Predicting academic success in higher education: literature review and best practices
E Alyahyan, D Düştegör - … Journal of Educational Technology in Higher …, 2020 - Springer
Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …
the institution's performance. Early detection of students at risk, along with preventive …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
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 …
education field the research is developing rapidly increasing due to huge number of …
Comparing different resampling methods in predicting students' performance using machine learning techniques
R Ghorbani, R Ghousi - IEEE Access, 2020 - ieeexplore.ieee.org
In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
Using data mining techniques to predict student performance to support decision making in university admission systems
HA Mengash - Ieee Access, 2020 - ieeexplore.ieee.org
An admissions system based on valid and reliable admissions criteria is very important to
select candidates likely to perform well academically at institutions of higher education. This …
select candidates likely to perform well academically at institutions of higher education. This …
Predicting at-risk students at different percentages of course length for early intervention using machine learning models
Online learning platforms such as Massive Open Online Course (MOOC), Virtual Learning
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
The role of demographics in online learning; A decision tree based approach
Research has shown online learners' performance to have a strong association with their
demographic characteristics, such as regional belonging, socio-economic standing …
demographic characteristics, such as regional belonging, socio-economic standing …
Prediction of Student's performance by modelling small dataset size
A Zohair, L Mahmoud - International Journal of Educational Technology in …, 2019 - Springer
Prediction of student's performance became an urgent desire in most of educational entities
and institutes. That is essential in order to help at-risk students and assure their retention …
and institutes. That is essential in order to help at-risk students and assure their retention …
[HTML][HTML] Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation
The applications of artificial intelligence in education have increased in recent years.
However, further conceptual and methodological understanding is needed to advance the …
However, further conceptual and methodological understanding is needed to advance the …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …