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 …
Prediction in MOOCs: A review and future research directions
PM Moreno-Marcos, C Alario-Hoyos… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper surveys the state of the art on prediction in MOOCs through a systematic
literature review (SLR). The main objectives are: first, to identify the characteristics of the …
literature review (SLR). The main objectives are: first, to identify the characteristics of 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 …
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 …
MOOC learners' demographics, self-regulated learning strategy, perceived learning and satisfaction: A structural equation modeling approach
K Li - Computers & Education, 2019 - Elsevier
Abstract Massive Open Online Courses (MOOCs) provide a great platform to study individual
and group differences of learners in perceptions, motivations, and behaviors under self …
and group differences of learners in perceptions, motivations, and behaviors under self …
How do we model learning at scale? A systematic review of research on MOOCs
Despite a surge of empirical work on student participation in online learning environments,
the causal links between the learning-related factors and processes with the desired …
the causal links between the learning-related factors and processes with the desired …
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 …
Towards predicting student's dropout in university courses using different machine learning techniques
J Kabathova, M Drlik - Applied Sciences, 2021 - mdpi.com
Featured Application The found model with the best values of the performance metrics,
found as the result of comparing several machine learning classifiers, can identify students …
found as the result of comparing several machine learning classifiers, can identify students …
[HTML][HTML] Virtual learning environment engagement and learning outcomes at a 'bricks-and-mortar'university
CA Boulton, C Kent, HTP Williams - Computers & Education, 2018 - Elsevier
In this study, we analyse the relationship between engagement in a virtual learning
environment (VLE) and module grades at a 'bricks-and-mortar'university in the United …
environment (VLE) and module grades at a 'bricks-and-mortar'university in the United …
Which log variables significantly predict academic achievement? A systematic review and meta‐analysis
Q Wang, A Mousavi - British Journal of Educational …, 2023 - Wiley Online Library
Technologies and teaching practices can provide a rich log data, which enables learning
analytics (LA) to bring new insights into the learning process for ultimately enhancing …
analytics (LA) to bring new insights into the learning process for ultimately enhancing …