Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses

EB Costa, B Fonseca, MA Santana, FF de Araújo… - Computers in human …, 2017 - Elsevier
The data about high students' failure rates in introductory programming courses have been
alarming many educators, raising a number of important questions regarding prediction …

Prediction of motor failure time using an artificial neural network

G Scalabrini Sampaio, ARA Vallim Filho… - Sensors, 2019 - mdpi.com
Industry is constantly seeking ways to avoid corrective maintenance so as to reduce costs.
Performing regular scheduled maintenance can help to mitigate this problem, but not …

[PDF][PDF] Supervised learning algorithms in educational data mining: A systematic review

A Khalaf, JM Dahr, IA Najim, MBM Kamel… - … Europe Journal of …, 2021 - researchgate.net
Academic institutions always looking for tools that improve their performance and enhance
individuals' outcomes. Due to the huge ability of data mining to explore hidden patterns and …

Utilizing machine learning models to predict student performance from LMS activity logs

M Khan, S Naz, Y Khan, M Zafar, M Khan, G Pau - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, the application of data mining techniques on educational data has grown in
importance. Educational data mining can be used to find hidden patterns in students' …

Enhancing the capabilities of student result prediction system

P Chaudhury, S Mishra, HK Tripathy… - Proceedings of the …, 2016 - dl.acm.org
In the age of information and communication technology, technology is being used in every
domain. Education is the integral part of our society consisting of the teaching, learning and …

Effectiveness of feedback based on log file analysis in introductory programming courses

H Meier, M Lepp - Journal of Educational Computing …, 2023 - journals.sagepub.com
Especially in large courses, feedback is often given only on the final results; less attention is
paid to the programming process. Today, however, some programming environments, eg …

Optimized ensemble learning‐based student's performance prediction with weighted rough set theory enabled feature mining

N Sateesh, P Srinivasa Rao… - Concurrency and …, 2023 - Wiley Online Library
Currently, educational data mining act as a major part of student performance prediction
approaches and their applications. However, more ensemble methods are needed to …

Academic performance predictors

C Lei, KF Li - 2015 IEEE 29th International Conference on …, 2015 - ieeexplore.ieee.org
The ability to predict one's academic performance is a great asset for both the students and
the institution administrators. For the students, they can adjust workload, career direction …

Combination of Deep Learning Models for Student's Performance Prediction with a Development of Entropy Weighted Rough Set Feature Mining

S Nayani, SR P - Cybernetics and Systems, 2023 - Taylor & Francis
Nowadays, the prediction of student performance is still complicated to analyze the talent of
individuals and the effort to improve their academic performance. Moreover, the researchers …