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 …
MOOC dropout prediction using machine learning techniques: Review and research challenges
F Dalipi, AS Imran, Z Kastrati - 2018 IEEE global engineering …, 2018 - ieeexplore.ieee.org
MOOC represents an ultimate way to deliver educational content in higher education
settings by providing high-quality educational material to the students throughout the world …
settings by providing high-quality educational material to the students throughout the world …
Predicting students' performance in e-learning using learning process and behaviour data
F Qiu, G Zhang, X Sheng, L Jiang, L Zhu, Q Xiang… - Scientific Reports, 2022 - nature.com
E-learning is achieved by the deep integration of modern education and information
technology, and plays an important role in promoting educational equity. With the …
technology, and plays an important role in promoting educational equity. With the …
Dropout prediction in MOOCs: Using deep learning for personalized intervention
Massive open online courses (MOOCs) show great potential to transform traditional
education through the Internet. However, the high attrition rates in MOOCs have often been …
education through the Internet. However, the high attrition rates in MOOCs have often been …
Educational data mining and learning analytics
In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
Prediction of academic performance associated with internet usage behaviors using machine learning algorithms
X Xu, J Wang, H Peng, R Wu - Computers in Human Behavior, 2019 - Elsevier
College students are facilitated with increasingly convenient access to the Internet, which
has a civilizing influence on students' learning and living. This study attempts to reveal the …
has a civilizing influence on students' learning and living. This study attempts to reveal the …
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 …
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model
Online learning has been adopted rapidly by educational institutions and organizations.
Despite its many advantages, including 24/7 access, high flexibility, rich content, and low …
Despite its many advantages, including 24/7 access, high flexibility, rich content, and low …
Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization
Massive open online courses (MOOCs) have recently taken center stage in discussions
surrounding online education, both in terms of their potential as well as their high dropout …
surrounding online education, both in terms of their potential as well as their high dropout …
Student success prediction in MOOCs
Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …
critical component of effective content personalization and adaptive interventions. In this …