The satisfaction of College English classroom teaching quality based on Fuzzy Data Mining

2020 ◽  
Vol 29 (4) ◽  
Author(s):  
Xiaoge Wang ◽  
Weihong Zhao ◽  
Yuanyuan Xu
Keyword(s):  
Data Mining ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Fuzzy Data ◽  
College English ◽  
English Classroom

scholarly journals Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoxia Ma
Keyword(s):  
Neural Network ◽  
Online Teaching ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Teaching Evaluation ◽  
Variation Method ◽  
Classroom Teaching ◽  
Evaluation Report ◽  
College English ◽  
English Classroom

College English classroom teaching evaluation is an important basis for understanding teaching level and improving teaching quality. The traditional college English classroom teaching evaluation is mainly carried out through questionnaires and scales, but this method is time-consuming and laborious, inevitably introduces subjective errors, and reduces the accuracy and credibility of the evaluation results. In recent years, the rise and development of wisdom education not only provides a more convenient and efficient modern education form but also brings new ideas for classroom teaching evaluation. A subjective and objective fusion statistical evaluation model based on multidirectional genetic variation method and optimized neural network is proposed. The algorithm avoids subjective errors and improves the accuracy and reliability of the evaluation results, and a comprehensive evaluation model is constructed. Finally, according to different evaluation indexes, a systematic visualization scheme is designed to generate students’ classroom learning evaluation report and teachers' classroom teaching evaluation report, respectively, and visualize them on the web.

scholarly journals The Online Teaching Mode of College English in the Context of Gaussian Variant Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Shengfen Wang ◽  
Wei Hu ◽  
Yuan Lei
Keyword(s):  
Genetic Algorithm ◽  
Online Teaching ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
General Situation ◽  
Gaussian Mutation ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
English Classroom

The current college English online teaching mode is mainly based on the traditional online MOOC teaching, which has some problems such as poor interaction. Under the mixed background, this paper studies the online college English teaching model based on the Gaussian mutation genetic algorithm and neural network algorithm. Firstly, it briefly introduces the general situation of network English teaching and the hybrid application of the Gaussian mutation genetic algorithm. Through the investigation and test analysis of students before and after class, the experiment evaluates students’ network teaching quality in many aspects. On this basis, a better teaching quality evaluation model is proposed. Finally, the practical application shows that the model in this paper is very feasible. In the end, students have higher enthusiasm and seriousness in the hybrid context of college English online teaching based on the dual algorithm. English teaching quality can make use of each student’s test scores in English classroom. This paper realizes the overall teaching through real-time dynamic tracking. Quantitative indicators are used to sort the influence degree of English classroom teaching indicators, which can effectively evaluate the quality of English classroom teaching.

College Business English teaching in the context of multimedia network

2021 ◽  
pp. 002072092110077
Author(s):  
Yan Liang
Keyword(s):  
Language Learning ◽  
English Education ◽  
Classroom Teaching ◽  
Business English ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
Multimedia Network ◽  
English Classroom ◽  
Reform Model

With the advent of the Internet age, network information technology is rapidly entering college English classes, which fundamentally changes the mode of college English teaching. In college English classroom teaching mode, as a brand teaching form, College English multimedia network teaching environment has brought advantages to classroom teaching, but also brought about impacts on teaching concepts, teaching models, teaching methods and other aspects. There are some phenomena that are inconsistent with the reform model at the students, teachers and the environment. The balance of traditional English classroom teaching has been broken, which has affected the smooth progress of college business English classroom teaching mode reform. It is very important to analyze and resolve these imbalances and find ecological methods for optimizing university English education. In this context, the advent of multimedia-assisted education technology has provided better conditions for the implementation of Business English classroom education in universities. Multimedia-powered business English education allows teachers to create a better language learning environment in class more conveniently and quickly, helping students acquire grammar knowledge and achieve their educational objectives.

scholarly journals Convolutional Neural Network-Assisted Strategies for Improving Teaching Quality of College English Flipped Class

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tiankun Liu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Student Behavior ◽  
Flipped Classroom ◽  
Classroom Behavior ◽  
Procedural Knowledge ◽  
Teaching Style ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
College English

The “flipped classroom” teaching paradigm not only follows the cognitive rules of the learners, but it also subverts and reverses the standard classroom teaching process. Problem-oriented, teacher-led, student-centered, and mixed teaching approaches are the key teaching methods in the flipped classroom teaching model, which focuses on students’ procedural knowledge acquisition and critical thinking training. There are a lot of studies on the specific practice path of the “flipped classroom” teaching style right now, but there are not many on the learning involvement of college English students in this approach. According to studies, the level of student participation in classroom learning is the most important factor limiting the efficiency of teaching. The lack of research in this subject greatly limits the “flipped classroom” teaching model’s ability to improve college English classroom teaching quality. The degree of engagement between teachers and students, the enthusiasm of students in class, and the competence of teachers to educate are all reflected in student conduct in the classroom. Understanding and evaluating the behaviors and activities of students in the classroom are helpful in determining the state of students in the classroom, as well as improving the flipped classroom teaching technique and quality. As a result, the convolutional neural network is used to recognize student behavior in the classroom. The loss function of VGG-16 has been enhanced, the distance inside the class has been lowered, the distance between classes has been increased, and the recognition accuracy has improved. Accurate recognition of classroom behavior is beneficial in developing methods to improve teaching quality.

scholarly journals Exploring Ideological and Innovative Education for Integrated Course of New College English (Second Edition)

2021 ◽  
Vol 4 (10) ◽  
pp. 170-175
Author(s):  
Yan Li ◽  
Wu Biyu ◽  
Lou Yanfei ◽  
Yuan Xiaohui
Keyword(s):  
Moral Education ◽  
Civic Education ◽  
Chinese Culture ◽  
Ideological And Political Education ◽  
Classroom Teaching ◽  
College English ◽  
Innovative Thinking ◽  
English Classroom ◽  
Research Students ◽  
Selection Of

The series of textbooks of the Integrated Course of New College English (Second Edition) was conceived at the end of the last century. The first edition was published at the beginning of the new century and the second in 2010. Due to the long period of time, the selection of materials in the textbook is not well integrated with the localized Chinese culture and is missing content closely related to traditional Chinese culture and Civic Education, etc. The paper puts forward constructive suggestions on how to use the Integrated Course in an innovative way. Firstly, from the perspective of moral education, it is suggested that the moral education elements in the textbook be sorted out and matched with socialist core values and that the ideological and political education of the curriculum is achieved through explicit interpretation of the unit themes and implicit infiltration into language ontology teaching. Secondly, through teaching for learning and learning for research, students are encouraged to participate in innovative and entrepreneurial projects for university students, realizing the extension of university English classroom teaching to extra-curricular research, deepening the content of the teaching materials, and thus cultivating students' innovative thinking and entrepreneurial abilities.

Sign in / Sign up

Export Citation Format

Share Document