This article aims to explore the development and application of AI-based interactive exhibits in Wuhan Museum of Science and Technology.By utilizing computer vision,natural language processing,and machine learning tec...This article aims to explore the development and application of AI-based interactive exhibits in Wuhan Museum of Science and Technology.By utilizing computer vision,natural language processing,and machine learning technologies,an innovative exhibit development and application system is proposed.This system employs deep learning algorithms and data analysis methods to achieve real-time perception of visitor behavior and adaptive interaction.The development process involves designing user interfaces and interaction methods to effectively enhance visitor engagement and learning outcomes.Through evaluation and comparison in practical applications,the potential of this system in enhancing exhibit interaction,increasing visitor engagement,improving educational effectiveness,and expanding avenues for scientific knowledge dissemination are validated.展开更多
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
Elaborate explanations of word definitions and word distinctions are the usual practice in reading class in China. This paper proposes a 3P method in vocabulary learning and teaching which includes vocabulary preview,...Elaborate explanations of word definitions and word distinctions are the usual practice in reading class in China. This paper proposes a 3P method in vocabulary learning and teaching which includes vocabulary preview, vocabulary processing, and vocabulary practice, aiming for a better knowledge of vocabulary and a better comprehension of the text.展开更多
The paper sets foot on current situation of Chinese engineering talents cultivation and management,analyses the emerging new features and problems in the process of cultivating reformation,and brings forward an improv...The paper sets foot on current situation of Chinese engineering talents cultivation and management,analyses the emerging new features and problems in the process of cultivating reformation,and brings forward an improvement on talent cultivation pattern based on informationization system and work flow.Bring the data processing and interactive teaching into the cultivation pattern.The project has put into effect and achieved a prominent result.展开更多
文摘This article aims to explore the development and application of AI-based interactive exhibits in Wuhan Museum of Science and Technology.By utilizing computer vision,natural language processing,and machine learning technologies,an innovative exhibit development and application system is proposed.This system employs deep learning algorithms and data analysis methods to achieve real-time perception of visitor behavior and adaptive interaction.The development process involves designing user interfaces and interaction methods to effectively enhance visitor engagement and learning outcomes.Through evaluation and comparison in practical applications,the potential of this system in enhancing exhibit interaction,increasing visitor engagement,improving educational effectiveness,and expanding avenues for scientific knowledge dissemination are validated.
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Elaborate explanations of word definitions and word distinctions are the usual practice in reading class in China. This paper proposes a 3P method in vocabulary learning and teaching which includes vocabulary preview, vocabulary processing, and vocabulary practice, aiming for a better knowledge of vocabulary and a better comprehension of the text.
文摘The paper sets foot on current situation of Chinese engineering talents cultivation and management,analyses the emerging new features and problems in the process of cultivating reformation,and brings forward an improvement on talent cultivation pattern based on informationization system and work flow.Bring the data processing and interactive teaching into the cultivation pattern.The project has put into effect and achieved a prominent result.
