The Role of Machine Learning in Identifying Students At-Risk and Minimizing Failure

Author:

Pek Reyhan Zeynep1ORCID,Ozyer Sibel Tariyan2,Elhage Tarek3,Ozyer Tansel2,Alhajj Reda1ORCID

Affiliation:

1. Department of Computer Engineering, Istanbul Medipol University, Istanbul, Turkey

2. Department of Computer Engineering, Ankara Medipol University, Ankara, Turkey

3. ABC Private School, Abu Dhabi, United Arab Emirates

Funder

Scientific and Technological Research Institution of Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Envisioning Educational Success Through Advanced Analytics and Intelligent Performance Prediction;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

2. Application of Machine Learning Models for Predicting Students' Performance in Mathematics: A K-Fold Approach;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

3. Predicting Student Performance in Online Learning: A Multidimensional Time-Series Data Analysis Approach;Applied Sciences;2024-03-16

4. Exploring Student Performance Patterns Using Tree-Based Techniques;2023 3rd International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS);2023-12-06

5. At-Risk Students Identification based on Machine Learning Approach: A Case Study of Computer Science Bachelor Student in Tunisia;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

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