Exploring Student Performance Patterns Using Tree-Based Techniques-Reference-Cited by-同舟云学术

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Exploring Student Performance Patterns Using Tree-Based Techniques

Published:2023-12-06 Issue: Volume:2021 Page:49-53
ISSN:
Container-title:2023 3rd International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS)
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Author:

Kurniadi Felix Indra¹,Dewi Meta Amalya²,Murad Dina Fitria²,Rabiha Sucianna Ghadati²,Romli Awanis³

Affiliation:

1. Bina Nusantara University,School of Computer Science,Computer Science Department,Jakarta,Indonesia,11530

2. Bina Nusantara University,BINUS Online Learning,Information Systems Department,Jakarta,Indonesia,11480

3. Faculty of Computing Universiti Malaysia Pahang,Pahang,Malaysia,26600

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434938/10434948/10435096.pdf?arnumber=10435096

Reference13 articles.

1. Performance Prediction for Higher Education Students Using Deep Learning;Li;Complexity,2021

2. Machine Learning Prediction of University Student Dropout: Does Preference Play a Key Role?;Segura;Mathematics,2022

3. The Role of Machine Learning in Identifying Students At-Risk and Minimizing Failure;Pek;IEEE Access,2023

4. Student Performance Prediction Model based on Supervised Machine Learning Algorithms

5. Student performance prediction using simple additive weighting method;Warnars;IAES International Journal of Artificial Intelligence (IJAI),2020

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