Educational data mining and learning analytics for 21st century higher education: A review and synthesis
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …
outcomes has been realized in higher education. Hence, a comprehensive review of …
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 …
A review on predicting student's performance using data mining techniques
AM Shahiri, W Husain - Procedia Computer Science, 2015 - Elsevier
Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …
A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms
K Colchester, H Hagras, D Alghazzawi… - Journal of Artificial …, 2017 - sciendo.com
The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …
fact that the learning process is different for each and every learner. In order to provide …
Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
Predicting academic performance by considering student heterogeneity
The capacity to predict student academic outcomes is of value for any educational institution
aiming to improve student performance and persistence. Based on the generated …
aiming to improve student performance and persistence. Based on the generated …
Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining …
Building a student performance prediction model that is both practical and understandable
for users is a challenging task fraught with confounding factors to collect and measure. Most …
for users is a challenging task fraught with confounding factors to collect and measure. Most …
Toward predicting student's academic performance using artificial neural networks (ANNs)
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …
new advancement of technologies in educational displacement has unlimited potentials …
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 …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Predicting student final performance using artificial neural networks in online learning environments
Ş Aydoğdu - Education and Information Technologies, 2020 - Springer
Prediction of student performance is one of the most important subjects of educational data
mining. Artificial neural networks are seen to be an effective tool in predicting student …
mining. Artificial neural networks are seen to be an effective tool in predicting student …