Design and simulation of integrated education information teaching system based on fuzzy logic

Yao, Fuguang

doi:10.3233/jifs-179303

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…Using traditional computer-aided instruction is usually to preset all the teaching contents in the system according to the programming mode on a single machine [ 14 ]. Although CAI system can carry out online teaching using intelligent characteristics, it is unable to interact between teachers and students because of the lack of necessary communication means [ 15 ]. The teacher management module can help the teaching management department to analyze the information of teachers and provide first-hand information for schools to carry out teaching, professional title evaluation, and talent introduction.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Xing

2022

Computational Intelligence and Neuroscience

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The tourism teaching system provides all kinds of teaching resources for students and shares good teachers, which greatly improves the quality of teaching and learning, and it enables students to teach and learn randomly in the system. The mode of educational information dissemination has also changed, resulting in great changes in educational models, ideas, and methods. The tourism teaching system overcomes the shortcomings of traditional education. In the 21st century, the means of education and teaching will be ITS-based, and technology will be used to optimize teaching. With the rapid development of network technology, it has been widely used in the field of education, and the way of educational information dissemination has also changed, which has led to great changes in educational models, concepts, and methods. Therefore, the combination of artificial intelligence technology and tourism teaching system is the focus of current educational research. In this paper, the tourism teaching system is designed based on artificial intelligence technology. Combined with the application status of the tourism teaching system in education, a personalized cognitive student model is designed by combining artificial intelligence technology with student behavior analysis, and an intelligent and personalized educational environment is developed. Design and implement a simple web-based tourism teaching system, use a personalized cognitive student model to model students, and use an expert question bank and self-built question bank to test students’ learning to provide a basis for students’ next learning.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Xing

2022

Computational Intelligence and Neuroscience

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“…Berbeda halnya dengan kegiatan ekrakurikuler yang bersifat pilihan, setiap peserta didik memilih berdasarkan minat yang diinginkan, dimana setiap kegiatan ekrakulikuler bisa jadi ada pilihan yang peminat nya banyak dan ada juga yang peminatnya sedikit. Kondisi seperti ini tentu sangat wajar karena peserta didik akan memilih sesuai dengan pasionnya [2].…”

Section: Pendahuluanunclassified

Analysis of Students to Follow Computer Extracurricular Activities using Fuzzy Logic Method

Costaner

Guntoro²,

Lisnawita³

2023

SISTEMASI

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An educational institution will carry out activities for the development of human resources. In improving good human resources, additional lessons are needed to increase students' skills, especially in the computer field. The current obstacle is that schools have difficulty measuring students' interest in participating in computer extracurricular, as a result the development of computer hardware needs is hampered. This study aims to provide knowledge to schools to find out what percentage of students are interested in learning computers. The method used is a Likert scale and fuzzy logic by measuring four variables of student feelings, student attention, student interest and student involvement. Measurement of student interest by compiling a questionnaire filled in by students and students there are 14 questions with a choice of each question 5 answer choices, obtained an average weight on the Likert scale variable feeling 74.0%, attention 76.5%, interest 75.7% and the involvement of 78.0% of the weight was tested with fuzzy inference with a firmness value of 38, where the value is included in the output domain not interested. By measuring student interest, it is hoped that it will be useful for institutions to consider implementing computer extracurricular.

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“…Where 𝑆 2 is the estimate of variable 𝑘 𝑔 = 𝐿(𝜑 𝑡+𝑔 (1) ) − 𝐿(𝜑 𝑡+𝑔 (2) ) and the original hypothesis of the test is:…”

Section: Dm Test Evaluationmentioning

confidence: 99%

“…In the context of the general trend of education informatization, the transformation of conventional education to digital education and the deep integration of information technology and education teaching is promoted when the strength of teachers is needed [1][2][3]. As the first resource for education development, teachers should follow in the footsteps of the times and innovate education and teaching modes.…”

Section: Introductionmentioning

confidence: 99%

Information-based teaching model of college modeling foundation course based on ADDIE model

Huang

2023

Applied Mathematics and Nonlinear Sciences

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Education informatization is an inevitable change in using information technology for education development in the education field in the information age. This study firstly takes Guilin college teachers as the research object, based on the ADDIE model and optimized BP neural network algorithm, and tries to understand the current situation of using informationized teaching resources of basic modeling course college teachers. Secondly, by analyzing the data collected from students’ evaluation of the ability to use informationized teaching resources of drawing design teachers in the basic modeling course, we found that there are still some problems in the informationized teaching of basic modeling courses in colleges and universities, and we explore these problems in depth. The analysis shows that 80.9% of teachers will use teaching equipment when teaching and 92.72% of teachers will use teaching tools. The students rated the teachers’ ability to use informatization teaching resources highly, and about 50% thought that teachers could use them. College teachers need to establish an awareness of lifelong learning and take the initiative to adapt to the needs of information-based teaching.

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Design and simulation of integrated education information teaching system based on fuzzy logic

Cited by 10 publications

References 11 publications

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Analysis of Students to Follow Computer Extracurricular Activities using Fuzzy Logic Method

Information-based teaching model of college modeling foundation course based on ADDIE model

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