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

Authors: Lv, ZhiYuan | Shen, Hengyun

Article Type: Research Article

Abstract: In this paper, the mathematical model and algorithm based on knowledge forgetting curve are studied. Through the analysis of the current mathematical modeling and application of “knowledge forgetting curve”, the artificial intelligence method of fuzzy mathematics knowledge and differential modeling is adopted. This paper puts forward the mathematical model and algorithm design of the new “knowledge forgetting curve”, which aims to improve the intelligence of the software and bring a new learning experience for the teaching evaluation of the education system in colleges and universities. The fuzzy logic theory is applied to the teaching evaluation system of higher learning pedagogy, …according to pedagogy and other related theories, combined with the current teaching evaluation indicators of colleges and universities, the teaching evaluation indicators of higher learning education are set according to certain requirements. The sample wood data is divided into two parts by using the fuzzy logic principle, and the training model is obtained by training the sample data in the evaluation system, and the training model is used to intelligently evaluate and analyze the prediction data. Show more

Keywords: Teaching evaluation, fuzzy logic, artificial intelligence, knowledge forgetting curve

DOI: 10.3233/JIFS-189387

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3501-3511, 2021

Authors: Ran, Duan | Yingli, Wang | Haoxin, Qin

Article Type: Research Article

Abstract: Artificial intelligence speech recognition technology is an important direction in the field of human-computer interaction. The use of speech recognition technology to assist teachers in the correction of spoken English pronunciation in teaching has certain effects and can help students without being constrained by places, time and teachers. Based on artificial intelligence speech recognition technology, this paper improves and analyzes speech recognition algorithms, and uses effective algorithms as the system algorithms of artificial intelligence models. Meanwhile, based on phoneme-level speech error correction, after introducing the basic knowledge, construction and training of acoustic models, the basic process of speech cutting, including …the front-end processing of speech and the extraction of feature parameters, is elaborated. In addition, this study designed a control experiment to verify and analyze the artificial intelligence speech recognition correction model. The research results show that the method proposed in this paper has a certain effect. Show more

Keywords: Artificial intelligence, speech recognition, English, spoken language, error correction, intelligent model

DOI: 10.3233/JIFS-189388

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3513-3524, 2021

Authors: Liu, Meichen | Huang, Jieru

Article Type: Research Article

Abstract: In recent years, with the rise of piano teaching, many people began to learn to play the piano. However, the expensive piano teaching cost and its unique teaching model that teachers and students are one to one have caused the shortage of piano education resources, and people learn piano playing has become a luxury activity. The use of computer multimedia software for piano teaching has become a feasible way to alleviate this contradiction. This paper proposes the design of an intelligent piano playing teaching system based on neural network, studies the realization method of the piano teaching system, presents a …method of evaluating piano playing by using neural network model for the difficulties in computer piano teaching, that is, computer teaching is one-way knowledge transfer without interaction. In addition, this paper simulates the teacher to guide the students to carry on the playing practice, which is of great significance to the teaching of the piano. Show more

Keywords: Artificial intelligence, piano teaching, evaluation, playing

DOI: 10.3233/JIFS-189389

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3525-3533, 2021

Authors: Peng, Lihua

Article Type: Research Article

Abstract: With the development of artificial intelligence in education, online education has been recognized by the society as a new teaching method. It can make full use of the advantages of the network across regions, and make full use of the advantages of network technology to share the resources of colleges and universities, which is a promising educational method. In response to the demand of online education for learner information, this paper proposes the learner model Neighbor Mean Variation Multi-Objective Particle Swarm Optimization-Genetic Algorithm (NMVMOPSO-GA). This model includes the learner’s learning interest sub-model, the learner’s cognitive ability sub-model and the learner’s …knowledge sub-model. The modelling techniques of the three sub-models are discussed separately, and their status and role in the online education system are analyzed. At the same time, for the knowledge model that reflects the learner’s learning progress and knowledge mastery, a learner knowledge sub-model constructed with Bayesian networks is proposed. The neighbor mean mutation operator is introduced to optimize the multi-objective particle swarm optimization algorithm and improve the convergence performance and stability of the multi-objective particle swarm optimization algorithm. We study the application of multi-objective particle swarm optimization algorithm in online course resource generation service. Through simulation experiments, it is verified that the multi-objective particle swarm optimization algorithm can improve the performance and stability of online course resource generation. Show more

Keywords: Online education, artificial intelligence, intelligent learning, particle swarm optimization algorithm

DOI: 10.3233/JIFS-189390

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3535-3546, 2021

Authors: Aiyuan, Li | Hui, Wang

Article Type: Research Article

Abstract: The traditional English online teaching model is limited by the teaching location and the difficulty of online teaching, which prevents teachers from controlling students. In order to improve the ability of the English online teaching model to supervise and recognize the status of students, this paper proposes an English online teaching model based on artificial intelligence technology, and adopts a positioning method based on an improved deep belief network for real-time position control and status recognition for students in online learning. Moreover, this study combines intelligent algorithms to build the model structure and verify the performance of the model. The …results show that the performance of the model is good. In addition, on the basis of performance testing, the recognition effect of the artificial intelligence-based student online learning recognition model constructed in this paper is recognized. The results show that the model proposed in this paper has a certain effect and meets the actual needs of intelligent teaching. Show more

Keywords: Artificial intelligence, English, online teaching of artificial intelligence, teaching model

DOI: 10.3233/JIFS-189391

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3547-3558, 2021

Authors: YanRu, Liu

Article Type: Research Article

Abstract: The manual evaluation method to evaluate the effect of physical education teaching is tedious, and it will have a large error when the amount of data is large. In order to improve the efficiency of physical education evaluation, this article uses artificial intelligence for data analysis and uses machine vision to identify the teaching process to assist teachers in physical education. In order to reduce the calibration error of the parameters and obtain more accurate camera imaging geometric parameters, this paper adopts the method of averaging multiple sample points to determine the calibration parameters of the camera. In addition, this …study builds system function modules according to actual needs and verifies system performance through experimental teaching methods. The research results show that the model proposed in this paper has a certain practical effect. Show more

Keywords: Artificial intelligence, machine vision, physical education, effect evaluation

DOI: 10.3233/JIFS-189392

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3559-3569, 2021

Authors: Wang, Yuxia

Article Type: Research Article

Abstract: Ideological and political education plays an important role in supporting social talent input. However, the current evaluation effect of ideological and political education is difficult to quantify. Therefore, in order to improve the evaluation effect of ideological and political education, based on artificial intelligence algorithms, this study combines machine learning ideas and the current status of ideological and political education to build a fuzzy analytic hierarchy process model of the of ideological and political teaching quality based on machine learning and artificial intelligence. Moreover, this study uses a three-tier structure to build a model network structure, and based on the …characteristics of fuzzy evaluation, this study uses the expert system to conduct data management, operation and control of model evaluation, and build a corresponding database to update the data in real time. In addition, in order to verify the effect of the model, this study sets simulation experiments to analyze the model performance. From the point of view of running effect and running speed, this research model meets the actual needs of the system, so it can be applied to the evaluation process of ideological and political teaching quality in colleges and universities. Show more

Keywords: Machine learning, ideological and political education, teaching quality, fuzzy AHP model

DOI: 10.3233/JIFS-189393

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3571-3583, 2021

Authors: Luo, Ying

Article Type: Research Article

Abstract: In ideological and political teaching, students have more serious problem behaviors in the classroom, including distracted, dazed, inattentive, and sleeping. In order to improve the efficiency of ideological and political teaching, based on artificial intelligence technology, this paper constructs a real-time monitoring system for ideological and political classrooms based on artificial intelligence algorithms, and builds model function modules according to the actual needs of ideological and political teaching monitoring. Moreover, this study makes reasonable calculations on the information monitoring and information transmission parts and installs a different number of monitoring equipment in different fixed locations according to the needs of …signal monitoring. In addition, this paper designs a control experiment to study the system performance and verify the parameters from multiple aspects. The research results show that the system model constructed in this paper is stable in ideological and political teaching and has certain effects. Show more

Keywords: Artificial intelligence, classroom monitoring, ideology and politics, teaching system

DOI: 10.3233/JIFS-189394

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3585-3594, 2021

Authors: Gaobin, | Huan Nan, Cao | Zhen Zhong, Liu

Article Type: Research Article

Abstract: There are certain disadvantages in the traditional physical education teaching model. In order to improve the advanced nature of physical education teaching methods, this paper builds a physical education evaluation system based on artificial intelligence fuzzy algorithm. The system uses fuzzy control instructions as the basis to combine human language and mechanical language, so that the machine can recognize human working language habits and execute commands according to the instructions. Moreover, in this study, the trapezoid function is selected as the membership function, and the improved particle optimization algorithm is used to capture the student’s motion process and the motion …vector decomposition, and the system structure model is constructed based on the functional requirements analysis. In addition, this study conducts system performance analysis through experimental teaching methods. The research results show that this system can effectively promote the reform of teaching methods in physical education and has a certain practical effect. Show more

Keywords: Artificial intelligence, fuzzy system, physical education, teaching improvement

DOI: 10.3233/JIFS-189395

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3595-3604, 2021

Authors: Conghai, Hu | Qianqian, Zhao | Jie, Guo

Article Type: Research Article

Abstract: The linguistic artificial intelligence teaching model can be assisted by the intelligent speech recognition model. The traditional speech recognition algorithm has certain problems, so it cannot effectively eliminate speech noise. Based on the advantages of the linguistics teaching model, this article combines the linguistics teaching model and the artificial intelligence model to build an artificial intelligence assisted teaching model that can be used for classroom teaching. Moreover, this study improves the traditional algorithm and constructs an artificial intelligence linguistics teaching model based on the improved algorithm. The filtering part of noise includes preliminary filtering of speech signals based on the …short-term energy detection method, and further detection and recognition of preliminary filtering speech signals based on the artificial intelligence model detection method. After these two steps of filtering and recognition, the voice file is sent to the client for processing and control. In addition, this study set up a control experiment to analyze the performance of the model. The research results show that the algorithm in this paper has a certain effect. Show more

Keywords: Artificial intelligence, speech model, linguistics, teaching model

DOI: 10.3233/JIFS-189396

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3605-3615, 2021