This paper proposes a nonelliptic extended English teaching ability evaluation algorithm based on an adaptive random matrix model. The algorithm models a nonelliptical expansion target as multiple elliptical sub-objectives, and the expansion state of each sub-target is described by an inverse Wishart distribution. The new method is combined to improve the robustness problem caused by the initialization after the algorithm expansion. This research uses the smart teacher education platform to conduct research and analysis on the evaluation of teaching practice ability of intern normal students. From the perspective of data evaluation, we explore the influence of normal students’ curriculum training on the teaching practice ability of normal students. By analyzing the correlation between normal students’ course grades and practice grades, this paper explores the influence of normal students’ prepractice training on normal students’ teaching practice ability. This paper explores the influence of the training of normal students’ course learning on the teaching practice ability of normal students. The results show that the learning level of normal students’ professional courses has a significant impact on the development of normal students’ practice performance and teaching practice ability; the impact of normal students’ pedagogical course level on normal students’ practice performance and teaching practice ability is relatively low.
In order to maximize the students' brain potential in English learning, this paper makes an investigation and analysis of brain-based college English teaching classroom, and proposes an English classroom teaching mode considering brain cognition enhancement method according to the investigation. By means of comprehensive analysis of the application of brain science theory and the teaching of brain science, in combination with the model of literature investigation and questionnaire survey, this paper summarizes the theoretical basis of brain cognitive science and explains its application in college English teaching. This paper puts forward the strategies and suggestions of English classroom innovation based on brain science, so that English teaching classroom can be innovated and transformed according to the laws of brain cognition as much as possible, arouse students' brain activity, and finally realize the better learning of English knowledge. On the one hand, this study provides reference for English classroom teaching based on brain science in colleges and universities, on the other hand, it has guiding significance for the reform of English teaching in colleges and universities.
Abstract-With the development of information technology, especially the fast development of Internet technology, the network technology has expanded to all walks of life. Using Internet to acquire knowledge has become an important means for us. The paper sums up the current status of foreign active learning modes and the problems existing in computer network environment by referring to the relevant literature. What is more, it also further clarifies the basic concepts and connotations of active learning in the computer network environment and active learning itself by researching on its relevant theoretical basis and influential factors as well. "A new active learning mode in computer network environment" is constructed based on the analysis of the relevant factors of active learning in the computer network environment, taking college students as the studying object and the college English course as an example. According to this model, the active learning platform of college English network is designed and developed. The research conclusion is not only theoretically based, but also founded on the concrete practice and the application. Therefore, it is endowed with maneuverability so as to provide a research example for the general teachers.Index Terms-Internet technology; active learning mode; computer network environment; platform of college English
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