Design Of Teaching System Research Articles

Design of In-Depth Multi-intelligence Teaching System under the Mixed English Teaching Mode

After the implementation of the hybrid network-based English teaching system, a wide-ranging trial was carried out in schools. Although the trial time was not very long, according to the feedback given by the students, it is not difficult for us to find that the practicability of the English network teaching system is very strong, which is very suitable for current college students. The main goals of this research are the application development of the open source Moodle course management system and the practical design and realization of the English network teaching system based on in-depth research on the Moodle system and the secondary development technology. In view of the development of the existing English online teaching system in China and the current situation of domestic audio-visual information construction, it is planned that Moodle, an open source and free software system that fully complies with the CPL and GPL protocols, is used to teach the English language through in-depth research on the software support system. The software bottom layer supports the network teaching system and then uses PHP and web technology to expand and integrate system functions according to different needs and finally realize an English network teaching system suitable for college students at this stage.

Application of an Internet of Things Oriented Network Education Platform in English Language Teaching

China’s information technology development is rapid; the organic combination of science and technology and education has promoted the reform of the education system; the education platform supplemented by mobile devices provides students with a new learning mode; student learning is no longer limited by the traditional education system; and learners can use mobile terminals for online learning, self-control learning steps, arrange learning time, and be able to combine their own deficiencies to strengthen learning content. Therefore, this paper discusses the design of English education teaching system in the Internet of Things technology environment, in order to provide students with a good learning environment and improve students’ English integration strength. This paper analyzes the research status of mobile learning at home and abroad, expounds the construction principles of mobile English learning system, and designs and studies the overall structure and functional modules of the system. The application of the system can replace the traditional English learning method and can enable students to improve their English ability through mobile devices. In view of the problems of poor teaching effect and high energy consumption in the traditional Internet of Things education platform, this paper puts forward a teaching effect evaluation method of Internet of Things education platform based on long-term memory network. By analyzing the current situation of the Internet of Things education platform, including its development and structure, this paper constructs the evaluation model of the combination of long-term memory neural network model and gray model and realizes the evaluation of the teaching effect of the Internet of Things education platform. Finally, through the study of the model, the teaching effect of the Internet of Things education platform is evaluated. The experimental results show that when the method is used to evaluate the teaching effect, the operating energy consumption accounts for 84% of the total energy consumption of the system, which proves the effectiveness of the method.

Design of Music Teaching System Based on Artificial Intelligence

This paper analyzes the application basis of AI technology in music teaching and realizes the extraction of music features. In addition, an intelligent music teaching model based on the RBF algorithm is constructed, which determines the way of music learning, and thus, an intelligent music teaching system is designed. The system constructed can realize the effective interaction between teachers and students, improve learners’ singing style to the maximum extent, and play a good auxiliary role in students’ music knowledge learning.

Optimal Design of Language Teaching Strategy System Based on Smart Video Mode.

The accuracy of video and goal enables students to learn and strengthen their ability constantly. Strengthening our country's study initiative degree can promote student study more effectively. As a new teaching method, students can not only obtain the basic knowledge, learning priorities, and difficulties needed for learning through video, but also understand the content of the text, the content of the article, and even cultivate students' interest in many related languages, such as writing, text, sound, image, color, and video, which can be displayed, clarified, and displayed intuitively, creating a free and relaxed learning environment, an interesting background teaching process, encouraging students to experience emotion, including physical experience, and being open and open. Establishing a complete and comprehensive ideological channel to further improve students' acceptance of information is helpful for students' analysis and training, understanding, and evaluation. Therefore, this paper first identifies video and excavates the intrinsic value of video application. This can provide technical and methodological support for the design of video teaching system.

Analysis of College Art Teaching System under the Background of Video Big Data Technology

Art teaching needs not only learning art knowledge but also a lot of practice and aesthetic appreciation. However, traditional teaching methods cannot provide students with a large number of relevant learning materials, which is not conducive to improving students’ classroom enthusiasm. This paper presents the design and implementation of college art teaching system based on video big data technology and combines video recommendation algorithm with the Django teaching video website. The system analyzes the preference needs according to the behavior data of students watching videos and recommends videos for students. At the same time, the system can also evaluate the quality of the video content according to the behavior of students watching videos, reverse classify the video, and then optimize the recommendation results. The video recommendation algorithm model based on user behavior is better than the traditional collaborative filtering recommendation algorithm and fully connected neural network collaborative filtering algorithm. It can reduce the range of users who need similarity calculation and improve the accuracy of recommendation algorithm. The experimental results show that the fully connected neural network collaborative filtering algorithm has good recommendation performance and stability, can reduce the computational complexity, and can improve the recommendation accuracy. The teaching technology integrated through the Internet can greatly improve students’ enthusiasm for art teaching.

Improvement Design of Functional Modules of College English Network Teaching System Based on Decision Tree Algorithm

English courses are a compulsory course for non-English core courses. Studying English at university is an important part of studying at a non-English university. The purpose of a university education in English is to enhance the comprehensive language skills of students in English. In this way, they can communicate effectively in English during future work, study, and social interactions, while strengthening their ability to meet the needs of social development and international exchange. The functional improvement design of the college English network teaching system will help the system to provide technical support and services for college English teaching more effectively. It can more effectively cultivate students’ language communicative ability and autonomous learning ability. This article first improves the practical units of the education system and then adds the decision tree algorithm. It uses improved decision-making algorithms to evaluate student performance with an improved learning system. The number of leaf nodes of the improved decision tree algorithm on the three datasets is 19, 14, and 15, respectively, and the number of summary points is 27, 23, and 7, respectively.

Promotion Strategy of Ideological and Political Education Management in Colleges and Universities Using Clustering Techniques

Computer-based technologies have changed our daily lives, such as the way we live, interact, learn, and play. Data collected through these technologies are now being used to support the second round of revolution in all of these areas. Data mining (DM) research has progressed rapidly in recent years, and the information design of educational management systems has also progressed significantly. Using big data technologies, several educational management systems have collected a great deal of information. However, the DM implementation in educational management systems is still in its initial stages. The use of DM techniques in educational management systems is theoretically important and practically useful. With the advancement of information technology (IT) in the field of college education, the present ideological and political theory courses in colleges and universities have gradually developed into information-based teaching, which has increased teaching efficiency and quality. This paper investigates the “work assessment quantitative table” of ideological and political education (IAPE) administration in universities using data mining and clustering technology techniques. In addition, this study utilizes the k-means clustering algorithms to analyze the data from the “work assessment quantitative table” of IAPE of university administration, which successfully overcomes the limitations and inadequacies of standard analysis approaches.

Design of a Multimedia-Assisted Distance English Teaching System for College Students.

To address the problems of poor compatibility, weak load capacity, and time consumption of existing multimedia-assisted teaching systems, we propose and design a physics multimedia-assisted English teaching system based on a concept network. The architecture of the physics multimedia-assisted teaching system is constructed with the logical layer as the core, and the theoretical knowledge module, experiment module, and student practice module are designed, respectively. Based on the concept network, a large number of rules in the physics teaching system are attached to the concepts to form the concept network knowledge system and complete the design of the theoretical knowledge system. This paper explores the multimedia teaching of college English and points out the advantages and characteristics of this teaching mode and the problems to be paid attention to in the process of application. The design of the physics multimedia-assisted teaching system is completed by realizing students' practice and giving feedback on the practice results. The experimental results show that the system has good compatibility, strong load capacity, low time consumption, and practical application value.

Design and Implementation of Intelligent Teaching System Based on Artificial Intelligence and Computer Technology

The purpose of this paper is to investigate and research the intelligent teaching system based on artificial intelligence (AI) and computer technology, which can provide a better education platform for the majority of education and teaching workers and also help college students improve their learning efficiency. This paper first introduces AI, system modules, computer technology, and some algorithms for establishing intelligent teaching systems, specifically introducing student modules, Bayesian algorithms, and so on, and then introduces intelligent teaching based on AI and computer technology. The experimental results show that the intelligent teaching system based on AI and computer technology has improved the teaching efficiency and management ability of the school, and the help of students has also played a great role. The intelligent teaching system not only helps students improve their learning efficiency by 9.8% but also is favored by 56.8% of teachers and students.

Interactive Design and Management Method of Art Teaching System in Colleges and Universities under the Background of Big Data

Now, there are some problems in the art teaching system of colleges and universities, such as low management efficiency. However, with the development of big data technology, big data has been applied to the design and management of art teaching systems in colleges. Firstly, a model of art teaching system through the relevant big data was established; then the process of establishing the model was also discussed. Subsequently, based on the interactive design method and Hyperlink-Induced Topic Search (HITS) algorithm as the web design mode, this paper establishes the teaching system management platform and applies it to the art teaching in colleges and universities. The teaching evaluations of students and teachers of different grades were analyzed, and the application prospect of the teaching system design and management platform was obtained. In general, this paper indicates a theoretical reference for optimizing the effect of art teaching and realizing the design and management method of art teaching system under the background of big data.

To stitch: trying Platonov

[Abstract in English is below] Актуальность данного исследования обусловлена высокими темпами развития современной практики дистанционного обучения, необходимостью анализа и теоретического осмысления новых форматов обучения в русле компьютерной лингводидактики. В связи с этим целью исследования является анализ перспективы использования мобильных учебно-игровых приложений в качестве средств закрепления и контроля усвоения материала, диагностики языковых ошибок. Предметом исследования, описываемого в настоящей статье, является методика использования мобильных учебно-игровых приложений в обучении русскому языку. В настоящей работе использовался комплекс методов, адекватных предмету исследования: метод непосредственного наблюдения; описательный, включающий в себя наблюдение, сопоставление данных, классификацию объектов исследования, обобщение и интерпретацию полученной информации. Использовались также эмпирические методы: изучение и обобщение педагогического опыта, методический эксперимент и анкетирование. Теоретической и методологической основой послужили материалы современных отечественных и зарубежных исследований, посвященных изучению практики использования электронных игровых технологий, в том числе основанных на компьютерном моделировании трехмерного интерактивного пространства, мобильных технологий, компьютерных игр и приложений в обучении русскому языку. Результатом исследования стало описание и характеристика использования учебно-игровых мобильных приложений в обучении русскому языку на примере приложения «Приключения Киберкота». Перспективы применения данного вида приложений как средства обучения анализируются в лингвометодическом аспекте – на основе результатов эксперимента – и в психолого-педагогическом аспекте – по материалам анкетирования обучающихся. Сформулирован принцип имплицитного контроля усвоения языкового материала, определено место учебно-игровых приложений в общей классификации мобильного программного обеспечения. Также в статье рассматриваются понятия «геймификация» и «образовательный киберквест» применительно к области мобильных учебно-игровых приложений. Результаты исследования могут быть использованы при проектировании и разработке учебно-игровых программных комплексов и приложений. Расширение практики использования подобных электронных образовательных систем позволит открыть новые перспективы в обучении и самообучении русскому языку. Основные ожидаемые результаты использования подобных приложений – это оптимизация учебного процесса (в т. ч. внеаудиторного обучения) как для обучающихся, так и для педагогов, повышение мотивации обучающихся к изучению русского языка, снижение негативных психологических эффектов восприятия учащимися образовательного процесса. Для расширения подобной практики в качестве средства обучения предлагается рассматривать учебные мобильные приложения, разработанные на основе игровой механики, примером которых может служить приложение «Приключения Киберкота», разработанное научно-техническим коллективом Государственного института русского языка им. А. С. Пушкина. The urgency of this study can be attributed to the high pace of development of modern distance learning practice and the need for analysis and theoretical understanding of new training formats in line with computer linguodidactics. In this regard, the purpose of the study is to analyze the prospects for using mobile training and gaming applications as a means of fixing and diagnosing language mistakes and controlling the acquisition. The object of research includes the methods of application of mobile learning game apps in teaching Russian. The theoretical and methodological basis included modern Russian and foreign studies devoted to the problems of the use of electronic gaming technologies, specifically those based on computer modeling of interactive 3D space, mobile technologies, computer games and applications in Russian language teaching. The article employs a complex of methods adequate to the object of study: the method of direct observation; description including observation, data comparison, classification of research objects, generalization and interpretation of the information received. It also uses empirical methods such as analysis and generalization of pedagogical experience, methodological experiment and questionnaires. The study has resulted in a description and characterization of the use of mobile educational and gaming applications in teaching Russian basing on the example of the app “Priklyucheniya Kiberkota” (The Adventures of Cybercat). The perspectives of use of this type of apps as a learning tool are analyzed in linguometodological aspect, based on the results of the experiment, and in the aspect of pedagogical psychology, based on answers to the questionnaire. The implicit control principle was formulated, and the place of educational and gaming applications in the general classification of mobile software was determined. The article also discusses the concepts of “gamification” and “educational cyberquest” in the field of mobile educational and gaming applications. The research results can be used in the design and development of educational and game software systems and applications. The expansion of the practice of using such electronic educational systems will open up new vistas in the Russian language teaching and self learning. The main expected results of using such applications are: optimization of the format of extracurricular education, an increase in motivation and a decrease in the negative psychological effects of students’perceptions of the educational process. In order to expand this practice, it is proposed to consider educational applications developed on the basis of game mechanics as a learning tool. The proper example is “The Adventures of Cybercat” application developed by the scientific and technical team of the Pushkin State Russian Language Institute.

Network Audio Data and Music Composition Teaching Based on Heterogeneous Cellular Network.

With the rapid development of services such as Industry 4.0 and Internet of Vehicles, it is difficult for traditional cellular networks to meet the needs of network users for quantification, diversification, and greenness in the future. Various cellular networks expand multiple micro-cell nodes and relay nodes under macro-cells to form a multilayer network architecture. Based on this, in the process of data transmission, the links have been repeatedly reduced, and at the same time, the terminal power consumption has been reduced and the running system has been improved. This article will use the ratio of the capacity, energy consumption, and resource allocation of different cellular networks as the main means to optimize the cost. Using graph theory, auction theory, and multipurpose optimization algorithms, we have conducted in-depth research topics on upstream and downstream wireless resource allocation, network relay deployment and transmission scheduling, MMW large-scale multi-antenna transmission technology, and base station energy management. A series of optimization schemes and algorithms are proposed. This dissertation is based on the research of educational system design theory in the field of educational technology so as to carry out the research of music education system design theory suitable for the nature of music subjects and learning and education characteristics. Based on the necessity and importance of music education system design theory, the research framework of music education system design theory is constructed in advance. The voice data acquisition system collects voice data through a network grabber and real-time recording and uses signal processing and pattern recognition technology to automatically classify the collected voice data into three categories: voice, environmental sound, and music. After establishing the audio data deployment strategy, simulation method, and architecture design based on heterogeneous cellular network, this paper designs the corresponding music composition teaching system, mainly including score editing, viewing, and content display of the composition teaching system, and the final test shows that the system designed in this paper can be effectively used in various music school teaching combined with heterogeneous cellular networks.

Design of English teaching system using Artificial Intelligence

The process of English teaching is significantly affected by various technological advancements like the Internet of Things Video (IoTV). We start with the analysis of the actual teaching process of English and the direction of student feature recognition. We explore the IoTV reform to use the interpolation method for the student image-based feature recognition algorithm. Accordingly, we discover an intelligent algorithm for student feature recognition to improve the effectiveness of the IoTV. The intelligence algorithm for student feature recognition is designed using the Artificial Intelligence (AI) method. The proposed model combines voice recognition and text-to-speech technology to create functional modules of an English teaching system that change the traditional teaching mode and adjust teaching strategies in real-time based on student status based on feature recognition. Finally, this study demonstrates the practical effect of AI on the IoTV system through student feature recognition and classroom instruction assessment. Experiment outcomes reveal the efficiency of the AI-based IoTV system.

Design and Implementation of Computer-Aided Art Teaching System based on Virtual Reality

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

Design and Optimization Method of Computer-Aided Teaching System based on Virtual Reality

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

Innovative Research on College English Teaching Mode Based on Strategy Reasoning Mechanism

In the era of artificial intelligence, the traditional English teaching methods cannot meet the increasing demand of course learning at this stage. Therefore, in this paper, a brand-new English teaching model based on strategic reasoning mechanism is designed by analyzing the problems faced by construction of network curriculum in universities. By introducing the idea of artificial intelligence, the student model and teacher model are designed, and the separation of teaching content and teaching strategy is realized. The development of the system adopts B/S structure and relies on lightweight J2EE multitier framework. At the same time, the overall architecture, functions, and processes of the teaching system are analyzed and designed. The system is convenient to transplant and expand, which has certain practical value and can provide reference for the design of various teaching systems and the innovation of teaching modes.

Design and Development of Human Excretory System Model to Teach A Biology Concept in Ilorin, Nigeria

Meaningful instruction takes place only with the appropriate use of instructional materials, especially in their real form. Inability to have access to mammalian internal organs is one of the challenges in teaching some concepts in Biology. Lack of practical experience in the teaching and learning of Biology that leads to poor mastery of important scientific skills and concepts could be among those factors responsible for students’ poor performance in Biology. Hence, the need to design and develop the Model of Human Excretory System (MHES) to teach Biology concepts in secondary schools. The study was a developmental research design, ADDIE instructional system design model was adopted in the production and evaluation of the model. The development involved four out of the five stages of the ADDIE model. The adapted phases include ADDE; these are Analysis, Design, Development, and Evaluation. Findings of this study revealed that: The model of the human excretory system was successfully developed using four (ADDE) out of the five stages of the ADDIE model as a guide and the cost of developing the model of the human excretory system was determined and found to be cheaper through the use of locally sourced materials.

Design of Interactive Teaching System of Physical Training Based on Artificial Intelligence

Nowadays, with the continuous change and innovation of teaching methods in Colleges and universities, the curriculum system of students is also constantly enriched and developed. Therefore, people’s requirements for teaching management and teaching system are also improving. Physical education curriculum is usually based on outdoor teaching, and some schools have not established a complete teaching system. Therefore, the interactive teaching system of physical training based on artificial intelligence is designed. First of all, through the construction of the interactive teaching system of the total control circuit, determine the corresponding circuit address decoding, improve the audio control circuit, associated video connection interactive drive three parts, the intelligent sports training interactive system hardware design. Then, through the creation of intelligent training function module, the design of training database and the realisation of effective training and teaching of intelligent sports, the software design of intelligent sports training interactive system is carried out. Finally, through the test of the system, to verify the corresponding effect, further improve the relevant system, make it more safe and accurate, improve the efficiency of sports training interactive system, enhance the integrity of the teaching process.

Design and evaluation of intelligent teaching system on basic movements in PE

Abstract For a long time, the situation of students’ learning in physical education (PE) was not optimistic, especially the basic movement learning after class, which lacked effective online learning tools. With the in-depth research of deep neural network and the rapid development of computer hardware, the artificial intelligence technology based on deep learning has performed well in the field of basic teaching. Therefore, in this paper, an intelligent teaching system of basic movements in PE is designed. First, the information of coordinate points is collected according to the Gaussian model, and the pose of students is estimated by OpenPose. Second, the overall architecture and functional modules of the system are designed. Finally, the deviation limbs that affect the standard of overall movements are identified by the matching algorithm, which realises the evaluation and feedback of basic movements in PE. Through this teaching system, teachers can obtain the learning situation of students’ movements, and students can adjust their movements through the feedback, which achieves the convenient interaction of PE teaching.

Intelligent Campus and English Visual Education System Design Based on Internet of Things

With the continuous development of the Internet of Things technology, learning and acquiring knowledge through Internet will become an important way for human beings to learn, work, and conduct research. In the field of English language teaching, the cutting-edge research on the Internet of Things-based interactive teaching models is important. The intelligent campus is a new type of campus built aided by advanced techniques such as machine learning and the Internet of Things. In the smart campus, the classroom usually consists of a tangible physical space and an invisible digital space, which can be used to support teaching content through various types of intelligent equipment, promote classroom interaction, and achieve more convenient visualization of educational functions. Based on the initial results of the Internet of Things research, this research establishes a visual education system based on the Internet of Things. At the same time, the Internet of Things is used to study the interactive English teaching mode in order to improve the level of English teaching and thus enhance the technology level of the intelligent campus.