English Learning Platform Research Articles

To Implement Computerized Adaptive Testing by Automatically Adjusting Item Difficulty Index on Adaptive English Learning Platform

To Implement Computerized Adaptive Testing by Automatically Adjusting Item Difficulty Index on Adaptive English Learning Platform

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

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.

PERCEPTIONS OF BORDER AREA LECTURERS AND STUDENTS REGARDING THE USE OF COMPUTER TECHNOLOGY AND SMARTPHONE APPLICATIONS IN LEARNING ENGLISH

This study aimed at exploring the use of computer technology and smartphone applications in the learning of English. A case study design using questionnaires and interview data was expected to reveal lecturers and students' perceptions comprehensively. The data obtained were analyzed with quantitative and qualitative data analysis in descriptive statistics and coding. This study indicated that computer technology and smartphone applications in learning English could smoothly run if the internet network was stable and there was a sufficient data quota. In its use, both lecturers and students needed to coordinate well regarding the English learning platform used. Both lecturers and students needed to prepare, implement structured learning, and pay attention to learning evaluation.

An English Mobile Learning Platform Embedded in GSM-R Wireless Network Communication

English mobile learning platform is affected by external interference signals, resulting in poor remote transmission ability of English information. To solve this problem, a design of the English mobile learning platform based on the GSM-R wireless network communication system is proposed. The overall framework of the English mobile learning platform is designed. MSP430F149 single-chip microcomputer is selected as the hardware microcontrol unit of the platform, and R-C reset circuit is designed. The reset circuit is used to reset the single-chip microcomputer platform to prevent external signal interference. The modem is initialized according to AT instruction, and the main program flow of the single-chip microcomputer of the English mobile learning platform is designed on this basis. GSM-R wireless network communication system is used to plan the course module. After planning, the platform operation management function is designed, the interactive learning environment is established, the user information template is designed, and the platform database is built. The experimental results show that the designed English mobile learning platform can meet the learning needs and improve students’ comprehensive ability after application.

The Students’ Perceptions on Using Blended Learning for English Learning during Covid-19 Pandemic

<em>The policy of remote learning (PJJ) during the COVID-19 pandemic caused new problems for the students. The Implementation of the teaching and learning process has totally changed from face-to-face into online learning and some schools tried to integrate offline and online learning. This research objective was to see the students’ perception of the use of blended learning in English classes. The Subject of this study is Mechanical Engineering Students 4<sup>th</sup> Semester of STTR Cepu. This study uses a descriptive quantitative design. The researcher took data from a questionnaire on the students' perceptions in the use of blended learning which was consisted of 19 questions and an observation checklist to crosscheck the students’ answers in the questionnaire. Then, analyzing the data descriptively and measuring it using a Likert scale. The results of the study showed the students’ positive response toward the implementation of blended learning since it has great benefit in the teaching and learning process. The implementation of the blended learning method in English lessons required the teachers’ creativity in providing an English learning platform. This research also revealed the weaknesses of Blended Learning. The success of the implementation of blended learning depended on the availability of the facilities like internet access and network in applying that method. In addition, the knowledge of using technology was necessarily mastered by the teachers and the students.</em>

Integration of “Offline + Online” Teaching Method of College English Based on Web Search Technology

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.

Optimization of English Learning Platform Based on a Collaborative Filtering Algorithm

This paper provides a detailed description of the recommendation system and collaborative filtering algorithm to optimize the English learning platform through the collaborative filtering algorithm and analyses the algorithmic principles and specific techniques of collaborative filtering. After introducing the recommendation system and collaborative filtering algorithm, this paper elaborates on the theoretical basis and technical principles of the recommendation algorithm based on cognitive ability and difficulty and provides an in-depth analysis of the design and implementation of the recommendation algorithm by combining cognitive diagnosis theory, readability formula, and English knowledge map, which provides a comprehensive and solid theoretical guidance and support for the application development of the online English learning platform. The system is tested by building a Spring Cloud platform, importing actual business data, focusing on the validation of the recommendation model, and connecting the recommendation system to the formal production system to analyse the recommendation effect. Compared with the original recommendation method, the online English learning platform designed and implemented in this paper based on the cognitive ability and difficulty collaborative filtering recommendation algorithm has a better recommendation effect. The system is proved to be well designed and has certain reference and guiding value for the whole web-based online learning platform and has a broader application prospect nowadays and in the future.

English Learning Platform Student Behavior Analysis in Buying Courses by Using Data Mining Techniques

English Learning Platform is an online English learning platform which utilizes subtitled YouTube video as learning platform. This learning platform is said to be personalized, by recommending next material based on how well one performs for each exam given per video. If students are able to learn successfully, they may have a tendency to buy more courses. Our goal is to use data mining techniques to research on the relationship about number of courses that students purchase with their learning behavior. After comparing 5 methods by using 4 machine learning algorithm we found that student score attributes has stronger impact to determine the number of packages that bought by students and the login frequency doesn’t affect the number of purchased courses. The neural network algorithm gives the best accuracy which around 90% compare to another algorithm there are decision tree, random forest, and k-means.

Developing Little Bridge as an evidence-informed English language learning platform for 6–12 year olds

English is considered by many to be the global language of business and communication and, as such, parents and educators in countries in which English is not a native language are now encouraging children to study English at a young age. Much second language teaching and learning, however, does not take into account the real-world context within which language will be put to use. Little Bridge has developed an English language learning platform for students aged 6−12 years, within which learners acquire English vocabulary and skills and are able to apply what they have learned in real conversations with other English learners around the world. As part of UCL’s EDUCATE research accelerator programme, Little Bridge worked with a mentor to design and conduct mixed-methods research into the relationship between this social aspect of their platform and students’ achievement in learning English. Findings suggested that Little Bridge users who are the most active participants in the platform’s social network also complete more of the platform’s learning activities and achieve better results than those with the lowest social participation rates. The relationship between the academic mentor and Little Bridge enabled the company to develop a research mindset, understand the value of the data that they already have, and improve their understanding of the platform.

Design and implementation of english learning platform for college school students based on virtual community and image processing technology

With the deepening internationalization of China’s economy and society, English has gradually become a common language for Chinese people to connect with the world, and plays an increasingly important role in daily life. At the same time, Chinese people’s mastery of English is gradually improving. Grasping the foundation of this period can effectively improve students’ English level, and it will play a very important role in further learning English or job hunting in the future. Therefore, how to improve the interest of college school students in English learning and improve their ability and level of English learning is particularly important. Virtual community refers to a group of people who communicate and discuss through the Internet and are willing to share some knowledge and information in the exchange, and gradually develop into a social network aggregation. This paper designs an English learning platform for college school students based on virtual community and image processing technology. The platform is developed with SSM framework. After the development, the platform is tested for college school students in several schools in Xi’an. The experimental results show that the system can effectively stimulate students’ interest in learning English, and then improve students’ vocabulary and academic performance, which provides an effective reference for the study of students’ learning methods.

Design, Implementation, and Evaluation of Online English Learning Platforms

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.

Using Artificial Intelligence in Learning English as a Foreign Language: an Examination of IELTS LIULISHUO as an Online Platform

EFL (English as a foreign language) learners seem destined to make errors and continuously need to test their changing language levels. However, the unbalance between supply and demand always exists in the process of learning English. Teachers sometimes are also tired of doing repetitive jobs to correct the same mistakes of nonnative speakers. Therefore, many researchers tend to improve the efficiency of learning and teaching processes by using computer-assisted instruction. Specifically, artificial intelligence software is an unstoppable trend to solve this problem. This study aims to find which characteristics in IELTS Liulishuo (an artificial English-learning app to improve IELTS performance) are following the elements of computer-assisted language learning (CALL) pedagogy (Chapelle, 2003). Meanwhile, it will also be evaluated under the mobile-assisted language learning (MALL) principles and some concepts of AI-powered foreign language software, as was put forward by Stockwell (2013) and Pokrivcakova (2019). The results showed that IELTS Liulishuo has affordability to be used as an online platform for foreign English learning. More importantly, it shed some light on CALL pedagogy and the design of artificial applications of foreign language learning.

A Study on the Educational Efficacy of a Maritime English Learning and Testing Platform

According to international regulations, it is mandatory for navigators or engineers to acquire suitable skillsets before their designation as a duty officer on board. One of the most important elements is Maritime English (ME), wherein students are taught a required set of basic skills that enable them to process various documents related to accidents, ship conditions, and inspections. Students have to be equipped not only with the use of general English skills but also with the coherent use of technical terms and phrases. However, due to the unique circumstances that exist in the maritime domain, the methods used for imparting maritime knowledge and the manner in which it is evaluated are restricted. Hence, this study aims to utilize an online Maritime English learning and testing platform that can be accessed on smart devices to analyze its impact on the students’ learning process. An experiment was conducted on two groups of cadets, one that used the platform and another group that did not. After six-week, the experiment results showed a significant difference between the ME test scores of the two groups. The test scores were further analyzed by incorporating the students’ personal elements to measure the efficacy of the ME test platform. Therefore, the learning and evaluation processes are expected to be implemented in ways that are appropriate and convenient to specific circumstances and be widely used in the field of maritime education in the future.

Risks and Strategies of News Translation: A Case Study of Qingting English APP

English learning platforms in China are increasingly popular among students. More features are developed and a wide range of contents are included to serve the diverse need of English learners. Despite the increasing amount and diversity of contents, its quality varies. This research discusses some problems and strategies of news translation from English to Chinese. Samples are all taken from one English learning platform, Qingting English APP, with source text from news media such as VOA, CNN and BBC, and target text provided by the platform. These major problems emerged during our study: 1) Some contents involving ideological differences are not treated properly in translation; 2) Many complex informative sentences are poorly translated; 3) Source news are sometimes incorrectly transcribed, leading to mistaken translation. By analyzing some possible risks of the existing problems, this study, in light of the risk management framework, provided some applicable strategies to achieve better translation for learners using Qingting APP. Firstly, it is advisable to avoid the potential risks by omitting/ rewriting some extremely controversial content, or to transfer the risk to other sources than the platform by marking/labeling the strongly biased report. Secondly, domestication strategy is preferable in translating English complex sentences into Chinese since it minimizes the communication risk between translators and target learners. Thirdly, a responsible translator is advised to fix errors of the source audio/text to exactly comprehend the original news so as to reduce the uncertainty risk.

Image invariant features and SVM techniques for college level English learning platform

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.

Optimizing EIL Using “Memrise” As A Builder Students’ Vocabularies

Although the online English learning platform currently is interesting and entertaining and it can improve language acquisition, pronunciation, four integrated skills but it still becomes difficult to be used in English learning. Therefore, people must be mastering high technology to support their daily life and get much information instantly and accurately. In this article, the writer would like to introduce a suitable platform in English learning. English is considered as an international language (EIL) and the purpose is to facilitate communication of ideas, thoughts, feelings, knowledge, and culture, the language is a medium. Moreover, English can be taught by using Memrise Application in order to encourage students to learn English. train students in Communicative Competence and optimize the effectiveness of English Language Teaching. After reading this article, the writer expects that this article can help English teachers to apply this platform for English teaching in Indonesia. For this reason, teachers need to develop strategies that are appropriate to the characteristics of millennial students and be able to make it reach the competencies specified in the learning objectives. In this case, the use of media is also needed in innovative learning. Innovative learning using learning strategies and the use of media is very important to create effective English language learning, especially the current COVID-19 pandemic situation.

An Analysis of the Differences in the Perception of Elementary and Secondary Teachers of English Learning Platform Based on Artificial Intelligence

An Analysis of the Differences in the Perception of Elementary and Secondary Teachers of English Learning Platform Based on Artificial Intelligence

Current Situation and Analysis of College English Teaching Resource Database in English Teaching

<p>College English, as a compulsory course in college, requires students to put a lot of energy into it. While providing students with high-quality teachers, colleges and universities should also create a good English learning environment for students. According to each student's learning habits and English foundation, an English learning platform should be built for students to meet the needs of different students as much as possible, that is, college English teaching resource database. The establishment of English teaching resource base should be based on information and network technology and popularized through campus network. At present, online English teaching resources on campus are insufficient, relevant equipment is idle, and teaching resources are seriously wasted, which cannot stimulate students' interest in learning English and cultivate their self-learning ability. This paper discusses the application and improvement of the existing college English resource base.</p>

Gender Differences in Cognitive Loads, Attitudes, and Academic Achievements in Mobile English Learning

Studies on gender differences in mobile English learning are in their initial stages. College English IV, designed by a number of professors and engineers in a university in China, serves as a mobile English learning platform. This study aims to determine gender differences in cognitive loads, attitudes, and academic achievements in English language learning assisted with this mobile English learning platform. Through a mixed research design, 79 randomly selected participants join the research, together with interviews and posts to collect qualitative data. Cognitive loads, attitudes, and academic achievements are measured through related scales to collect quantitative data. It is concluded that there are significant gender differences in cognitive loads, attitudes, and academic achievements in English language learning assisted with the mobile learning platform. Future research on gender differences in mobile English learning should also examine relationships between gender differences, learner motivation, achievement goals, and learning outcomes.

Applying ‘Sketch Engine for Language Learning’ in the Japanese English classroom

The application of online authentic language data has played an increasingly important role in language teaching. These include freely available online corpora such as the British National Corpus and the Corpus of Contemporary American English. However, students are easily overwhelmed by the enormous amount of incomplete sentences (concordance lines) contained therein and therefore may fail to consult keywords and expressions as a resource tool. As an alternative resource a new web-based platform for English language learning, called Sketch Engine for Language Learning (SkELL), has been developed. Unlike the aforementioned corpora, SkELL generates sufficient amount of complete sentences which help students learn multiple examples of lexical and grammatical items in context. However, little research has been conducted as to how Japanese students with lower English proficiency assess the efficacy of SkELL. This study aims to examine the potential and limitation of SkELL in the language classroom for Japanese students who have almost no online experience in educational settings. The findings indicate that there is a close relationship between students’ view of the utilisation and efficacy of the resource and their attitudes toward English education. The study concludes with a discussion of pedagogical implications of the use of SkELL as a valuable educational tool for students who are accustomed to traditional English language learning.