一种基于启发式优化算法的混合教育质量评估方法

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Scalable Computing-Practice and Experience Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2339
Lan Cui, Yuefen Zhi
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引用次数: 0

摘要

混合教育是最有效的教育过程,它是两种教育过程的混合,有助于提高学生的理解水平。在研究中,讨论了智能学习环境对教育方式的影响,使学生和教育者能够正确地理解主题。此外,从研究来看,教师和学生之间的良好关系可以提高教育系统的成长率。因此,学生的职业生涯也更加发达。该研究旨在考虑现代或混合教育系统的缺点,而沟通差距是教育的显著缺点之一。
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A Hybrid Education Quality Assessment Method based on Heuristic Optimization Algorithm
Hybrid education is the most effective process of education, which is the mixture of two education processes that help increase the student’s understanding level. In the study, it has been discussed that the intelligent learning environment influences the education style, which allows the students and the educator to understand the topic correctly. Also, from the study, a good bond between the teacher and the students increases the achievement rate in an education system. Therefore, the professional life of the students is also more developed. The study aims to consider the disadvantages of the modern or hybrid education system, and the communication gap is one of the significant disadvantages of education.
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来源期刊
Scalable Computing-Practice and Experience
Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊介绍: The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.
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