Need for interpretable student performance prediction
M Chitti, P Chitti, M Jayabalan - 2020 13th International …, 2020 - ieeexplore.ieee.org
The education domain is growing at an exponential rate, maturing with the introduction of
innovative and improved offerings to the learning community aided by various Education …
innovative and improved offerings to the learning community aided by various Education …
A multi-label ensemble predicting model to service recommendation from social media contents
Consumer sentiment is one of the essential measures of predictive recommendations in
travel and tourism. Nowadays, a massive amount of data is available on the online platform …
travel and tourism. Nowadays, a massive amount of data is available on the online platform …
A review on machine learning based student's academic performance prediction systems
R Katarya, J Gaba, A Garg… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
Prediction of academic performance of students beforehand provides scope to universities
to lower their dropout rate and help the students in improving their performance. In this field …
to lower their dropout rate and help the students in improving their performance. In this field …
Multi-output based hybrid integrated models for student performance prediction
H Xue, Y Niu - Applied Sciences, 2023 - mdpi.com
In higher education, student learning relies increasingly on autonomy. With the rise in
blended learning, both online and offline, students need to further improve their online …
blended learning, both online and offline, students need to further improve their online …
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
Y Chen, J Sun, J Wang, L Zhao, X Song… - ar** students not only master a
skill but also apply it effectively. Educational data mining (EDM) and machine learning (ML) …
skill but also apply it effectively. Educational data mining (EDM) and machine learning (ML) …
A multiorder feature tracking and explanation strategy for explainable deep learning
L Zheng, Y Lin - Journal of Intelligent Systems, 2023 - degruyter.com
A good AI algorithm can make accurate predictions and provide reasonable explanations for
the field in which it is applied. However, the application of deep models makes the black box …
the field in which it is applied. However, the application of deep models makes the black box …
[PDF][PDF] Students Final Academic Score Prediction Using Boosting Regression Algorithms
DN Muhammady, HAE Nugraha… - Jurnal Ilmiah Teknik …, 2024 - eprints.uad.ac.id
Academic grades are crucial in education because they assist students in acquiring the
knowledge and skills necessary to succeed in school and their future. Accurately predicting …
knowledge and skills necessary to succeed in school and their future. Accurately predicting …
A Comparative Analysis of the Capabilities of Nature-inspired Feature Selection Algorithms in Predicting Student Performance
T Trask - arxiv preprint arxiv:2308.08574, 2023 - arxiv.org
Predicting student performance is key in leveraging effective pre-failure interventions for at-
risk students. In this paper, I have analyzed the relative performance of a suite of 12 nature …
risk students. In this paper, I have analyzed the relative performance of a suite of 12 nature …
Pfcmvo: Political fractional competitive multi-verse optimization enabled deep neuro fuzzy network for student performance estimation in spark environment
A Jyoti Baruah, S Baruah - International Journal of Modeling …, 2022 - World Scientific
Student performance calculation is an essential process in online learning scheme, which
intends to afford students along with admittance to active learning. Student performance …
intends to afford students along with admittance to active learning. Student performance …