International Journal of Modern Education and Computer Science最新文献_第4页

Analyzing Students’ Performance Using Fuzzy Logic and Hierarchical Linear Regression 利用模糊逻辑和层次线性回归分析学生成绩

International Journal of Modern Education and Computer Science Pub Date : 2024-02-08 DOI: 10.5815/ijmecs.2024.01.01

Dao Thi Thanh Loan, Nguyen Duy Tho, Nguyen Huu Nghia, Vu Dinh Chien, Tran Anh Tuan

引用次数: 0

A Comprehensive Meta-Analysis of Blended Learning Adoption and Technological Acceptance in Higher Education 高等教育中混合式学习的采用和技术接受度的综合元分析

International Journal of Modern Education and Computer Science Pub Date : 2024-02-08 DOI: 10.5815/ijmecs.2024.01.05

S. Porkodi, Bassam Khalil Hamdan Tabash

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A Proposed Algorithm for Assessing and Grading Automatically Student UML Diagrams 用于自动评估和分级学生 UML 图表的拟议算法

International Journal of Modern Education and Computer Science Pub Date : 2024-02-08 DOI: 10.5815/ijmecs.2024.01.04

Rhaydae Jebli, Jaber El Bouhdidi, M. Chkouri

引用次数: 0

Clustering Students According to their Academic Achievement Using Fuzzy Logic 利用模糊逻辑根据学生的学业成绩对他们进行聚类

International Journal of Modern Education and Computer Science Pub Date : 2023-12-08 DOI: 10.5815/ijmecs.2023.06.03

Serhiy Balovsyak, Oleksandr Derevyanchuk, Hanna Kravchenko, Yuriy Ushenko, Zhengbing Hu

{"title":"Clustering Students According to their Academic Achievement Using Fuzzy Logic","authors":"Serhiy Balovsyak, Oleksandr Derevyanchuk, Hanna Kravchenko, Yuriy Ushenko, Zhengbing Hu","doi":"10.5815/ijmecs.2023.06.03","DOIUrl":"https://doi.org/10.5815/ijmecs.2023.06.03","url":null,"abstract":": The software for clustering students according to their educational achievements using fuzzy logic was developed in Python using the Google Colab cloud service. In the process of analyzing educational data, the problems of Data Mining are solved, since only some characteristics of the educational process are obtained from a large sample of data. Data clustering was performed using the classic K-Means method, which is characterized by simplicity and high speed. Cluster analysis was performed in the space of two features using the machine learning library scikit-learn (Python). The obtained clusters are described by fuzzy triangular membership functions, which allowed to correctly determine the membership of each student to a certain cluster. Creation of fuzzy membership functions is done using the scikit-fuzzy library. The development of fuzzy functions of objects belonging to clusters is also useful for educational purposes, as it allows a better understanding of the principles of using fuzzy logic. As a result of processing test educational data using the developed software, correct results were obtained. It is shown that the use of fuzzy membership functions makes it possible to correctly determine the belonging of students to certain clusters, even if such clusters are not clearly separated. Due to this, it is possible to more accurately determine the recommended level of difficulty of tasks for each student, depending on his previous evaluations.","PeriodicalId":36486,"journal":{"name":"International Journal of Modern Education and Computer Science","volume":"11 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138589421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Load Balancing in Cloud Computing: A Convergence of PSO, GSA, and Fuzzy Logic within a Hybridized Metaheuristic Framework 云计算中的动态负载平衡：混合元搜索框架中 PSO、GSA 和模糊逻辑的融合

International Journal of Modern Education and Computer Science Pub Date : 2023-12-08 DOI: 10.5815/ijmecs.2023.06.04

Rajgopal K T, A. S. Rao, Ramaprasad Poojary, Deepak D

引用次数: 0

LLMs Performance on Vietnamese High School Biology Examination 法学硕士在越南高中生物考试中的表现

International Journal of Modern Education and Computer Science Pub Date : 2023-12-08 DOI: 10.5815/ijmecs.2023.06.02

Xuan-Quy Dao, Ngoc-Bich Le

引用次数: 0

Tangent Search Long Short Term Memory with Aadaptive Reinforcement Transient Learning based Extractive and Abstractive Document Summarization 基于切线搜索长短期记忆与自适应强化瞬时学习的摘录式和抽象式文档摘要法

International Journal of Modern Education and Computer Science Pub Date : 2023-12-08 DOI: 10.5815/ijmecs.2023.06.05

Reshmi P Rajan, Deepa V. Jose, Roopashree Gurumoorthy

引用次数: 0

OptimizedFeature Selection and Transformations for Early Stage Prediction of Autism Using Supervised Machine Learning Models 使用监督机器学习模型进行自闭症早期预测的优化特征选择和转换

International Journal of Modern Education and Computer Science Pub Date : 2023-12-08 DOI: 10.5815/ijmecs.2023.06.06

Praveena K N, Mahalakshmi R, Manjunath C, Ahmad Faiz Zubair, P. Karthikeyan

引用次数: 0

Predicting College Students’ Placements Based on Academic Performance Using Machine Learning Approaches 利用机器学习方法根据学业成绩预测大学生就业情况

International Journal of Modern Education and Computer Science Pub Date : 2023-12-08 DOI: 10.5815/ijmecs.2023.06.01

Mukesh Kumar, Nidhi Walia, Sushil Bansal, Girish Kumar, Korhan Cengiz

引用次数: 0

Algorithms for Solving Problems of Resources Allocation in the Management of Business Processes in Educational Organizations 解决教育机构业务流程管理中资源分配问题的算法

International Journal of Modern Education and Computer Science Pub Date : 2023-10-08 DOI: 10.5815/ijmecs.2023.05.02

Azat Tashev, Zhanar Takenova, Mukaddas Arshidinova

{"title":"Algorithms for Solving Problems of Resources Allocation in the Management of Business Processes in Educational Organizations","authors":"Azat Tashev, Zhanar Takenova, Mukaddas Arshidinova","doi":"10.5815/ijmecs.2023.05.02","DOIUrl":"https://doi.org/10.5815/ijmecs.2023.05.02","url":null,"abstract":"This article deals with the problem of optimal resources allocation in reference to the area that is currently relevant in the Republic of Kazakhstan, the educational system and management issues in educational organizations in rapidly changing economic and social conditions. A model for the optimal resources’ allocation in the management of business processes that exist in educational organizations has been developed using the example of one of the key business processes. Such research methods as search, survey, Fishbone diagrams and heuristic methods were used. A computational algorithm was developed and the testing results on the suggested example were presented. Comparative analysis shows that the developed computational algorithm based on the application of the linear programming method results in the optimal resources allocation in the considered business process. The analysis of existing methods reveals their limitations, particularly in dealing with dependent operations. The research findings and approaches have practical implications for improving the management system and enhancing the quality of business processes in educational organizations. The algorithms and models developed in this study can be applied not only to solve load distribution issues among teachers but also to address resource allocation problems in other areas of educational institutions.","PeriodicalId":36486,"journal":{"name":"International Journal of Modern Education and Computer Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135252452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0