Journal of Intelligent & Fuzzy Systems - Volume 40, issue 2

Authors: Tong, Wenxia | Li, Bo

Article Type: Research Article

Abstract: Decision-making is a vital aspect of any sport and competitive success, in particular open, strong, competitive team sports like soccer, volleyball, basketball, and rugby. However, in the notational analysis, it has largely ignored. To successfully win in any game and compete in every sport for individuals and teams at the national and international level, all success factors must be reconsidered to ensure a better winning decision. Hence, in this paper, Exploratory Hybridized Structural Equation Modeling Framework (HSEMF) has been proposed for decision making on functional training competitive sports training. The training environment will allow competitors to weigh up their options, …determine, and mistake. However, the main feature of the environment is that athletes must be informed if they make mistakes to ensure that they do not take part in the future. The feedback should be provided to improve the performance of the athlete. The decision accuracy and performance indicators have been evaluated. Overall, the results did not show a causal relationship between changes in decision making after implementing the learning modules. However, it has provided moderate evidence of improved reaction time due to the learning modules for decision-making. Show more

Keywords: Sports, structural equation modeling, competitive sports training

DOI: 10.3233/JIFS-189377

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3385-3395, 2021

Authors: Li, Bin | Fei, Yanying | Liu, Hui

Article Type: Research Article

Abstract: The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect …evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system. Show more

Keywords: Teaching quality, evaluation system, self-evaluation, potential index, artificial intelligence model

DOI: 10.3233/JIFS-189378

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3397-3407, 2021

Authors: Li, Yuanyuan | Wan, Xuehong

Article Type: Research Article

Abstract: This study utilizes empirical research method to compile the questionnaire for the motivation of Chinese medical students coming to China. The survey was conducted on 653 medical students from 55 origin countries and 8 universities in China. In addition to motivation research, we also analyzes the relationship between the factors such as university, educational background, gender and origin of students and the motivation. The results show that safe and stable social environment, profound history and culture, and a large number of universities are the most important motives for foreign students to study medicine in China. There are significant differences in …the motivations of international medical students from different genders, universities, and educational background to study abroad, and but there were no significant differences among students from different countries of origin. Show more

Keywords: Medical education, international student, motivation, study in China

DOI: 10.3233/JIFS-189379

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3409-3419, 2021

Authors: Liu, Shuo | Wang, Jin

Article Type: Research Article

Abstract: Based on the analysis of the artificial intelligence education informatization teaching model for the training of ice and snow talents, this article first builds an artificial intelligence education informatization teaching model, reads and organizes a large number of documents such as big data and personalized teaching of ice and snow talent training. It needs to analyze the existing problems and condense the relevant concepts of educational big data, personalized teaching. We personalized teaching systems based on big data and elaborate on the related theoretical basis. It constructed a visual analysis framework for artificial intelligence teaching data, discussed the realization process …and mechanism of data visualization of mixed ice and snow talent cultivation from the two dimensions of timeliness and media form, and introduced the mixed data of numerical and text for visual processing methods. We discussed the interactive presentation process of the visualization results. The research explores the impact of artificial intelligence on the elements of ice and snow talent training instruction design one by one and uses the paradigm migration analysis framework to prove that the ice and snow talent training instruction design paradigm in the context of artificial intelligence has produced a migration. Show more

Keywords: Bingxue talent training, artificial intelligence, education informatization, model construction and analysis

DOI: 10.3233/JIFS-189380

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3421-3431, 2021

Authors: Chen, Changxiang | Zhou, Qian

Article Type: Research Article

Abstract: The quality of Physical Education (PE) education in high schools is closely related to interactive educational efficiency in classrooms. Teachers and students can improve their interest in learning through classroom interaction. Teachers can adjust educational programs according to the existing shortcomings of physical education, stimulate students’ interests in sports, and reduce student tensions and learning pressures. Students can increase their enthusiasm and creativity in sports, thereby enhancing students’ sports skills. Therefore, in a practical teaching process, it’s important to emphasize enhancing the effectiveness of interactive instruction in the classroom. This makes it possible to develop sports instruction. This paper analyzes …how to effectively improve the effects of classroom interactions in a lower secondary school, and proposes a concrete teaching method for physical education. First, this paper explains the importance of improving the effectiveness of classroom education for junior high school students, and analyzes the present state of PE classroom education, and proposes an improvement strategy including physical education, and rationalizes students’ physical and mental development to stimulate students’ interest in sports. The classroom is innovative education and means that students improve their classroom enthusiasm. Show more

Keywords: Image retrieval, personalized image annotation, multi-source data fusion, video images

DOI: 10.3233/JIFS-189381

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3433-3444, 2021

Authors: Fei, Xue

Article Type: Research Article

Abstract: With the development and application of Web Semantic, users are no longer satisfied with basic metadata descriptions such as titles and link texts and string-matching search results. They hope that the resource description can provide the theme ideas, topics, and topics involved in the resource. Potential semantic information contains documents such as teaching methods and knowledge-concept relationships. This research starts from the demand for semantic annotation of resources in the process of resource library construction and sharing, and uses the LDA model to semantically model the document resources in the resource library to mine potential topics in the document. From …“document-topic-keyword” scheme, the semantic description of teaching resources at different levels enriches the metadata attributes and content of resources, and adds more related topics and corresponding keyword descriptions related to disciplines, teaching content, teaching methods, etc., providing resource retrieval and sharing. The experimental results show that the LDA model can catalogues teaching resources from a macro perspective, and model LDA on teaching subject resources of the same teaching content. It can mine the inherent semantic topic features and detailed differences of resources. The final performance analysis verifies LDA’s advantages of the model in parallel computing in the big data environment. Show more

Keywords: LDA model, Web English education, teaching resources, semantic annotation

DOI: 10.3233/JIFS-189382

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3445-3454, 2021

Authors: Hui, Wang | Aiyuan, Li

Article Type: Research Article

Abstract: This paper algorithms based on neural network model designed for English education, to develop a model education system with artificial intelligence, summarized the dimensions were can be used for data analysis related indicators. These indicators include not only the contents of the learning behavior, test behavior, cooperation behavior and resource search behavior and other human-computer interaction behavior data, also includes demographic background information, learning ability, learning attitude, and other characteristic data that affect the learning effect. We tried to collect relevant indicators to the maximum extent. An audiovisual fusion method based on Convolutional Neural Network (CNN) is proposed. The independent …CNN structure is used to realize independent modeling of audiovisual perception and asynchronous information transmission and obtain the description of audiovisual parallel data in the high-dimensional feature space. Following the shared fully connected structure, it is possible to model the long-term dependence of audiovisual parallel data in a higher dimension. Experiments show that the AVSR system built using a CNN-based audiovisual fusion method can achieve a significant performance improvement, and its recognition error rate is relatively reduced by about 15%. The speech recognition system trained with the cross-domain adaptive method can obtain a significant performance improvement, and its recognition error rate is more than 10% lower than that of the baseline system.. Show more

Keywords: neural network, artificial intelligence, English education, model system

DOI: 10.3233/JIFS-189383

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3455-3466, 2021

Authors: Lilingling,

Article Type: Research Article

Abstract: With the continuous development of society, work pressure and study pressure are increasingly becoming the key factors affecting people’s physical and mental health, especially for college students, good knowledge and skills as well as superior psychological quality are the important factors for them to become excellent talents. As an important factor affecting people’s psychological quality, mental health has been paid more and more attention by people. The effect of traditional mental health education in daily education activities is not very obvious, which cannot achieve a profound impact on people’s mental health training and development. In this paper, based on the …artificial intelligence online technology, an expert system of mental health education and daily consultation is designed. The system mainly integrates four application modules: psychological knowledge learning, psychological daily evaluation, psychological expert consultation and personal personalized management. The experiment shows that the artificial intelligence online expert consultation system designed in this paper can query daily psychological problems conveniently and quickly. At the same time, the treatment of human psychological problems can be realized through the intelligent online psychological counselling and the relief of psychological symptoms. The artificial intelligence online mental health education system has obvious practical value and social significance. Show more

Keywords: Artificial intelligence online, mental health education and teaching, mental health expert consultation and treatment system, psychological evaluation and evaluation, mental disease treatment, psychological knowledge and personalized management

DOI: 10.3233/JIFS-189384

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3467-3476, 2021

Authors: Wang, Yuzhe

Article Type: Research Article

Abstract: As an inevitable trend in the development of English teaching, English distance education needs to use artificial intelligence to control the classroom, so as to improve the degree of control of teacher over the classroom. Based on the machine learning algorithm, according to the needs of English distance education classroom management, this paper builds an English distance education classroom management system based on improved machine learning artificial intelligence algorithms. Moreover, this research constructs the system function module through requirement analysis, and combines the positioning algorithm to locate students in real time. In addition, this study analyzes the students’ status through …intelligent database processing to grasp the students’ learning status in a timely and effective manner. In order to verify the performance of this system, this study verifies the performance of the model by means of comparative experiments. The research results show that the system constructed in this paper has a certain effect. Show more

Keywords: Artificial intelligence, machine learning, improved algorithms, English education, classroom management

DOI: 10.3233/JIFS-189385

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3477-3488, 2021

Authors: Shen, Lin

Article Type: Research Article

Abstract: This article first studies and designs the college English test framework and performance analysis system. The author analyzes a large number of data collected by the system in three dimensions: using data mining title association models, using machine learning to merge college English score prediction models, and finally diagnosing on the basis of the sexual evaluation model, the author designed and implemented a test paper algorithm based on the association rules of the question type, and carried out relevant verification from the three aspects of test paper time, test question recommendation and improvement according to scores. Finally, according to the …needs analysis, the author uses the diagnostic evaluation model and related test paper algorithm to design and implement the diagnostic evaluation model, which is added to the college English diagnostic practice system. It can be obtained through comparative experiments that the paper-based algorithm based on the diagnostic evaluation model proposed in this paper can effectively give better practice guidance and test question recommendation to the learner’s learning status and knowledge point problem obstacles, and can effectively improve learning. The achievements of the authors have broad application prospects and research value. Show more

Keywords: Data mining; artificial intelligence, testing framework, performance analysis

DOI: 10.3233/JIFS-189386

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3489-3499, 2021