Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced
computing technologies, AI performance prediction model is widely used to identify at-risk …
computing technologies, AI performance prediction model is widely used to identify at-risk …
Artificial intelligence-enabled prediction model of student academic performance in online engineering education
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 …
students due to the lack of usage of learning process, summative data and a precise …
Predicting student performance using advanced learning analytics
Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as
interesting areas of research, which are unfolding useful knowledge from educational …
interesting areas of research, which are unfolding useful knowledge from educational …
Insights into LSTM fully convolutional networks for time series classification
Long short-term memory fully convolutional neural networks (LSTM-FCNs) and Attention
LSTM-FCN (ALSTM-FCN) have shown to achieve the state-of-the-art performance on the …
LSTM-FCN (ALSTM-FCN) have shown to achieve the state-of-the-art performance on the …
Impacts on students' academic performance due to emergency transition to remote teaching during the COVID-19 pandemic: A financial engineering course case …
R Nazempour, H Darabi, PC Nelson - Education Sciences, 2022 - mdpi.com
The COVID-19 pandemic has enforced higher education institutions to adopt emergency
remote teaching (ERT) as the substitution for traditional face-to-face (F2F) classes. A lot of …
remote teaching (ERT) as the substitution for traditional face-to-face (F2F) classes. A lot of …
Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks
ABSTRACT Student dropout in Engineering Education is an important problem which has
been studied from different perspectives, as well as using different techniques. This …
been studied from different perspectives, as well as using different techniques. This …
Education analytics: Challenges and approaches
L Zhang, KF Li - 2018 32nd international conference on …, 2018 - ieeexplore.ieee.org
We present a survey on the current status of education analytics. Over 80 state-of-the-art
research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore …
research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore …
Student success prediction using student exam behaviour
Abstract The Faculty of Mechanical Engineering, Czech Technical University in Prague
(FME) faces a significant student drop-out in the first-year bachelor programme, which is an …
(FME) faces a significant student drop-out in the first-year bachelor programme, which is an …
Automatic assessment of students' engineering design performance using a Bayesian network model
Integrating engineering design into K-12 curricula is increasingly important as engineering
has been incorporated into many STEM education standards. However, the ill-structured …
has been incorporated into many STEM education standards. However, the ill-structured …