Purpose This study elucidates the rationale,implementation,values,and challenges of the Synergized Quality Improvement Program in Teacher Education(SQIPTE)—the first policy specifically dedicated to the development o...Purpose This study elucidates the rationale,implementation,values,and challenges of the Synergized Quality Improvement Program in Teacher Education(SQIPTE)—the first policy specifically dedicated to the development of teaching staff since the founding of the People's Republic of China.Design/Approach/Methods After introducing the primary structure and rationale of the SQIPTE,this study reviews the existing data and research to explain why the program focuses on local normal colleges and determine how it could be implemented more effectively.Findings In establishing group-based assistance under the principle of“1+M+N”(M≥N),the SQIPTE seeks to make normal colleges the primary force in the education of rural teachers and explores a collaborative operating mechanism to this end.Evidence suggests that this innovative program will provide new practical experience for the collaborative development and quality improvement of teachers.Originality/Value This study reviews the SQIPTE as a new Chinese intervention to improve the quality of rural teachers.There is strong evidence to suggest that this innovative program will inspire the construction of collaborative operating mechanisms incorporating multiple resources for teacher education systems across different areas.展开更多
For natural water, method of water quality evaluation based on improved fuzzy matter-element evaluation method is presented. Two important parts are improved, the weights determining and fuzzy membership functions. Th...For natural water, method of water quality evaluation based on improved fuzzy matter-element evaluation method is presented. Two important parts are improved, the weights determining and fuzzy membership functions. The coefficient of variation of each indicator is used to determine the weight instead of traditional calculating superscales method. On the other hand, fuzzy matter-elements are constructed, and normal membership degrees are used instead of traditional trapezoidal ones. The composite fuzzy matter-elements with associated coefficient are constructed through associated transformation. The levels of natural water quality are determined according to the principle of maximum correlation. The improved fuzzy matter-element evaluation method is applied to evaluate water quality of the Luokou mainstream estuary at the first ten weeks in 2011 with the coefficient of variatiola method determining the weights. Water quality of Luokou mainstream estuary is dropping from level I to level II. The results of the improved evaluation method are basically the same as the official water quality. The variation coefficient method can reduce the workload, and overcome the adverse effects from abnormal values, compared with the traditional calculating superscales method. The results of improved fuzzy matter- element evaluation method are more credible than the ones of the traditional evaluation method. The improved evaluation method can use information of monitoring data more scientifically and comprehensively, and broaden a new evaluation method for water quality assessment.展开更多
基金the Key Project of the Chinese Society of Education in 2021,titled"The Synergized Quality Improvement Program in Teacher Education"(grant number 2021093104LWT).
文摘Purpose This study elucidates the rationale,implementation,values,and challenges of the Synergized Quality Improvement Program in Teacher Education(SQIPTE)—the first policy specifically dedicated to the development of teaching staff since the founding of the People's Republic of China.Design/Approach/Methods After introducing the primary structure and rationale of the SQIPTE,this study reviews the existing data and research to explain why the program focuses on local normal colleges and determine how it could be implemented more effectively.Findings In establishing group-based assistance under the principle of“1+M+N”(M≥N),the SQIPTE seeks to make normal colleges the primary force in the education of rural teachers and explores a collaborative operating mechanism to this end.Evidence suggests that this innovative program will provide new practical experience for the collaborative development and quality improvement of teachers.Originality/Value This study reviews the SQIPTE as a new Chinese intervention to improve the quality of rural teachers.There is strong evidence to suggest that this innovative program will inspire the construction of collaborative operating mechanisms incorporating multiple resources for teacher education systems across different areas.
基金supported by the National Natural Science Foundation of China (No. 41071322, 71031001)
文摘For natural water, method of water quality evaluation based on improved fuzzy matter-element evaluation method is presented. Two important parts are improved, the weights determining and fuzzy membership functions. The coefficient of variation of each indicator is used to determine the weight instead of traditional calculating superscales method. On the other hand, fuzzy matter-elements are constructed, and normal membership degrees are used instead of traditional trapezoidal ones. The composite fuzzy matter-elements with associated coefficient are constructed through associated transformation. The levels of natural water quality are determined according to the principle of maximum correlation. The improved fuzzy matter-element evaluation method is applied to evaluate water quality of the Luokou mainstream estuary at the first ten weeks in 2011 with the coefficient of variatiola method determining the weights. Water quality of Luokou mainstream estuary is dropping from level I to level II. The results of the improved evaluation method are basically the same as the official water quality. The variation coefficient method can reduce the workload, and overcome the adverse effects from abnormal values, compared with the traditional calculating superscales method. The results of improved fuzzy matter- element evaluation method are more credible than the ones of the traditional evaluation method. The improved evaluation method can use information of monitoring data more scientifically and comprehensively, and broaden a new evaluation method for water quality assessment.
