Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Siyan, Chen | Tinghuai, Wang | Xiaomei, Li | Liu, Zhu | Danying, Wu

Article Type: Research Article

Abstract: The qualitative analysis results of teachers’ abilities are difficult to quantify, and ability problems in the teaching process are difficult to be effectively measured. In order to study methods to improve teachers’ teaching abilities, this paper builds a corresponding teacher competence evaluation model based on machine learning and digital twin technology, establishes a data collection model for teachers’ professional competence, and establishes a data fusion model. It includes data cleaning model based on XML information template, data integration model, multi-index screening mechanism and clustering strategy based on perturbation attributes. On this basis, this paper uses decision tree algorithm, random forest …algorithm and neural network algorithm to construct three scheduling rule mining models aiming at teachers’ professional ability. In addition, this paper establishes a digital twin-driven multi-knowledge model scheduling optimization architecture that uses the three scheduling rules mined. The research results show that the model constructed in this paper has good performance. Show more

Keywords: Machine learning, digital twins, teachers, teaching ability

DOI: 10.3233/JIFS-189557

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7323-7334, 2021

Authors: Huiying, Xie | Qiang, Mai

Article Type: Research Article

Abstract: College English cross-cultural teaching has changed from offline to online teaching. Under the impetus of MOOC teaching mode, college English cross-cultural teaching online teaching has exposed problems such as insufficient intelligence and poor online teaching effects. In order to improve the efficiency of college English cross-cultural teaching, based on cloud computing technology and artificial intelligence technology, this article improves and analyzes traditional MOOC, improves traditional algorithms according to the actual needs of MOOC teaching, and proposes a new improved model. Moreover, this article sets up functional modules through requirements analysis. In addition, according to actual teaching, this paper designs control …experiments to verify and analyze the model performance from experimental teaching and the effect of attracting students’ online learning. The research results show that the model proposed in this paper has good performance and can effectively improve the efficiency of English cross-cultural teaching. Show more

Keywords: MOOC platform, artificial intelligence, college English, cross-cultural teaching

DOI: 10.3233/JIFS-189558

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7335-7345, 2021

Authors: Ting, Xue

Article Type: Research Article

Abstract: At present, the theoretical and experimental teaching parts of chemistry teaching are difficult to present through online teaching, and the teaching effect is difficult to effectively improve. In order to improve the effect of online teaching of chemistry courses and discover the problems in teaching in a timely and effective manner, this paper builds the corresponding teaching system, optimizes the performance of the system with key information search and big data cloud platform, improves the data mining ability and data analysis ability, and improves the system running speed. Moreover, this article constructs functional modules according to the actual needs of …chemistry course network teaching and constructs sub-modules for functional modules. The constructed model can be displayed in the form of a webpage, and the model has the ability of data mining and problem analysis of chemistry course network teaching. In addition, in order to verify the effect of the model, this paper designs experiments to analyze its performance. The research results show that the system constructed in this paper has good performance. Show more

Keywords: Key information search, big data, cloud platform, chemistry, online teaching

DOI: 10.3233/JIFS-189559

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7347-7358, 2021

Authors: Yingying, Zhang

Article Type: Research Article

Abstract: Public art communication in colleges and universities needs to be launched with the support of artificial intelligence systems. According to the current situation of public art communication in colleges and universities, this paper builds a smart cloud platform for public art communication in colleges and universities with the support of artificial intelligence algorithms. Moreover, this paper introduces the bandwidth offset coefficient to judge the change of network throughput, introduces the slice download rate difference to first judge the consistency change trend of bandwidth, and then further proposes the calculation method of bandwidth prediction value by situation. In addition, this paper …proposes a flexible transmission mechanism based on smart collaborative networks. Through in-depth perception of network status and component behavior, this mechanism implements the selection of the optimal path in the network according to the current network status and user service requirements to complete the transmission of service resources. If the current transmission path fails, the mechanism should ensure the continuity and reliability of the service. The research results show that the system constructed in this paper has good performance and can be applied to practice. Show more

Keywords: Smart cloud platform, artificial intelligence, public art, communication

DOI: 10.3233/JIFS-189560

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7359-7369, 2021

Authors: Shi, Tan

Article Type: Research Article

Abstract: Because rhythmic gymnastics requires a combination of human movements and hand-held instruments, it is difficult to teach and requires high movement standards. Therefore, the actual course teaching is difficult. In order to improve the teaching efficiency of rhythmic gymnastics courses, based on VR image recognition technology and digital twins, this paper combines the actual teaching needs of rhythmic gymnastics to build a corresponding auxiliary teaching system. The sports database designed in this article mainly has three kinds of sports: difficulty movements, connecting movements and equipment movements. It is different from the traditional method in that each movement and the device-related …connection movement correspond to a difficulty movement of the same length and close coordination, and the connection movement plays a role in smoothly connecting the two difficulty movements. In addition, the performance of the auxiliary teaching system constructed in this paper is studied through system experiments. The research results show that this system is feasible. Show more

Keywords: VR images, digital twins, artistic gymnastics, feature recognition

DOI: 10.3233/JIFS-189561

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7371-7382, 2021

Authors: Mei, Yang

Article Type: Research Article

Abstract: Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, …and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model. Show more

Keywords: Complex evolution, improved algorithm, neural network, higher vocational education, Chinese teaching

DOI: 10.3233/JIFS-189562

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7383-7395, 2021

Authors: Jianbang, Guo | Changxin, Sun

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219432 .

DOI: 10.3233/JIFS-189563

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7397-7409, 2021

Authors: Gong, Yan | Rina, Sha

Article Type: Research Article

Abstract: Due to the limitations of the learning environment and unguided guidance, students’ autonomous learning of foreign languages after class is not effective. In order to improve the efficiency of autonomous learning of foreign languages, this paper builds a foreign language self-learning system based on facial emotion recognition algorithm and cloud computing platform. Moreover, this paper uses emotion recognition algorithms to identify students’ status and guide them to improve students’ autonomous learning and improve the system’s operating efficiency through cloud computing platforms. In addition, this article combines the needs of autonomous learning to perform facial emotion matching and builds the corresponding …functional modules of the system according to the requirements of autonomous learning and designs a sophisticated three-level network structure to achieve a balance between detection performance and real-time performance. In order to verify the performance of the system, an experiment was carried out through the accuracy rate of student’s autonomous state emotion recognition and the English improvement of students’ autonomous learning. The research results show that the foreign language autonomous learning system constructed in this paper has good performance. Show more

Keywords: Facial emotion, feature recognition, cloud computing, autonomous learning

DOI: 10.3233/JIFS-189564

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7411-7422, 2021

Authors: Jinfeng, Liu | Bo, Yang

Article Type: Research Article

Abstract: The evaluation system of physical education is limited by many factors, so the reliability of the quantitative results of its intelligent scoring system is not high. In order to improve the teachingeffect ofphysical education major, this paper combines a machine learning algorithm and SVM to build anevaluation system of physical education. The system uses optimized machine learning as the system algorithm. In order to improve the operating efficiency of the system, this study optimizes the system physical layer certification to improve the system data processing speed and accuracy and uses a three-layer structure to build a basic model of the …system structure and analyze its functional modules. Moreover, this study uses a database based on an expert evaluation system for data processing to achieve physical education evaluation and puts forward corresponding improvements. In addition, system performance verification is carried out on the basis of building the system. Through various experimental verifications, we know that the model constructed in this paper has good performance and can be applied to actual physical education. Show more

Keywords: Machine learning, SVM, physical education, education evaluation, system construction

DOI: 10.3233/JIFS-189565

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7423-7434, 2021

Authors: Wenyan, Nie

Article Type: Research Article

Abstract: The theoretical and experimental teaching part of analytical chemistry is relatively boring, so it is difficult to improve the teaching results of analytical chemistry through the traditional network teaching mode. In this paper, based on the actual situation and based on the facial recognition algorithm, this paper uses artificial intelligence algorithm to build an open network teaching platform for analytical chemistry. Moreover, this paper improves the traditional adaptive genetic algorithm, and introduces a directional perturbation operator to non-linearize the adaptive adjustment probability. In algorithm design and simulation experiments, an improved genetic algorithm based on t distribution is used as an …example to prove the effectiveness of the method in this paper. The platform constructed in this article is mainly applied to the teaching of analytical chemistry. The teaching of analytical chemistry includes theoretical teaching and experimental teaching. In addition, according to the actual needs of teaching, this article conducts research and analysis on the platform through theoretical teaching and experimental teaching. The research results show that the constructed teaching platform has good performance. Show more

Keywords: Facial recognition, artificial intelligence, analytical chemistry, online teaching

DOI: 10.3233/JIFS-189566

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7435-7445, 2021