A survey of machine learning approaches for student dropout prediction in online courses

B Prenkaj, P Velardi, G Stilo, D Distante… - ACM Computing Surveys …, 2020 - dl.acm.org
The recent diffusion of online education (both MOOCs and e-courses) has led to an
increased economic and scientific interest in e-learning environments. As widely …

[HTML][HTML] Indicators for enhancing learners' engagement in massive open online courses: A systematic review

AA Ogunyemi, JS Quaicoe, M Bauters - Computers and Education Open, 2022 - Elsevier
Massive open online courses (MOOCs) have paved a new learning path for the 21st-century
world. The potential to reach a massive geographically dispersed audience is one of the …

Connecting the dots–A literature review on learning analytics indicators from a learning design perspective

A Ahmad, J Schneider, D Griffiths… - Journal of Computer …, 2024 - Wiley Online Library
Background During the past decade, the increasingly heterogeneous field of learning
analytics has been critiqued for an over‐emphasis on data‐driven approaches at the …

[PDF][PDF] The journey of learning analytics

S Joksimović, V Kovanović, S Dawson - HERDSA Review of Higher …, 2019 - herdsa.org.au
It has been almost a decade since the emergence of learning analytics, a bricolage field of
research and practice that focuses on understanding and optimising learning and learning …

Systematic review of discussion forums in massive open online courses (MOOCs)

O Almatrafi, A Johri - IEEE Transactions on Learning …, 2018 - ieeexplore.ieee.org
Discussion forums are the primary and most widely used venue for social learning and
communication in MOOC context. There has been an interest in the last few years to study …

Learning communities in the crowd: Characteristics of content related interactions and social relationships in MOOC discussion forums

AF Wise, Y Cui - Computers & education, 2018 - Elsevier
This mixed method study used social network analysis (SNA) and inductive qualitative
analysis to compare social relationships and the underlying interactions they represent in …

[HTML][HTML] When, how and for whom changes in engagement happen: A transition analysis of instructional variables

M Saqr, S López-Pernas, LVDE Vogelsmeier - Computers & Education, 2023 - Elsevier
The pace of our knowledge on online engagement has not been at par with our need to
understand the temporal dynamics of online engagement, the transitions between …

Exploring the temporal dimension of forum participation in MOOCs

H Tang, W **ng, B Pei - Distance Education, 2018 - Taylor & Francis
Discussion forums are increasingly central to massive open online courses (MOOCs), and it
is vital for learners to participate in associated forum activities. Active forum participation …

Knowledge transfer between physicians from different geographical regions in China's online health communities

Z Deng, Z Deng, S Liu, R Evans - Information Technology and …, 2023 - Springer
Abstract Online Health Communities (OHCs) are a type of self-organizing platform that
provide users with access to social support, information, and knowledge transfer …

How widely can prediction models be generalized? Performance prediction in blended courses

N Gitinabard, Y Xu, S Heckman… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Blended courses that mix in-person instruction with online platforms are increasingly
common in secondary education. These platforms record a rich amount of data on students' …