Educational Data Mining in Prediction of Students' Learning Performance: A Scoping Review

C Li, M Li, CL Huang, YT Tseng, SH Kim… - IFIP World Conference on …, 2022 - Springer
Students' academic achievement is always a target of concern for educational institutions.
Nowadays, the rapid development of digital transformation has resulted in huge amounts of …

A Review of IA Use in Education Analysis

JKM dos Santos, HO da Rocha… - 2023 Workshop on …, 2023 - ieeexplore.ieee.org
Higher education evasion is a problem that is present worldwide, and that has many
consequences to the society as a whole. So, given the importance of this problem, a lot of …

Systematic Review of Data Mining in Education on the Levels and Aspects of Education.

YM Missah, F Inusah, N Ussiph, T Frimpong - 2023 - researchsquare.com
Abstract The application of Data Mining (DM) in education is helping educational leadership
to make informed decisions. This review seeks to identify the pattern of DM research by …

Education as a complex system: an investigation of students' learning behaviours in programming education using complexity approaches.

TT Mai - 2022 - doras.dcu.ie
As a result of the COVID19 pandemic, more higher-level education courses have moved to
online channels, raising challenges among educators in monitoring students' learning …

Enhancing Grade Prediction in WE Learn Mobile Classroom Using Clustering-based Decision Tree

H Cailan - 2023 IEEE 6th International Conference on …, 2023 - ieeexplore.ieee.org
With the advent of the big data era, various industries are facing the trend of informatization,
and the education industry is no exception. Traditional teaching methods are no longer the …

Modeling Choice of Major of College Graduates: Do High School IT Courses Lead to Matriculation in the IT Field?

JS Ford - 2024 - aisel.aisnet.org
Abstract Enrollment in Information Technology-related university programs is a concern
given the reported shortage of qualified workers. Logistic Regression analysis can model …

Learners' Performance Evaluation Using Genetic Algorithms

TS Mian - The International Conference of Advanced Computing …, 2022 - Springer
In the education sector quality enhancement directly informs student performance.
Educational institutions typically make decisions based on prior student performance. The …

[PDF][PDF] A Preliminary Study on the Impact of Lower-Division Mathematics Courses on Student Success in Engineering

UC Cabuk, Y Ozturk - 2024 ASEE PSW Conference, 2024 - researchgate.net
Students' success in engineering programs–in terms of retention and graduation rates–is
significantly influenced by various cognitive and non-cognitive factors, as revealed in the …

MAKING SENSE OF STUDENTS'PROCRASTINATION HABITS: A COMBINED APPROACH INCORPORATING SYSTEMS THINKING AND LEARNING ANALYTICS

W Coetzee, R Goede - ICERI2023 Proceedings, 2023 - library.iated.org
Data science is currently one of the world's most in-demand jobs. Employers don't only
require highly cognitive skilled people to fill these positions but are also looking for people …

A Review on Students' Performance Prediction using Learning Analytics.

D Kumar, S Dhingra - Grenze International Journal of …, 2024 - search.ebscohost.com
Learning Analytics is a research area that is growing rapidly. It deals with selecting,
analyzing, and reporting educational data collected from various learning environments and …