scholarly journals Teaching Model of College English Using a Computer Network

Author(s):  
Haiqing Hu

Motivation for reform and development for teaching of college English is strengthened by the increasing popularity of computers and global network technology. This paper analyzes the relationship between computer network teaching and the improvement of students’ autonomous learning ability, and the advantage of computer network teaching in actual teaching based on reviewing the theoretical basis and several learning models for autonomous learning done in the spirit of College English Curriculum Requirements issued in 2008. The promotion of a new teaching model for the improvement of students’ autonomous learning ability has been verified by the research and survey on teaching model of college English under the environment of computer network in Xi-dian University.

2020 ◽  
Vol 13 (6) ◽  
pp. 13
Author(s):  
Yanxia Du

Since the 21st century, the cultivation and improvement of college students' English autonomous learning ability have become an important symbol of deepening the reform of College English teaching. The reform of teaching model is the critical to it. With the help of the self-constructed flipped classroom teaching model, this paper designs the corresponding teaching process, aiming at investigating the three dimensions of self-management learning ability, self-learning psychology and self-learning behavior of non-English majors. After the investigation and experiment on the control class and the experimental class for the whole semester, the experimental results show that the self-regulated learning model of College English based on the flipped classroom can greatly improve the comprehensive English level of College students, and the flipped classroom teaching model of College English can effectively improve the students' self-management learning ability, stimulate students 'motivation of autonomous learning and activate students' autonomous learning behavior. Thus, it opens up a new path for the cultivation of College Students 'autonomous learning ability.


SAGE Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 215824402110711
Author(s):  
Xue Wang ◽  
Wei Zhang

Given the significance of cultivating students’ autonomous learning ability, there is a need to develop an instructional model that can improve students’ awareness and behavior of autonomous learning, as well as to explore the effectiveness and optimization of this model effectively. Taking college English course as a case study, this paper constructs a blended learning mode based on SPOC, which combines advantages of online and offline teaching. 15 types of nonredundant sets resulting from 500 questionnaires has been explored, and the optimal factor combinations have been found out from 15 types with the technology of data mining to optimize the mode constructed previously. Optimized blended learning mode, emphasizing the optimal factors more, has been applied to College English curriculum design and teaching practice in China. Surveys of students’ achievement and autonomous learning behavior have been conducted after experiment. The results of the research indicate that the optimized blended learning mode will stimulate foreign language learners’ learning motivation, cultivate their autonomous learning ability, so as to construct and improve their autonomous learning behavior further.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Heli Chang

With the rapid development of information technology, flipped classroom as a new type of mixed teaching mode relying on computer technology has changed the traditional teaching mode and formed a teaching process of “learning first and teaching later,” and it has been used in many fields of teaching. Flipped classroom reverses the sequence of traditional teaching knowledge transfer and knowledge internalization and improves students’ autonomy. However, it is still in the exploratory stage of the specific impact of the flipped classroom teaching model on college students’ English autonomous learning ability. Therefore, this article proposes a novel college English flipped classroom teaching model based on big data and deep neural networks. The study has selected a total of 230 students in two classes of the second-year English major of a university as the research objects. Data are utilized to investigate the changes of the two groups of students’ English autonomous learning ability and English academic performance, to explore the specific changes of college students’ English autonomous learning ability and its influencing factors through interviews, and to predict and effectively analyze the weight of influencing factors through the deep neural network. This research enriches the theoretical research results of college students’ English autonomous learning ability under the flipped classroom teaching model, provides reference for the cultivation of college students’ English autonomous learning ability, and has certain reference significance for the optimization of the flipped classroom teaching model. The proposed research will support researchers and practitioners at college and university level.


Author(s):  
Xu Fang ◽  
Tan Cuifeng ◽  
Zhang Yiran

<p class="1"><span lang="EN-US">The connotation of autonomous learning is expanding as time progressed. Under the background of “Internet plus” education, colleges and universities pay more attention to the application of network teaching resources in teaching. Universities intensified the reform of college English teaching and built platforms for autonomous learning, supplementing the shortcomings of English classroom teaching and improving students' autonomous learning ability. This paper takes local college students as the research object, makes an investigation and analyzes the situations of college students autonomous learning. The findings suggested that the following questions are addressed: lack of motivation of autonomous learning, lack of self-exploration of effective learning strategies, lack of the ability of multiple interactions. This paper will give relevant strategies for building a platform for college English autonomous learning to promote and cultivate students' independent learning ability of foreign languages.</span></p>


2020 ◽  
Vol 39 (4) ◽  
pp. 5559-5569
Author(s):  
Meichen Jin

At present, the field of natural language will also introduce in-depth learning, using the concept of word vector, so that the neural network can also complete the work in the field of statistics. It can be said that the neural network has begun to show its advantages in the field of natural language processing. In this paper, the author analyzes the multimedia English course based on fuzzy statistics and neural network clustering. Different factors were classified, and scores were classified according to the number of characteristics of different categories. It can be seen that with the popularization of the Internet, MOOC teaching meets the requirements of the current college English curriculum, is a breakthrough in the traditional teaching mode, improves students’ participation, and enables students to learn independently. It not only conforms to the characteristics of College students, but also improves their learning effect. In the automatic scoring stage, the quantitative text features are extracted by the feature extractor in the pre-processing stage, and then the weights of network connections obtained in the training stage are used to score the weights comprehensively. This model can better reflect students’ autonomous learning ability and language application ability.


2014 ◽  
Vol 644-650 ◽  
pp. 5590-5593
Author(s):  
An Wang ◽  
Xiang Qing Zhang

With the development of computer network technology, constructing the new teaching model of college English under network environment is a pressing matter. The paper introduces the theoretical basis, significance and strategies of constructing college English teaching model under network environment.


Sign in / Sign up

Export Citation Format

Share Document