but also in engineer educating in China.展开更多
基金This work was supported by the Center for Social Network Research of Tsinghua University,Tsinghua’s Research Project(No.2016THZWYY03)the Project of Tencent Social Research Center(No.20162001703).
文摘Prior studies have shown the importance of classroom dialogue in academic performance,through which knowledge construction and social interaction among students take place.However,most of them were based on small scale or qualitative data,and few has explored the availability and potential of big data collected from online classrooms.To address this issue,this paper analyzes dialogues in live classrooms of a large online learning platform in China based on natural language processing techniques.The features of interactive types and emotional expression are extracted from classroom dialogues.We then develop neural network models based on these features to predict high-and low-academic performing students,and employ interpretable AI(artificial intelligence)techniques to determine the most important predictors in the prediction models.In both STEM(science,technology,engineering,mathematics)and non-STEM courses,it is found that high-performing students consistently exhibit more positive emotion,cognition and off-topic dialogues in all stages of the lesson than low-performing students.However,while the metacognitive dialogue illustrates its importance in non-STEM courses,this effect cannot be found in STEM courses.While high-performing students in non-STEM courses show negative emotion in the last stage of lessons,STEM students show positive emotion.
文摘How can we make it possible for instructors and students from different countries and regions to meet"face-to-face"and experience live teaching and learning?The most economic and efficient solution is the"live global classroom".This paper provides an example of the live global classroom approach conducted cooperatively by the American Alliance for International Education and the University of Science and Technology Beijing,which was aimed at educating undergraduate engineering students over the Internet.In this paper,we introduce the background for the live global classroom,the demands of the"Plan for Educating and Training Outstanding Engineers"in China,the operational model,the technical requirements for the project and its current organizational challenges.Internationalized e-learning is expected to lead the trend of remote teaching,not only in language learning but also in engineer educating in China.
