Studies on Cooperative Learning （CL） have demonstrated advantages and effectiveness of employing strategies of CL on English as a Second Language （ESL）. This report presents the processes of CL implemented in two ...Studies on Cooperative Learning （CL） have demonstrated advantages and effectiveness of employing strategies of CL on English as a Second Language （ESL）. This report presents the processes of CL implemented in two English intensive reading courses at a Chinese university. The purpose is to arouse the students＇ awareness of working in groups in their English reading classroom and to enhance their reading comprehension at tertiary level. The results show that students can adapt to small group work when they realize the benefits brought to them. Although positive effectiveness of CL is prevalent at any levels in educational contexts, benefits of CL on ESL are not deeply cultivated as expected, particularly for Chinese learners of English and some problems can also be found in implementing CL. As the emphasis of curriculum of English Language Teaching （ELT） in China has been on developing students＇ competence in communication in English, it is necessary for teachers to adopt CL in classroom instructions rather than teacher-centered approaches.展开更多
The calculation of the indirect carbon emis-sion is essential for power system policy making,carbon market development,and power grid planning.The em-bedded carbon emissions of the electricity system are commonly calc...The calculation of the indirect carbon emis-sion is essential for power system policy making,carbon market development,and power grid planning.The em-bedded carbon emissions of the electricity system are commonly calculated by carbon emission flow theory.However,the calculation procedure is time-consuming,especially for a country with 500-1000 thousand nodes,making it challenging to obtain nationwide carbon emis-sions intensity precisely.Additionally,the calculation procedure requires to gather all the grid data with high classified levels from different power grid companies,which can prevent data sharing and cooperation among different companies.This paper proposes a distributed computing algorithm for indirect carbon emission that can reduce the time consumption and provide privacy protection.The core idea is to utilize the sparsity of the nodes’flow matrix of the nationwide grid to partition the computing procedure into parallel sub-procedures exe-cuted in multiple terminals.The flow and structure data of the regional grid are transformed irreversibly for pri-vacy protection,when transmitted between terminals.A 1-master-and-N-slave layout is adopted to verify the method.This algorithm is suitable for large grid compa-nies with headquarter and branches in provinces,such as the State Grid Corporation of China.展开更多
文摘Studies on Cooperative Learning （CL） have demonstrated advantages and effectiveness of employing strategies of CL on English as a Second Language （ESL）. This report presents the processes of CL implemented in two English intensive reading courses at a Chinese university. The purpose is to arouse the students＇ awareness of working in groups in their English reading classroom and to enhance their reading comprehension at tertiary level. The results show that students can adapt to small group work when they realize the benefits brought to them. Although positive effectiveness of CL is prevalent at any levels in educational contexts, benefits of CL on ESL are not deeply cultivated as expected, particularly for Chinese learners of English and some problems can also be found in implementing CL. As the emphasis of curriculum of English Language Teaching （ELT） in China has been on developing students＇ competence in communication in English, it is necessary for teachers to adopt CL in classroom instructions rather than teacher-centered approaches.
基金supported by the Science and Technol-ogy Project of State Grid Cooperation of China(No.5700-202290184A-1-1-ZN).
文摘The calculation of the indirect carbon emis-sion is essential for power system policy making,carbon market development,and power grid planning.The em-bedded carbon emissions of the electricity system are commonly calculated by carbon emission flow theory.However,the calculation procedure is time-consuming,especially for a country with 500-1000 thousand nodes,making it challenging to obtain nationwide carbon emis-sions intensity precisely.Additionally,the calculation procedure requires to gather all the grid data with high classified levels from different power grid companies,which can prevent data sharing and cooperation among different companies.This paper proposes a distributed computing algorithm for indirect carbon emission that can reduce the time consumption and provide privacy protection.The core idea is to utilize the sparsity of the nodes’flow matrix of the nationwide grid to partition the computing procedure into parallel sub-procedures exe-cuted in multiple terminals.The flow and structure data of the regional grid are transformed irreversibly for pri-vacy protection,when transmitted between terminals.A 1-master-and-N-slave layout is adopted to verify the method.This algorithm is suitable for large grid compa-nies with headquarter and branches in provinces,such as the State Grid Corporation of China.
