Small-class teaching has seemed to become one of the trends of education reforms worldwide as professional associations and school boards struggle to provide quality education. Many countries have implemented small-cl...Small-class teaching has seemed to become one of the trends of education reforms worldwide as professional associations and school boards struggle to provide quality education. Many countries have implemented small-class teaching for many years. And therefore it has become a challenging activity for teachers to teach in small classes. This paper mainly focuses on the characteristics of small-class teaching, planning and skills needed for group management, small class discussion techniques and strategies of what to do when things go wrong in group sessions.展开更多
Recently,small class course teaching,with less than 30 students,seems to outperform the traditional large class course teaching in the field of education.Students can use online private course platform to preview cour...Recently,small class course teaching,with less than 30 students,seems to outperform the traditional large class course teaching in the field of education.Students can use online private course platform to preview course-related knowledge and promote practical experiences of offline courses.In this study,an evaluation strategy has been proposed for precision education protocol in small class course(SCC)based on artificial intelligence(AI),with the goal of focusing on the curriculum design and teaching approaches.By using the AI precision education model,the teaching approaches of SCC can be integrated into the traditional classroom.The results showed that the AI precision education model can promote the learning outcomes and enhance students’learning achievements.展开更多
Traditional classification algorithms perform not very well on imbalanced data sets and small sample size. To deal with the problem, a novel method is proposed to change the class distribution through adding virtual s...Traditional classification algorithms perform not very well on imbalanced data sets and small sample size. To deal with the problem, a novel method is proposed to change the class distribution through adding virtual samples, which are generated by the windowed regression over-sampling (WRO) method. The proposed method WRO not only reflects the additive effects but also reflects the multiplicative effect between samples. A comparative study between the proposed method and other over-sampling methods such as synthetic minority over-sampling technique (SMOTE) and borderline over-sampling (BOS) on UCI datasets and Fourier transform infrared spectroscopy (FTIR) data set is provided. Experimental results show that the WRO method can achieve better performance than other methods.展开更多
For language instructors, class-observation seems to be of paramount importance because, on the one hand, we may selectthe essential and put them into practice during the observation. On the other hand, to attend and ...For language instructors, class-observation seems to be of paramount importance because, on the one hand, we may selectthe essential and put them into practice during the observation. On the other hand, to attend and visit other lecturers' lessons maybroaden our horizons and make new friends. I once did the class-observation when I pursued the master's degree in the U.S.A.,and I learned a lot from it, such as visual aids, the method of small conferences, and in-class practices concerning the evaluation ofstudents' papers. This paper will minutely demonstrate the process and try to give fellow colleagues the benefits of my experienceand perhaps some advice on teaching English.展开更多
Small cells have been regarded as an appealing technique to boost resource reuse ratio. On the other hand, their large-scale and self-organised tendency would complicate the interference environment of mobile networks...Small cells have been regarded as an appealing technique to boost resource reuse ratio. On the other hand, their large-scale and self-organised tendency would complicate the interference environment of mobile networks. Meanwhile, traffic class is booming in recent years, which leads to higher demand for net- work designers on Quality of Service （QoS） provision, and therefore users＇ diverse re- quirements may not be guaranteed in sucff＇an interference limited scenario. To maximise the number of users with QoS demands as well as resource reuse ratio, we formulate the resource allocation problem into a multi-objective l0 norm form. It is shown to be NP hard, and an iterative method is employed to approach the optimal solution. Because of its limit of being not adaptive to large-scale networks, we also design a heuristic method based on chordal graph, which, however, could result in per- formance loss when the size of networks is small. Finally, by combining these two meth- ods, we devise a hybrid algorithm such that the allocation performs both efficiently and effectively. Simulation results illustrate the performance of our proposed methods in terms of outage probability and resource reuse ratio.展开更多
文摘Small-class teaching has seemed to become one of the trends of education reforms worldwide as professional associations and school boards struggle to provide quality education. Many countries have implemented small-class teaching for many years. And therefore it has become a challenging activity for teachers to teach in small classes. This paper mainly focuses on the characteristics of small-class teaching, planning and skills needed for group management, small class discussion techniques and strategies of what to do when things go wrong in group sessions.
基金The High Level Innovation Team Construction Project of Beijing Municipal Universities(Project Number:IDHT20190506).
文摘Recently,small class course teaching,with less than 30 students,seems to outperform the traditional large class course teaching in the field of education.Students can use online private course platform to preview course-related knowledge and promote practical experiences of offline courses.In this study,an evaluation strategy has been proposed for precision education protocol in small class course(SCC)based on artificial intelligence(AI),with the goal of focusing on the curriculum design and teaching approaches.By using the AI precision education model,the teaching approaches of SCC can be integrated into the traditional classroom.The results showed that the AI precision education model can promote the learning outcomes and enhance students’learning achievements.
文摘Traditional classification algorithms perform not very well on imbalanced data sets and small sample size. To deal with the problem, a novel method is proposed to change the class distribution through adding virtual samples, which are generated by the windowed regression over-sampling (WRO) method. The proposed method WRO not only reflects the additive effects but also reflects the multiplicative effect between samples. A comparative study between the proposed method and other over-sampling methods such as synthetic minority over-sampling technique (SMOTE) and borderline over-sampling (BOS) on UCI datasets and Fourier transform infrared spectroscopy (FTIR) data set is provided. Experimental results show that the WRO method can achieve better performance than other methods.
文摘For language instructors, class-observation seems to be of paramount importance because, on the one hand, we may selectthe essential and put them into practice during the observation. On the other hand, to attend and visit other lecturers' lessons maybroaden our horizons and make new friends. I once did the class-observation when I pursued the master's degree in the U.S.A.,and I learned a lot from it, such as visual aids, the method of small conferences, and in-class practices concerning the evaluation ofstudents' papers. This paper will minutely demonstrate the process and try to give fellow colleagues the benefits of my experienceand perhaps some advice on teaching English.
基金ACKNOWLEDGEMENT First, thanks for the invitation from the organ- isers of IEEE/CIC ICCC 2013 held in Xi＇an, China. This work was supported by the Na- tional Natural Science Foundation of China under Grants No. 60972047, No. 61231008 the National Science and Technology Major Project under Grams No. 2011ZX03005-004, No. 2011ZX03004-003, No. 2011ZX03005- 003-03, No. 2013ZX03004007-003+4 种基金 the Shannxi 13115 Project under Grant No. 2010ZDKG-26 the National Basic Research Program of China （973 Program） under Grant No. 2009CB320404 the Program for Changjiang Scholars and Inn- ovative Research Team in University under Gr- ant No. IRT0852 the 111 Project under Grant No. B08038 and the State Key Laboratory Fou- ndation under Grants No. ISN1002005, No. ISN090305.
文摘Small cells have been regarded as an appealing technique to boost resource reuse ratio. On the other hand, their large-scale and self-organised tendency would complicate the interference environment of mobile networks. Meanwhile, traffic class is booming in recent years, which leads to higher demand for net- work designers on Quality of Service （QoS） provision, and therefore users＇ diverse re- quirements may not be guaranteed in sucff＇an interference limited scenario. To maximise the number of users with QoS demands as well as resource reuse ratio, we formulate the resource allocation problem into a multi-objective l0 norm form. It is shown to be NP hard, and an iterative method is employed to approach the optimal solution. Because of its limit of being not adaptive to large-scale networks, we also design a heuristic method based on chordal graph, which, however, could result in per- formance loss when the size of networks is small. Finally, by combining these two meth- ods, we devise a hybrid algorithm such that the allocation performs both efficiently and effectively. Simulation results illustrate the performance of our proposed methods in terms of outage probability and resource reuse ratio.
