Aided Instruction System Research Articles

Research on Deep Learning-based English Vocabulary Teaching Aid System in Colleges and Universities

Abstract Currently, English teaching in colleges and universities faces the challenge of low efficiency in vocabulary teaching. Deep learning technology, an advanced artificial intelligence technology, provides new ideas for solving this problem. Constructing an efficient teaching aid system can achieve personalized vocabulary learning and significantly improve learning efficiency and effectiveness. Aiming to address the efficiency and effectiveness problems in English vocabulary teaching in colleges and universities, this study develops an English vocabulary teaching assistance system based on deep learning. Deep learning algorithms allow the system to analyze students’ learning habits and abilities and provide personalized vocabulary learning suggestions. The research constructs neural network models, uses big data to explore students’ learning behaviors, and develops an intelligent pushing mechanism. The system in this paper achieved face recognition accuracy of 81.08% and 98.84% on the FER and C.K. datasets, which verify the model’s effectiveness. Through the teaching experiments conducted on two classes in Y school in W city, the average score of the English vocabulary test of the class taught with this system increased from 75 to 93, significantly higher than that of the traditional teaching methods. This auxiliary system can improve the effectiveness and efficiency of English vocabulary learning, which also offers new technical support for English teaching in colleges and universities.

Design of Basketball Teaching Aid System Based on Artificial Intelligence

Abstract Artificial intelligence has penetrated every aspect of people’s lives with the rapid development of science and technology. In basketball, how to effectively utilize artificial intelligence technology to improve the effectiveness of training has become a problem worth studying. A Mediapipe-based 3D human posture domain adaptive detection method is proposed in the study by combining statistics and human limb proportion simulation. The modified SVM classification algorithm is used to compare and classify the newly acquired key point data information of the system with the standard basketball action key point data information preset by the system to judge whether the basketball action is up to the standard or not, so as to design the basketball teaching aid system based on artificial intelligence. Based on this basis, after testing the recognition performance of the system, its practical application effect is explored. The total basketball scores improved after the experiment (86.26±2.228 for the experimental group and 81.34±9.672 for the control group), but there was no significant difference (P>0.05). The control group was slower than the experimental group by 0.64 seconds and 0.77 seconds overall in the cross-step breakout time with the ball and the same-side step breakout time with the ball, respectively, indicating that the experimental group was more proficient in basketball technology. The system has been tested in various ways to meet the multiple needs of the users, meet the expected standards, and be able to be applied in real-world scenarios.

Research on Evaluation of Online Education Effectiveness Based on AI Teaching Aid System

Abstract In the age of technology, the application of intelligent assistive systems in teaching is getting more and more attention. After systematically describing the framework of the AI teaching assistance system and the process of online education effect evaluation, the study selects the course of an AI teaching assistance platform as a research case, collects the students’ learning behavior data, and applies the K-means-based clustering algorithm to divide them into clusters to obtain the learner portrait. The association rule algorithm based on Apriori is used to initially mine the connection between online learning behavior and educational effects. Furthermore, the multivariate linear regression method is applied to determine specific associations between online learning behaviors and educational effects to complete the assessment of online educational effects. Through the analysis, four types of learners were summarized: general (37.89%), negative (6.84%), interactive (9.48%), and positive (45.79%). Significant correlations between students’ online learning behaviors and educational outcomes were obtained, with regression equations between them. The effectiveness of online education is greatly influenced by students’ time commitment and learning motivation. Subsequent teaching can start from these two aspects to promote the improvement of the quality of teaching in online education.

Synergistic Coupling Mechanism of Digital Media Art and Vocal Talent Cultivation

Abstract In the field of higher education in today’s era, cultivating vocal talents is crucial. This paper focuses on an innovative mechanism in vocal talent cultivation, i.e., enhancing vocal education by constructing a music recognition model based on Fourier algorithm. The Model is further applied to design a teaching aid system incorporating reinforcement learning to realize the synergistic development of digital media art and vocal talent cultivation. After rigorous testing, we found that the music recognition model has an accuracy rate of over 90% and is highly resistant to noise. In addition, by analyzing the practices of several colleges and universities’ music schools, it is observed that there are significant differences among different institutions in the four comparative items, with standard deviations exceeding 0.6. In particular, the average scores using this study’s teaching system for vocal talent cultivation are 4.312, 4.335, 4.267, and 4.354, respectively, generally higher than those of the other colleges. The mean values of these four different vocal music majors were all above 4 points. Therefore, the teaching system for vocal talent training proposed in this paper effectively improves the quality of vocal talent training and provides a new path for the practical reform and optimization of said education.

Retracted: Computer Aided Teaching System Based on Artificial Intelligence in Football Teaching and Training

Retracted: Computer Aided Teaching System Based on Artificial Intelligence in Football Teaching and Training

Computer Aided Teaching System for Football Teaching and Training Based on Video Image

Computer Aided Teaching System for Football Teaching and Training Based on Video Image

Hybrid Japanese Language Teaching Aid System with Multi-Source Information Fusion Mapping

Learning Japanese can enhance competitiveness in a globalized economy, and we address the problems of poor open-source Japanese language teaching, cumbersome teaching tasks, and a single teaching model. We propose a hybrid Japanese teaching aid system with multiple information fusion mapping, which can effectively improve the efficiency of Japanese teaching and reduce the tedious human teaching procedures. The system is divided into two branches of Japanese language recognition, namely, the Japanese text recognition branch and the Japanese voice sequence recognition branch. In the Japanese text recognition branch, we integrate attention mechanisms and long short-term memory networks as the basic network for Japanese character text recognition. In addition, we set up separate text feature recognition systems for Japanese computer writing and handwriting to prevent feature overlap problems. For Japanese voice sequence recognition, we used a combination of memory gating unit and encoder, based on the network still extending the structure of the deep neural network and using the residual structure connection in the gating unit to avoid the gradient disappearance problem. At the end of the system, we use a softmax layer to connect the text recognition and voice recognition networks to form a Japanese language teaching aid system. To verify the efficiency of our system, we selected the Japanese text recognition public dataset and voice recognition public dataset for experimental validation. To match the practical application of the system, we created our dataset based on the dataset standard and conducted experimental validation. To compare other Japanese recognition methods, we selected the six most representative Japanese recognition algorithms for experimental comparison. To ensure the balance of the experiments, each algorithm is trained in a separate experimental environment for modeling and tuning parameters. Experimental performance and the experimental results show that our method significantly outperforms the other methods and has better system stability.

Rancang Bangun Alat Peraga Up Lock Box Pada Nose Landing Gear Pesawat ATR 72 Untuk Media Pembelajaran

Abstract - Airplane is a very important mode of transportation, one of which is ATR aircraft. In this study, the type of aircraft used was the ATR 72-600 aircraft. One of the safety factors that need to be considered on aircraft is the landing gear system. The landing gear system regulates the wheel system on the aircraft for landing and also taking off. Given the importance of ensuring that the plane's wheels are securely locked or not, an up lock box system is needed on the landing gear. In the Up Lock Box system, it is not directly visible from the outside so that the working mechanism is not widely known. This study aims to determine the workings of the up lock box nose teaching aid system on the landing gear and to make a trial up lock box nose teaching aid on the landing gear. The research method begins with a literature study, then looks for design references, namely from the ATA 32 training manual. After that, make a design using the image of the up lock box from the ATR 72 aircraft, assemble the demonstran tool, calibrate and test the demonstran tool. The conclusions in this study are, how the up lock box teaching aids work in accordance with the up lock box working concept in the training manual, the results of the design and manufacture of props accompanied by modifications, as well as the test results on up lock box props in accordance with the up lock work concept box. The size of the props that have been made has a length of 37.8 cm and a width of 16.2 cm.

The Application of 5G and Artificial Intelligence Technology in the Innovation and Reform of College English Education.

Artificial intelligence and Fifth-Generation (5G) communication networks are examples of new information technologies that have aided and facilitated educational reform and progress. Built on the convincing requirements of college English education, with the advantage of artificial intelligence technology, we can enhance the teaching mode effectiveness, cultivate students' critical thinking ability, implement personalized wisdom and interactive learning, and thus realize artificial intelligence, and the effective use of 5G in English education is becoming a research hotspot area to be addressed. It is necessary to create a teaching aid system that uses a high-speed network and new type of technology. The specific techniques and measures for introducing 5G technology and artificial intelligence into higher education and English learning are discussed in this study. Students in higher education can benefit from the proposed technique by obtaining a better understanding of the subject and promoting their critical thinking skills. Finally, an experiment is performed to see how operative this technique is at teaching English when compared to traditional methods. The results are analyzed to determine that using this method is effective and boosts students' interest in learning as well as their hands-on abilities.

The Design Model of English Graded Teaching Assistant Expert System Based on Improved B/S Three-Tier Structure System

With the continuous development of Internet technology, the modern education system is becoming increasingly intelligent. The integration of information technology with the traditional curriculum can unlock the potential of modern education, which is essentially a change from the traditional teacher-centered classroom teaching structure. The disadvantage of the traditional education system is that it is difficult to teach students according to their abilities because of the differences in English language standards caused by differences in their knowledge and learning potential. Although tiered teaching is one way of addressing this difference, it can have a negative impact in some ways, and implicit tiered teaching is a great solution to this problem. In addition, artificial intelligence is a science that studies the laws of human intelligence. The application of artificial intelligence technology to develop an expert system for teaching English can effectively solve the issues of insufficient teachers and a single teaching mode in the current education system. This will enable the sharing of teaching resources to effectively improve teaching quality, reduce the burden on teachers, and strengthen student’ ability to learn on their own. This paper introduces the principles of artificial intelligence and the B/S three-tier structure system, analyses the current problems faced by English teaching, and proposes a solution for the implementation of a university English teaching aid system based on the B/S three-tier structure system. This system is based on the teacher English language teaching assistant expert system module, which uses a combination of generative and framework-based knowledge representations of the domain knowledge of English language experts to better enable teachers to understand their students’ mastery of knowledge points. The results of this research show that the system can be used to help teachers understand students’ learning through reasoning and analysis, and to improve students’ interest, learning strategies and learning abilities in English.

Applying Interactive Technology to Construct a Popular-Science Teaching Aid System for Protecting Cetaceans along Sea Coasts

Wang, C.-M. and Chen, I-T., 2022. Applying interactive technology to construct a popular-science teaching aid system for protecting cetaceans along sea coasts. Journal of Coastal Research, 38(2), 389–413. Coconut Creek (Florida), ISSN 0749-0208. Cetaceans, such as whales and dolphins, are often found stranded at sea coasts. Teaching the public to rescue such endangered animals in emergency cases is important for educational learning of environmental conservation. Based on the interactive technology, a teaching aid system for popular-science cetacean rescue education is proposed. After a review of related literature, theories of interactive design, tangible interfacing, and science communication are adopted to derive the principles for designing the system. Accordingly, a dolphin model and a series of graphics were designed to construct the teaching aid scheme of the system in the form of a five-level game with a smart phone or pad as the tangible interface. Implemented by a pseudo-code algorithm, the game-play process is designed according to a rule of “Three Musts and Four Nos” advocated by a cetacean conservation society, including the five operation steps of rescue requesting, cetacean identification, holding upright, moisturizing, and recording. The system was exhibited in a public space to invite visitors to play the game. A questionnaire was conducted to collect 124 users' opinions, which were then analyzed, using the software packages of SPSS and AMOS, to evaluate the effectiveness of the proposed system with the aim of cetacean rescue education, leading to the following findings: (1) the interactive popular-science teaching aid provided by the proposed system helps spread cetacean conservation concepts; (2) the interactive game-play process provided by the system teaches correct scientific knowledge; (3) the teaching aid of the system in the form of interactive game holds users' attention; (4) the users enjoyed operating the interactive teaching aid system and wanted to know more about the issue of cetacean rescues; and (5) the interactive popular-science teaching content cannot build some of the users’ confidence to face real cetacean rescue situations.

Computer Aided Teaching System Based on Artificial Intelligence in Football Teaching and Training

As the world's largest sport, football has affected a wide area and a large number of participants and had a great impact on political economy and culture, which has become the best embodiment of the social function of football. Throughout the experience of football in developed countries in the world, the stable development of youth football is the best way to improve the level of football in a country, and the Chinese Football Association has invested more energy in professional leagues and national teams. The development of youth campus football is basically in a state of no management. Therefore, people gradually realize the concept that “football should serve education.” In order to solve the problem of football players' lack of exercise in multiple subjects, it is particularly important to design systems and make plans for their respective physical characteristics. After the failure of various important competitions, the Chinese national football team reflected on the specific factors of backwardness. Under today's system, no one manages the specific development of youth campus football. Especially for young people, training programs that adapt to their individual characteristics should be formulated according to their growth stage and physical characteristics. It can effectively improve the efficiency of football teaching and training (FTT) by managing football players' training information and coaches' teaching information in an intelligent and informatized way. The different sports in which athletes participate in training are identified through the motion recognition layer. The data generated during the entire exercise process, including exercise time, number of exercises, score settlement, and other data, are stored, and the data are finally uploaded to the server, to carry out scientific analysis and management and generate sports training prescriptions in line with their own characteristics. This paper proposes research methods based on the intelligent integrated system of FTT, including literature retrieval, questionnaire survey, training empirical method, comparative analysis method, interview method, and support vector machine model for action recognition, which are used in football teaching and the design experiment of the intelligent integrated system for training; the overall architecture design of the football teaching intelligent integration system and the specific design of the football teaching intelligent integration system are proposed. The experimental results of this article show that 90.70% of players like the teaching mode of intelligent FTT, and the intelligent FTT system can help improve the enthusiasm of players in training and learning.

Research on Second-language Teaching Aid System Based on Network Technology

The computer network-assisted language system has played a very important role in language teaching and learning. It makes up for the shortcomings in language teaching. It uses the computer network as the medium, which can implement foreign language teaching in a larger capacity and a wider range. This paper mainly analyses the developmental process of computer network-assisted language learning, and it also summarizes the teaching design of computer network-assisted second language learning.

Design and Realization of Big Data Learning Aid System Based on MOOC

At the beginning of 2020, in the face of the sudden new crown epidemic, the Ministry of Education proposed an emergency response policy of “stopping classes without stopping school”, and various teaching units have carried out unprecedented online teaching practices. This large-scale online teaching wave has accelerated the development speed and application scope of “Internet + Education”. Based on the big data learning support system, with teachers and students as the main body, using big data technology to integrate high-quality teaching resources and reduce teaching Cost, design and implement teaching aid system for teachers and students. Based on massive online learning data, through intelligent analysis of academic data, it will provide learners with learning suggestions, online examinations, teacher-student activities, assist teachers in implementing student evaluations, carry out precise teaching and research, and improve the curriculum resource construction system.

Использование технологии развития критического мышления в процессе обучения иностранному языку в неязыковом вузе

The paper justifies efficiency of the “critical thinking development” technology when working with juridical cases in foreign language classes at non-linguistic higher school. The article reveals the basic principles of working with the cases that correlate with the stages of the “critical thinking development” technology. Scientific originality of the study involves developing a teaching aid system aimed to form students’ critical thinking skills. The research findings are as follows: the authors identify and describe the basic stages of the “critical thinking development” technology, propose a set of exercises and problematic tasks focused on forming students’ critical thinking.

A novel interactive assembly teaching aid using multi-template augmented reality

Augmented Reality (AR) technology is a fast growing field in the academics and industry. This paper presents a novel design of an interactive assembly teaching aid based on a multi-template AR system, which consists of three units: a multi-template AR unit, an online three-dimension (3D) model assembly unit, a hand-gesture interaction unit. The design of the multi-template AR unit employs an efficient multi-template pose tracking method to detect and track multiple template images simultaneously. The online 3D model assembly unit is enabled, when the pose of each target template is tracked and computed by the multi-template pose tracking method. This method measures the distance between the two templates to determine the 3D rendering mode of the virtual object. The third unit aims to realize a vision-based human-computer interactive system, which combines the AR rendering system with the real-time hand-gesture recognition method to decide the status of AR rendering of a 3D dynamic animation according to the user’s hand gesture. Based on the feedback of twenty-one users of the AR-based interactive teaching-aid, it can be concluded that the system creates an interactive experiences that engages the users and facilitates them to increase their learning interest significantly. In future, we plan to port the proposed AR system to Android and iOS mobile devices while improving the functionality, interactivity, and entertaining qualities of the teaching aid system.

Improvement of Music Aided Teaching System by Web Service

Improvement of Music Aided Teaching System by Web Service

Optimization of Computer Aided Teaching System for Packaging Design Major

Optimization of Computer Aided Teaching System for Packaging Design Major

Construction and Application of Korean-English-Japanese Multilingual Teaching Aid System Based on Knowledge Map

This article describes the design and application of a computer-based system for simultaneously teaching Korean, English and Japanese languages in a classroom setting using knowledge visualization techniques to show the relationships between vocabularies, grammars and meanings. The system consists of a knowledge database of Korean, English, and Japanese which is then uploaded into the teaching module. Visualizations of this information in the form of knowledge maps based upon generally accepted rules of knowledge map can then be displayed and contrasted using the system interface to enter user queries. The system is then tested in a blended classroom of native Korean speakers. Data on student learning experiences are then gathered by means of a questionnaire and analyzed in order to assess the overall success of knowledge acquisition in this setting. Our findings show that this system evokes a personal initiative in the learning process, facilitates communication between teachers and learners, and supports the rapid acquisition of multilingual knowledge.

Instructional Facilities in Secondary Level School of Banke District, Nepal

Talking about the instructional facilities indicates the facilities available for the classroom teaching and learning of students. This is the age of modern technology so students want to learn with new tools and techniques. In this context, school should be aware on the management of such basic facilities in school. The aim of this study is to identify the instructional facilities in secondary level school of Banke district of Nepal. The study was based on the descriptive and exploratory research design. In total 674 students from public and private secondary schools were selected for the study. Structure questionnaire survey was done to collect the data. The result shows that comparatively, the instructional facilities were better in private school than the public school. Private school had managed the computer aided teaching system, separate computer and science lab better than the public school. Considering the better result in final exam, private school has managed the additional coaching class for their students than the public school. Public schools are service oriented supported by Nepal Government so government should be responsible to improve the quality of teaching, learning and infrastructure development as the demand of modern teaching system.