Factors affecting students' performance in higher education: a systematic review of predictive data mining techniques

A Abu Saa, M Al-Emran, K Shaalan - Technology, Knowledge and …, 2019 - Springer
Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

Automatic learning styles prediction: A survey of the State-of-the-Art (2006–2021)

M Raleiras, AH Nabizadeh, FA Costa - Journal of Computers in Education, 2022 - Springer
Learning systems, whether traditional or computerized ones, often have a teacher-based
design and use a “one-size-fits-all” approach. This approach ignores learners' differences …

Predicting academic performance of students using a hybrid data mining approach

BK Francis, SS Babu - Journal of medical systems, 2019 - Springer
Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Artificial intelligence-enabled prediction model of student academic performance in online engineering education

P Jiao, F Ouyang, Q Zhang, AH Alavi - Artificial Intelligence Review, 2022 - Springer
Online education has been facing difficulty in predicting the academic performance of
students due to the lack of usage of learning process, summative data and a precise …

[PDF][PDF] Educational data mining and analysis of students' academic performance using WEKA

S Hussain, NA Dahan, FM Ba-Alwib… - Indonesian Journal of …, 2018 - researchgate.net
In this competitive scenario of the educational system, the higher education institutes use
data mining tools and techniques for academic improvement of the student performance and …

An artificial intelligence approach to monitor student performance and devise preventive measures

I Khan, AR Ahmad, N Jabeur, MN Mahdi - Smart Learning Environments, 2021 - Springer
A major problem an instructor experiences is the systematic monitoring of students'
academic progress in a course. The moment the students, with unsatisfactory academic …

Using machine learning to predict student difficulties from learning session data

M Hussain, W Zhu, W Zhang, SMR Abidi… - Artificial Intelligence …, 2019 - Springer
The student's performance prediction is an important research topic because it can help
teachers prevent students from dropping out before final exams and identify students that …

Predicting student performance in higher education institutions using decision tree analysis

A Hamoud, AS Hashim, WA Awadh - International Journal of …, 2018 - papers.ssrn.com
The overall success of educational institutions can be measured by the success of its
students. Providing factors that increase success rate and reduce the failure of students is …

Educational data mining techniques for student performance prediction: method review and comparison analysis

Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …