Student Performance Prediction and Classification Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

Student Performance Prediction and Classification Using Machine Learning Algorithms

Published:2019-03-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 8th International Conference on Educational and Information Technology
language:
Short-container-title:

Author:

Sekeroglu Boran¹,Dimililer Kamil²,Tuncal Kubra¹

Affiliation:

1. Information Systems Engineering, Near East University, NEU Boulevard, Nicosia, TRNC, Mersin, Turkey

2. Electrical and Electronic Engineering, Near East University, NEU Boulevard, Nicosia, TRNC, Mersin, Turkey

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3318396.3318419

Reference15 articles.

1. Application of computational intelligence to improve education in smart cities;Gomede E.;Sensors Journal in MDPI,2018

2. Ever Y. K. and Dimililer K. 2017. The effectiveness of a new classification system in higher education as a new e-learning tool Quality & Quantity Springer. Ever Y. K. and Dimililer K. 2017. The effectiveness of a new classification system in higher education as a new e-learning tool Quality & Quantity Springer.

3. Dimililer K. 2017. Use of intelligent student mood classification system (ISMCS) to achieve high quality in education" Quality & Quantity Springer. Dimililer K. 2017. Use of intelligent student mood classification system (ISMCS) to achieve high quality in education" Quality & Quantity Springer.

4. Human machine learning symbiosis;Walsh K. R.;Journal of Learning in Higher Education,2017

5. Kidzinski L. Giannakos M. Sampson D. G. and Dillenbourg P. 2015. A tutorial on machine learning in educational science Discovering Interesting Patterns in an e-Learning System. Kidzinski L. Giannakos M. Sampson D. G. and Dillenbourg P. 2015. A tutorial on machine learning in educational science Discovering Interesting Patterns in an e-Learning System.

Cited by 85 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. Hyperbolic embedding of discrete evolution graphs for intelligent tutoring systems;Expert Systems with Applications;2024-05

2. A Systematic Review on Predicting the Performance of Students in Higher Education in Offline Mode Using Machine Learning Techniques;Wireless Personal Communications;2024-01-26

3. A novel methodology using RNN + LSTM + ML for predicting student’s academic performance;Education and Information Technologies;2024-01-06

4. Novel Machine Learning Approach for an Adaptive Learning System Based on Learner Performance;Lecture Notes in Networks and Systems;2024

5. Diagnosis of Faults in Electro-Mechanical Devices from Vibration Measurements;12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022);2024