Due to the outbreak of the Covid-19 in 2020,online education has become the mainstream.After the epidemic,the blending learning mode has also become a key goal of the teaching reform of colleges and universities,and t...Due to the outbreak of the Covid-19 in 2020,online education has become the mainstream.After the epidemic,the blending learning mode has also become a key goal of the teaching reform of colleges and universities,and the blending learning mode of various courses has blossomed everywhere.In this context,this paper used the Econometrics course as the carrier,analyzed the many unreasonable problems in the traditional Econometrics course,and proposed an optimization plan and path for the blending learning mode to address these problems.展开更多
In order to provide channels of human resource management in promoting organizational learning,structural equation models were used for identifying the differences in the coupling dimensions between human resource arc...In order to provide channels of human resource management in promoting organizational learning,structural equation models were used for identifying the differences in the coupling dimensions between human resource archetypes and organizational learning modes based on sample data of 219 manufacturing firms with more than 100 employees.It is found that the coupling of the cooperative human resource archetype and exploitative learning is reflected in the mechanistic structure dimension;the coupling of the cooperative human resource archetype and exploratory learning is reflected in the two dimensions of the mechanistic structure and specialist cognition;the coupling of the entrepreneurial human resource archetype and exploitative learning is reflected in the two dimensions of generalist cognition and cognitive trust;the coupling of the entrepreneurial human resource archetype and exploratory learning is reflected in the dimension of generalist cognition.When manufacturing firms pursue exploitative learning,it is suggested that they pay attention to the structure dimension management of the collaborative human resource archetype and the cognition and affect dimensions management of the entrepreneurial human resource archetype.When manufacturing firms pursue exploratory learning,it is suggested pay attention to the structure and cognition dimensions management of the collaborative human resource archetype and the cognition dimension management of the entrepreneurial human resource archetype.展开更多
With the deepening of exchanges between China and other countries,especially the proposal of the Belt and Road Initiative,more and more foreign students come to China to study,putting forward higher requirements for t...With the deepening of exchanges between China and other countries,especially the proposal of the Belt and Road Initiative,more and more foreign students come to China to study,putting forward higher requirements for the education and management of colleges and universities in China.In the process of implementing the strategy of"one belt and one road",language interaction is the basic prerequisite for achieving exchanges and cooperation among different countries.In the face of this situation,by analyzing the existing problems in the training of overseas students in higher vocational colleges in China under the background of"One Belt and One Road"strategy,in this paper,the construction of the Chinese learning mode for overseas students in higher vocational colleges was put forward,hoping to provide help for the training of overseas students and solve the problem of foreign students'language learning.展开更多
Purpose-In order to prevent accidents during driving,driver drowsiness detection systems have become a hot topic for researchers.There are various types of features that can be used to detect drowsiness.Detection can ...Purpose-In order to prevent accidents during driving,driver drowsiness detection systems have become a hot topic for researchers.There are various types of features that can be used to detect drowsiness.Detection can be done by utilizing behavioral data,physiological measurements and vehicle-based data.The existing deep convolutional neural network(CNN)models-based ensemble approach analyzed the behavioral data comprises eye or face or head movement captured by using a camera images or videos.However,the developed model suffered from the limitation of high computational cost because of the application of approximately 140million parameters.Design/methodology/approach-The proposed model uses significant feature parameters from the feature extraction process such as ReliefF,Infinite,Correlation,Term Variance are used for feature selection.The features that are selected are undergone for classification using ensemble classifier.Findings-The output of these models is classified into non-drowsiness or drowsiness categories.Research limitations/implications-In this research work higher end camera are required to collect videos as it is cost-effective.Therefore,researches are encouraged to use the existing datasets.Practical implications-This paper overcomes the earlier approach.The developed model used complex deep learning models on small dataset which would also extract additional features,thereby provided a more satisfying result.Originality/value-Drowsiness can be detected at the earliest using ensemble model which restricts the number of accidents.展开更多
In this paper, we conduct research on the novel English education mode based on feedback learning and interactive teaching method. Business English, which is based on general English, from the angle of English languag...In this paper, we conduct research on the novel English education mode based on feedback learning and interactive teaching method. Business English, which is based on general English, from the angle of English language features of text represents connotation of business English vocabulary expressed more, word ambiguity phenomenon is relatively common, meaning and pragmatic choice depends on the context. Our research starts from the analysis of the novel education pattern with the feedback learning and interactive teaching integration. Our education mode will let the students and the teachers interact with others and encourage the better participation passion that is meaningful.展开更多
In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning...In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning approaches.On the online teaching platform,students mainly learn knowledge-based content by self-directed learning,while practising their language skills by cooperative learning in flipped classroom activities.On one hand,it advocates student-centered strategy so as to improve students autonomous learning ability;on the other hand,teachers serve as a guide to organize the classroom activities;meanwhile,they give timely feedback to students in order to promote students’learning ability.In blended teaching model,this mutually compatible and reinforcing model of self-directed learning and cooperative learning is undoubtedly helpful to improve the teaching efficiency.展开更多
Cultivating the top-notch innovative talents is an essential task for connotative construction of higher education.As an applicationoriented discipline,the Discipline of Food Science and Engineering attaches great imp...Cultivating the top-notch innovative talents is an essential task for connotative construction of higher education.As an applicationoriented discipline,the Discipline of Food Science and Engineering attaches great importance to the cultivation of innovation ability of college students.For a long time,however,the discipline education has problems of the inverted teaching subject position,weak coordination ability and single practice mode.The support for the cultivation of innovation ability is weak and ineffective.Therefore,in the context of professional certification of engineering education,it is necessary to make reform of traditional education mode and improve the carrier support and target acquisition taking the Outcomes-based Education(OBE)as guide,the innovation ability cultivation as objective,to provide effective guarantee for cultivation of the top-notch talents.These have become issues that should not be ignored in the development of the Discipline of Food Science and Engineering.展开更多
Multi-label learning is an effective framework for learning with objects that have multiple semantic labels, and has been successfully applied into many real-world tasks, In contrast with traditional single-label lear...Multi-label learning is an effective framework for learning with objects that have multiple semantic labels, and has been successfully applied into many real-world tasks, In contrast with traditional single-label learning, the cost of la- beling a multi-label example is rather high, thus it becomes an important task to train an effective multi-label learning model with as few labeled examples as possible. Active learning, which actively selects the most valuable data to query their labels, is the most important approach to reduce labeling cost. In this paper, we propose a novel approach MADM for batch mode multi-label active learning. On one hand, MADM exploits representativeness and diversity in both the feature and label space by matching the distribution between labeled and unlabeled data. On the other hand, it tends to query predicted positive instances, which are expected to be more informative than negative ones. Experiments on benchmark datasets demonstrate that the proposed approach can reduce the labeling cost significantly.展开更多
Purpose:Amidst ongoing attempts to think beyondWestern frameworks for education,there is a tendency to overlook Japan,perhaps because it appears highly modern.This is striking given that some prominent strands of Japa...Purpose:Amidst ongoing attempts to think beyondWestern frameworks for education,there is a tendency to overlook Japan,perhaps because it appears highly modern.This is striking given that some prominent strands of Japanese philosophy have formulated an explicit and exacting challenge to the core onto-epistemic premises of modern Western thought.It is also surprising because Japanese educational practices have resulted in some of the highest achievement outcomes—both cognitive and noncognitive—found anywhere in the world and inculcate a worldview that is distinct.Design/Approach/Methods:Herein,we thus attempt to make visible the potential contribution of modern Japanese philosophy by outlining some of the core ideas,then turn to sketch resonances with and responses to other projects outlined in this Special Issue.Our approach is elucidation through relational comparison.Findings:Through this process,we suggest that the notion of self-negation as a mode of learning may be helpful in explaining why—at the empirical level—the outlook of Japanese students,and perhaps other East Asian students,diverge markedly from their Western peers.Yet we also find that an attempt,such as ours,to link divergent onto-epistemic thought to alternative empirical hypotheses quickly gives rise to various doubts and discomforts,even among otherwise sympathetic scholars.Originality/Value:In directly responding to these doubts,one original contribution of our piece is to show just how difficult it may ultimately be to divest from the symbolic foundations already laid by Western liberalism:Even if divergent thought can be imagined and different cultural narratives explored,dominant readings of empirical“realities”continue to be entrapped in the logic laid by Western liberalism.展开更多
基金The 2019 Ministry of Education industry-university cooperation collaborative education project"Research on the Construction of Economics and Management Professional Data Analysis Laboratory"(Project number:201902077020).
文摘Due to the outbreak of the Covid-19 in 2020,online education has become the mainstream.After the epidemic,the blending learning mode has also become a key goal of the teaching reform of colleges and universities,and the blending learning mode of various courses has blossomed everywhere.In this context,this paper used the Econometrics course as the carrier,analyzed the many unreasonable problems in the traditional Econometrics course,and proposed an optimization plan and path for the blending learning mode to address these problems.
基金The National Natural Science Foundation of China(No.71764015).
文摘In order to provide channels of human resource management in promoting organizational learning,structural equation models were used for identifying the differences in the coupling dimensions between human resource archetypes and organizational learning modes based on sample data of 219 manufacturing firms with more than 100 employees.It is found that the coupling of the cooperative human resource archetype and exploitative learning is reflected in the mechanistic structure dimension;the coupling of the cooperative human resource archetype and exploratory learning is reflected in the two dimensions of the mechanistic structure and specialist cognition;the coupling of the entrepreneurial human resource archetype and exploitative learning is reflected in the two dimensions of generalist cognition and cognitive trust;the coupling of the entrepreneurial human resource archetype and exploratory learning is reflected in the dimension of generalist cognition.When manufacturing firms pursue exploitative learning,it is suggested that they pay attention to the structure dimension management of the collaborative human resource archetype and the cognition and affect dimensions management of the entrepreneurial human resource archetype.When manufacturing firms pursue exploratory learning,it is suggested pay attention to the structure and cognition dimensions management of the collaborative human resource archetype and the cognition dimension management of the entrepreneurial human resource archetype.
文摘With the deepening of exchanges between China and other countries,especially the proposal of the Belt and Road Initiative,more and more foreign students come to China to study,putting forward higher requirements for the education and management of colleges and universities in China.In the process of implementing the strategy of"one belt and one road",language interaction is the basic prerequisite for achieving exchanges and cooperation among different countries.In the face of this situation,by analyzing the existing problems in the training of overseas students in higher vocational colleges in China under the background of"One Belt and One Road"strategy,in this paper,the construction of the Chinese learning mode for overseas students in higher vocational colleges was put forward,hoping to provide help for the training of overseas students and solve the problem of foreign students'language learning.
文摘Purpose-In order to prevent accidents during driving,driver drowsiness detection systems have become a hot topic for researchers.There are various types of features that can be used to detect drowsiness.Detection can be done by utilizing behavioral data,physiological measurements and vehicle-based data.The existing deep convolutional neural network(CNN)models-based ensemble approach analyzed the behavioral data comprises eye or face or head movement captured by using a camera images or videos.However,the developed model suffered from the limitation of high computational cost because of the application of approximately 140million parameters.Design/methodology/approach-The proposed model uses significant feature parameters from the feature extraction process such as ReliefF,Infinite,Correlation,Term Variance are used for feature selection.The features that are selected are undergone for classification using ensemble classifier.Findings-The output of these models is classified into non-drowsiness or drowsiness categories.Research limitations/implications-In this research work higher end camera are required to collect videos as it is cost-effective.Therefore,researches are encouraged to use the existing datasets.Practical implications-This paper overcomes the earlier approach.The developed model used complex deep learning models on small dataset which would also extract additional features,thereby provided a more satisfying result.Originality/value-Drowsiness can be detected at the earliest using ensemble model which restricts the number of accidents.
文摘In this paper, we conduct research on the novel English education mode based on feedback learning and interactive teaching method. Business English, which is based on general English, from the angle of English language features of text represents connotation of business English vocabulary expressed more, word ambiguity phenomenon is relatively common, meaning and pragmatic choice depends on the context. Our research starts from the analysis of the novel education pattern with the feedback learning and interactive teaching integration. Our education mode will let the students and the teachers interact with others and encourage the better participation passion that is meaningful.
文摘In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning approaches.On the online teaching platform,students mainly learn knowledge-based content by self-directed learning,while practising their language skills by cooperative learning in flipped classroom activities.On one hand,it advocates student-centered strategy so as to improve students autonomous learning ability;on the other hand,teachers serve as a guide to organize the classroom activities;meanwhile,they give timely feedback to students in order to promote students’learning ability.In blended teaching model,this mutually compatible and reinforcing model of self-directed learning and cooperative learning is undoubtedly helpful to improve the teaching efficiency.
基金Supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)
文摘Cultivating the top-notch innovative talents is an essential task for connotative construction of higher education.As an applicationoriented discipline,the Discipline of Food Science and Engineering attaches great importance to the cultivation of innovation ability of college students.For a long time,however,the discipline education has problems of the inverted teaching subject position,weak coordination ability and single practice mode.The support for the cultivation of innovation ability is weak and ineffective.Therefore,in the context of professional certification of engineering education,it is necessary to make reform of traditional education mode and improve the carrier support and target acquisition taking the Outcomes-based Education(OBE)as guide,the innovation ability cultivation as objective,to provide effective guarantee for cultivation of the top-notch talents.These have become issues that should not be ignored in the development of the Discipline of Food Science and Engineering.
文摘Multi-label learning is an effective framework for learning with objects that have multiple semantic labels, and has been successfully applied into many real-world tasks, In contrast with traditional single-label learning, the cost of la- beling a multi-label example is rather high, thus it becomes an important task to train an effective multi-label learning model with as few labeled examples as possible. Active learning, which actively selects the most valuable data to query their labels, is the most important approach to reduce labeling cost. In this paper, we propose a novel approach MADM for batch mode multi-label active learning. On one hand, MADM exploits representativeness and diversity in both the feature and label space by matching the distribution between labeled and unlabeled data. On the other hand, it tends to query predicted positive instances, which are expected to be more informative than negative ones. Experiments on benchmark datasets demonstrate that the proposed approach can reduce the labeling cost significantly.
文摘Purpose:Amidst ongoing attempts to think beyondWestern frameworks for education,there is a tendency to overlook Japan,perhaps because it appears highly modern.This is striking given that some prominent strands of Japanese philosophy have formulated an explicit and exacting challenge to the core onto-epistemic premises of modern Western thought.It is also surprising because Japanese educational practices have resulted in some of the highest achievement outcomes—both cognitive and noncognitive—found anywhere in the world and inculcate a worldview that is distinct.Design/Approach/Methods:Herein,we thus attempt to make visible the potential contribution of modern Japanese philosophy by outlining some of the core ideas,then turn to sketch resonances with and responses to other projects outlined in this Special Issue.Our approach is elucidation through relational comparison.Findings:Through this process,we suggest that the notion of self-negation as a mode of learning may be helpful in explaining why—at the empirical level—the outlook of Japanese students,and perhaps other East Asian students,diverge markedly from their Western peers.Yet we also find that an attempt,such as ours,to link divergent onto-epistemic thought to alternative empirical hypotheses quickly gives rise to various doubts and discomforts,even among otherwise sympathetic scholars.Originality/Value:In directly responding to these doubts,one original contribution of our piece is to show just how difficult it may ultimately be to divest from the symbolic foundations already laid by Western liberalism:Even if divergent thought can be imagined and different cultural narratives explored,dominant readings of empirical“realities”continue to be entrapped in the logic laid by Western liberalism.
