Exploring Student Performance Patterns Using Tree-Based Techniques

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

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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