scholarly journals A Practical Exploration of Constructive English Learning Platform Informatization Based on RBF Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ning Tang ◽  
Bing Li ◽  
Sang-Bing Tsai

The constructive English learning approach provides better technical support and learning concepts for English learners. This paper firstly introduces the theoretical basis of constructive English learning and the status of domestic and international research and analyzes the advantages over the traditional English learning approach. This paper also analyzes the RBF neural network model, especially the locally adjusted RBF algorithm, and considers the training model and construction method of the RBF neural network to simulate the learning pattern of good learners of English in grades 4 and 6 to better realize the effect of the English learning platform and allow the English learning platform to play a supportive role in the learning process of students, and through the evaluation of the design, we can better improve the software design, which can be improved by evaluating the design. In the subsequent research, we should add a more user-friendly interface design, use larger model samples to train the model to make it more universal in accuracy and ensure good stability in operation, and integrate multiple algorithms to improve the training algorithm of RBF neural network to obtain a more general algorithm model. The rich teaching methods can cultivate students’ independent inquiry ability, and the construction of this English learning platform can help improve students’ ability to use information technology. By making students become the main subject of teaching and learning, we can stimulate students’ enthusiasm and a good awareness of English learning. Using the radial basis function (RBF) algorithm and the constructive pod language teaching method, this English learning platform is a good and positive aid for students to learn English, and as a better English education tool, it has certain research value and positive significance for the study of English teaching.

2017 ◽  
Vol 1 (1) ◽  
pp. 55
Author(s):  
Pande Agus Adiwijaya

The change of paradigm of university education level in Indonesia has demanded changes in its curriculum. More skill-based curriculum is demanded as the result of global competition. As the paradigm change, the teaching method is should be changed as well. Translation/Interpreting I course in English Education Department of STKIP Suar Bangli has been changed to be more skill-based course as before it was emphasized on theory only. This course was taught by using Project Based Learning approach in order to give more practices to the students rather than teaching theories. This approach was conducted in 1 semester consisting of 16 meetings. It was done in fifth semester students of English Education Department of STKIP Suar Bangli. It was qualitative descriptive study which aiming at describing how was the implementation of Problem Based Learning in this course. Some instruments were utilized such as documentation, observation sheet, questionnaire and evaluation rubric. The data were analysed quantitatively and qualitatively. Based on the finding it was found that the students were having probem in the beginning of this implementation but finally they realized that this approach is much more helping them in learning translation/interpreting I. 


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qianbo Li

With the economic development in our country, there are more and more international exchanges and communications. Hence, the ability to read, write, and communicate in English is essential and very necessary. In traditional English classroom teaching, teachers are the disseminators of knowledge, whereas students only receive knowledge passively. Due to the limitation of teaching hours and the lack of teaching approaches, it is necessary to make up for the insufficiency in the teaching activities through computer technology and multimedia technology. Abundant teaching approaches can cultivate the independent inquiry ability of students, and the establishment of such an English learning platform is conducive to improving the students’ ability to make full use of the information technology. Through teaching and learning, the students can become the main entity in the English teaching, which can stimulate their enthusiasm and form a good awareness for English learning. In this paper, the radial basis function (hereinafter referred to as RBF for short) algorithm is adopted. Combined with the constructive English teaching method, practical design and construction are carried out by analyzing the concepts, principles, and application strategies of smart classroom teaching in the multimedia background. The practice has proved that the method proposed in this paper is effective and has certain research value and positive significance for the research on English teaching.


2021 ◽  
pp. 1-10
Author(s):  
Liuhui Yang ◽  
Xiuying Wu

The ability to perceive students’ emotions in real time is related to whether the description of the student’s state is accurate, and it is also related to whether the goal of achieving the students’ individual learning needs can be achieved. This paper studies the students’ boring emotion in English learning, and builds the recognition system of students’ boring emotion in English learning based on fuzzy neural network. Moreover, this paper combines the actual needs to construct the system function modules, and carries out the algorithm analysis and framework construction, and uses the mathematical modeling method to add the emotional factor to the English learner state modeling. In addition, according to the actual needs of the system constructed in this paper, the boring emotion of English learners is recognized. In addition, this paper designs experiments to verify the performance of the model, and analyze the system reliability from the theoretical perspective and the practical perspective. The experimental research results show that the model constructed in this paper meets the expected goals.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jie Li

With the rapid development of internet technology, various online learning platforms have emerged. The combination of the internet and education is an inevitable trend, and smart online learning platforms based on neural network become popular. This paper introduces how to design online English learning platforms through a neural network. It proposes the construction of a universally designed online English learning platform and the design of an online English learning platform server development architecture. Then, the implementation of online English learning platforms is discussed. Evaluation of the platforms is also very important, which is conducted through two questionnaire surveys. The first survey is general and the second one is more specific. Results of both surveys show that the learners’ demand for online English learning platforms is still growing, especially among the young learners. In addition, this paper reports the results of the feasibility analysis and performance test of online English learning platforms: (1) The well-designed online English learning platform has relatively complete functions and meets the needs of both students and teachers. It includes a series of functional modules such as students’ registration, analysis of students’ profile, courseware and learning resources management, test management, test score analysis, interactive discussion, online monitor and feedback. (2) There are no major defects in the implementation of the online English learning platform in this experiment. (3) The reliability and security of the online English learning platform are relatively high.


Author(s):  
Yanan Hao ◽  
Jiangyong Zhao ◽  
Kun Liang

Immersive teaching has achieved remarkable results in bilingual learning. This teaching method creates an immersive environment for learners to understand and use languages. This paper explores the influence of immersive teaching on the learning performance, interest, and satisfaction of Chinese English learners, and provides several suggestions on how to apply immersive teaching. The results show that immersive teaching improves the listening, speaking, reading, and writing abilities of students. One semester of immersive teaching improved the scores of listening, reading, speaking, and writing by 6.53%, 6.85%, 5%, and 4.73%, respectively; while two semesters of immersive teaching improved them by 12.46%, 16.03%, 13.55%, and 9.92%, respectively. Thanks to immersive teaching, the students’ interest in English learning soared, and their satisfaction with English learning surpassed 50%. This research lays a theoretical basis for promoting immersive teaching, and improving students’ English learning effect.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Limei Geng

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.


2020 ◽  
pp. 1-12
Author(s):  
Ping Hu ◽  
Lijing Diao

Under the Internet information network environment, College English teaching mode is faced with a new choice and transformation. SPOC and STEAM classes have multiple advantages, which can make up for the lack of a single teaching model and provide new ideas for teaching reform. It is a practical application of statistical method to optimize the model of artificial neural network by machine learning method of statistics. The application of mathematical statistics can solve some related problems of artificial perception. Therefore, artificial neural network has the same simple decision ability and judgment ability as human beings. In this paper, the authors analyze the image invariant features and SVM algorithms application in college English education platform. The results show that this method has a positive effect on learners’ English proficiency and learning effect. Teachers also avoid paying a lot of labor, which is very beneficial to the implementation of innovative teaching. However, compared with the traditional teaching, the phenomenon of student achievement differentiation is very serious, and teaching is facing great pressure. Therefore, improving students’ autonomous learning ability and teachers’ information literacy is still very helpful to improve the teaching effect.


Author(s):  
Lijun Bian

The change of social demand for English application-oriented talents has affected the transformation of the way of cultivating talents in College English. The traditional training mode of indoctrination has exposed more and more disadvantages, and the demand of new teaching mode is imminent. This paper first analyzes the current situation of College English learning platform in China. Then, it discusses the design and implementation of “Online + offline” College English learning platform based on Web. The overall structure and function of the database are designed in detail. The teaching platform provides students with learning tools, learning resources, communication platform, testing and evaluation functions, and can evaluate students’ learning behavior, learning process and learning effect. This paper traces and collects a large amount of data left by learners in learning college English courses, and analyzes learners’ learning habits, learning progress and learning effect. Finally, according to the learning big data, this paper customized a reasonable personalized learning platform and improved the online teaching personalized service system.


2020 ◽  
Vol 2 (1) ◽  
pp. 60-70
Author(s):  
Hadirotun - Nikmah

ABSTRACT This paper aim to review some theories and previous studies on the application of game-based learning platform to improve students’ engagement in learning English. Learning English is crucial and is not negotiable in an Industry 4.0 era to communicate and to collaborate globally. In fact, not a few students find it difficult and lack of enthusiasm in learning English. One of the major problems is the teaching method which is less interesting and tends to be boring. Therefore, one of the solutions to resolve this problem is through the implementation of gamification. One of the most well-known employed gamification tools is Kahoot. Kahoot is one of the most used application to impove students’ engagement in learning English. Kahoot is a free game-based learning platform that can be used by teachers and students. Hence, this paper will describe at first the challenges in teaching English language in digital era. Further, it discusses the theory of gamification in education, advantages of gamification, the description of Kahoot, advantages of using Kahoot and how to apply Kahoot in English classroom. Some previous research highlighting the effect of using Kahoot on the students’ engagement in learning English is the main point covered next. The last part of this paper will present conclusion and pedagogical implication as a closing note. Keywords : gamification, Kahoot, students’ engagement


2014 ◽  
Vol 519-520 ◽  
pp. 1675-1678
Author(s):  
Shu Hua Wang

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.


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