Assessment and learning must not be considered as two separate processes. In fact, assessment is an integral part of the learning process; it can be learning experience in itself. Active assessment strategies help stu...Assessment and learning must not be considered as two separate processes. In fact, assessment is an integral part of the learning process; it can be learning experience in itself. Active assessment strategies help students better understand the content they learn and develop skills that will be useful to them throughout their lives. Some of those skills are the ability to prepare effective oral and written reports and the ability to cooperate successfully with peers. Action research represents the process of systematic inquiry and it helps teachers to assess learning from the perspective of what they do in the classroom. The purpose is to find out ＂why＂ or ＂how＂ something happened the way it did. Therefore, a situation or problem should be carefully examined by a teacher. Teachers should analyze their own beliefs, values, and assumptions about teaching and learning, knowledge and curriculum, and how these impact the way they interact with students. Feedback should be used as part of assessment activities. Learning experience of students facilitated by teachers can be assessed through feedback.展开更多
In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop sy...In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop system structure, the idea of virtual reference feedback tuning is proposed to avoid the identification process corresponding to the plant model. After constructing one identification cost without any knowledge of plant model, the author derives one bound on the difference between the expected identification cost and its sample identification cost under the condition that the number of data points is finite. Also the correlation between the plant input and external noise is considered in the derivation of this bound. Furthermore, the author continues to derive one probability bound to quantify this difference by using some probability inequalities and control theory.展开更多
文摘Assessment and learning must not be considered as two separate processes. In fact, assessment is an integral part of the learning process; it can be learning experience in itself. Active assessment strategies help students better understand the content they learn and develop skills that will be useful to them throughout their lives. Some of those skills are the ability to prepare effective oral and written reports and the ability to cooperate successfully with peers. Action research represents the process of systematic inquiry and it helps teachers to assess learning from the perspective of what they do in the classroom. The purpose is to find out ＂why＂ or ＂how＂ something happened the way it did. Therefore, a situation or problem should be carefully examined by a teacher. Teachers should analyze their own beliefs, values, and assumptions about teaching and learning, knowledge and curriculum, and how these impact the way they interact with students. Feedback should be used as part of assessment activities. Learning experience of students facilitated by teachers can be assessed through feedback.
基金supported by Jiangxi Provincial National Science Foundation under Grant No.20142BAB206020
文摘In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop system structure, the idea of virtual reference feedback tuning is proposed to avoid the identification process corresponding to the plant model. After constructing one identification cost without any knowledge of plant model, the author derives one bound on the difference between the expected identification cost and its sample identification cost under the condition that the number of data points is finite. Also the correlation between the plant input and external noise is considered in the derivation of this bound. Furthermore, the author continues to derive one probability bound to quantify this difference by using some probability inequalities and control theory.
