Learner Autonomy in Multimedia Communication Environment

2014 ◽  
Vol 519-520 ◽  
pp. 1675-1678
Author(s):  
Shu Hua Wang
Keyword(s):  
English Learners ◽  
Learner Autonomy ◽  
Multimedia Communication ◽  
Autonomous Learning ◽  
English Learning ◽  
College English ◽  
Empirical Survey ◽  
Learning Platform ◽  
Communication Environment ◽  
Educational Ecology

Multimedia and network are said to have provided college English learners with a more effective and facilitative autonomous learning platform. This paper examines the present problems in learner autonomy from the perspective of educational ecology and puts forward suggestions on how to enhance autonomous English learning in the multimedia communication environment on the basis of a small empirical survey.

scholarly journals A Study on the Efficiency and Countermeasures of Network-Based Autonomous Learning Platform for Vocational College English Learners

2021 ◽  
Author(s):  
Liping Jiang
Keyword(s):  
English Learners ◽  
Positive Attitude ◽  
Guangdong Province ◽  
Autonomous Learning ◽  
College English ◽  
Vocational College ◽  
Learning Platform

This paper investigates the efficiency of 289 vocational college English learners using the network-based autonomous learning platform in Guangdong province in China. The results show that learners have a positive attitude toward the network-based extracurricular English autonomous learning, and learners with different English foundation have different requirements for extracurricular online autonomous learning. This paper puts forward some countermeasures on how to make full use of the network-based extracurricular English autonomous learning.

scholarly journals PROMOTING LEARNER AUTONOMY THROUGH SELF-ASSESSMENT IN WRITING CLASS

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Muhammad Islakhul Huda ◽  
Siti Musarokah ◽  
Andreas Bambang Prabowo Kusumo Adi
Keyword(s):  
English Learners ◽  
Teaching And Learning ◽  
Direct Methods ◽  
Learner Autonomy ◽  
Autonomous Learning ◽  
Self Assessment ◽  
Writing Classes ◽  
College English ◽  
Collection Data ◽  
Face To Face Learning

In the 2020 era, the corona pandemic has caused many impacts throughout the country that are very broad in all fields, including education. Learners and lecturers are no exception affected by the pandemic, and always strive to be able to carry out teaching and learning activities that can cover deficiencies in the field. Based on the current complex learning and living background, this article discuss the autonomous learning mode of College English learners, puts forward the discussion of constructing strategy from self-assessment to improve autonomous learning mode of college English in writing classess. In discussing this article, the writer used theoretical review and qualitative document methods which were observations, data collection, data processing, revisions, and documentation. Then, it can be concluded that the results of research on self-assessment can improve learner autonomy so that learners can get the ease from online writing classes during the pandemic and in the future from direct methods (face to face) learning more beneficially

Construction on Autonomous Learning Platform for College English Based on Network

2014 ◽  
Vol 687-691 ◽  
pp. 2300-2303
Author(s):  
Yu Mei Zhou ◽  
Wan Qing Yang
Keyword(s):  
Information Technology ◽  
Rapid Development ◽  
Autonomous Learning ◽  
Learning Tools ◽  
Optimization Strategy ◽  
Innovative Teaching ◽  
College English ◽  
Test And Evaluation ◽  
Teaching Aids ◽  
Learning Platform

With the rapid development of information technology, the network has become an important teaching aids, and innovative teaching mode of college English. This article studies the construction of English autonomous learning platform. First, discussed the theoretical basis that needed by building autonomous learning platform for college English; Secondly, the relevant theoretical principles as a basis for the overall platform architecture, including learning tools, learning resources, exchange platform, test and evaluation platform and so on; Finally, proposed optimization strategy on the basis of the characteristics summarized platform and deficiencies. Use of network information technology to build college English autonomous learning platform provide students with a wealth of English resources, so studying the construction of English autonomous learning platform based on network has great significance.

Multi-Channel Data Acquisition System Analysis and Modeling

2014 ◽  
Vol 644-650 ◽  
pp. 4192-4196
Author(s):  
Ning Zhang ◽  
Ze Hua Wu
Keyword(s):  
Language Proficiency ◽  
English Language ◽  
System Analysis ◽  
Autonomous Learning ◽  
English Learning ◽  
College English ◽  
English Majors ◽  
Science Test ◽  
English Major ◽  
Proficiency Scores

College English learning now has attracted a great deal of attention, but many non-English majors students have major problems in terms of English learning, and how to improve the non-English majors' autonomous learning efficiency is the problem that the majority of English educators can not ignore. Through a college non-English major students' English learning science test survey, usual English learning and English language proficiency scores for tracking and monitoring, and data for scientific analysis, and monitoring results, this article indicates that by increasing the non-English majors' autonomous learning teaching mode, the students' efficiency and academic performance have improved significantly. From subsequent cognitive satisfaction survey for self-acceptance, this teaching mode's performance is quite satisfactory.

scholarly journals A Factor Analysis of Motivation-Behavior Affecting Factors Among Chinese College-English Learners

2019 ◽  
Vol 9 (4) ◽  
pp. 63
Author(s):  
Hongyi Zhao ◽  
Shaoyun Long
Keyword(s):  
Factor Analysis ◽  
English Learners ◽  
English Learning ◽  
Affecting Factors ◽  
Oblique Rotation ◽  
College English ◽  
Teaching Reform ◽  
Multiple Dimensions ◽  
English Major ◽  
Main Factors

Based on multiple dimensions, with a contemporary college students’ self-built English learning questionnaire (r = 0.872) of 775 subjects from two universities, and with a stratified sampling (120) and optimal oblique rotation, this study found some main factors of college Non-English major students. Results show that factor composition as a whole has a unique representation law. This study provides targeted psychological guidance for students to enhance their confidence and to improve their ability of meta-monitoring. Meanwhile, it has certain enlightenment for current college-English grading, classification and stratified teaching reform and improvement of students’ interest in learning English.

scholarly journals Design and Implementation of Web-Based English Autonomous Learning System

2019 ◽  
Vol 14 (06) ◽  
pp. 18
Author(s):  
Huimin Han
Keyword(s):  
English Learners ◽  
Resource Sharing ◽  
Learning System ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Web Based ◽  
Design And Implementation ◽  
Learning Platform ◽  
Internet Learning ◽  
Set Up

This paper attempts to solve the following problems of traditional Internet Eng-lish learning websites: the emphasis on the teaching process over the timely feed-back of the students, the bottleneck on the autonomous learning ability of the stu-dents, and the delay in the update of relevant resources. For this purpose, the au-thor established a web-based English autonomous learning platform. Specifically, the conceptual model was analysed by the object-oriented technology, the brows-er/server (B/S) architecture was set up to send data to the ADO.NET-based backend database, and displayed as webpages. The research results show that the design and implementation of the proposed system offers a preliminary solution to the lack of collaborative communication in traditional webpage learning, and widens the range of resource sharing. The system is in line with the English learners’ demand for and interests in Internet learning, and arouses the students’ interests and enthusiasm of English learning.

Monitoring System Construction of Autonomous Learning for College English Based on IT

2014 ◽  
Vol 945-949 ◽  
pp. 3554-3557
Author(s):  
Kun Wang ◽  
Yi Yang
Keyword(s):  
Monitoring System ◽  
English Learners ◽  
Current Situation ◽  
Autonomous Learning ◽  
Learning Activities ◽  
System Construction ◽  
College English ◽  
English Teaching ◽  
Dynamic Development ◽  
External Monitoring

This paper aims to explore the construction of monitoring system of autonomous learning for college English. Dynamic development of autonomous learning was explained briefly. It also discussed connotation and features of the monitoring of autonomous learning. Finally, the monitoring system of autonomous learning was created after analyzing the current situation of students’ autonomous learning activities. It points out that interaction between inner and external monitoring system is beneficial to the progress for English learners; Joint efforts of all of the elements in the system contribute to the efficiency of college English teaching.

scholarly journals An Experimental Study of Flipped Classroom English Teaching Based on Autonomous Learning Theory

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Min Yao
Keyword(s):  
Learning Theory ◽  
Flipped Classroom ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Classroom Teaching ◽  
English Learning ◽  
Positive Role ◽  
Learning Abilities ◽  
College English ◽  
Experimental Data Analysis

In order to improve students' English autonomous learning abilities, the study applied the flipped classroom teaching model based on autonomous learning theory. According to the experimental data analysis and the survey, it is found that flipped classroom teaching plays a more positive role in cultivating students' autonomous learning ability, improving their comprehensive Englishprofciency, and building their confdence and interest in college English learning.

scholarly journals Developing English Abilities of Autonomous Learning for Undergraduates in the Environment of Ecological Affordance

2020 ◽  
Vol 13 (7) ◽  
pp. 104
Author(s):  
Ji Song
Keyword(s):  
Learning Strategies ◽  
Autonomous Learning ◽  
Independent Learning ◽  
Learning Resources ◽  
English Learning ◽  
College English ◽  
Before And After ◽  
English Instruction

The research investigates undergraduates’ English abilities of autonomous learning in the environment of ecological affordance. It proves that their abilities are significantly different before and after independent learning in one semester, and they can actively try their own learning strategies and achieve good results in English learning, which reflects the success of cultivating the ability of autonomous learning. And it also holds that it is a good ecological affordance when learners could sense and understand abundant learning resources under their teachers’ effective guidance, and thus arouse enough enthusiasm for English learning to guarantee the quality of College English instruction.

scholarly journals Evaluation Model of College English Multimedia Teaching Effect Based on Deep Convolutional Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Limei Geng
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Speech Recognition ◽  
Language Learning ◽  
Convolutional Neural Network ◽  
English Learners ◽  
Speech Signal ◽  
English Learning ◽  
College English ◽  
Multimedia Teaching

With the acceleration of global integration, the demand for English instruction is increasingly rising. On the other hand, Chinese English learners struggle to learn spoken English due to the limited English learning environment and teaching conditions in China. The advancement of artificial intelligence technology and the advancement of language teaching and learning techniques have ushered in a new era of language learning and teaching. Deep learning technology makes it possible to solve this problem. Speech recognition and assessment technology are at the heart of language learning, and speech recognition technology is the foundation. Because of the complex changes in speech pronunciation, a large amount of speech signal data, the high dimension of speech characteristic parameters, and a large amount of speech recognition and evaluation computation, the large volume of speech signal processing requires higher requirements of hardware and software resources and algorithms. However, traditional speech recognition algorithms, such as dynamic time-warped algorithms, hidden Markov models, and artificial neural networks, have their advantages and disadvantages. They have encountered unprecedented bottlenecks, so it is difficult to improve their accuracy and speed. To solve these problems, this paper focuses on evaluating the multimedia teaching effect of college English. A multilevel residual convolutional neural network algorithm for oral English pronunciation recognition is proposed based on a deep convolutional neural network. The experiments show that our algorithm can assist learners in identifying inconsistencies between their pronunciation and standard pronunciation and correcting pronunciation errors, resulting in improved oral English learning performance.

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