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 …

How do we model learning at scale? A systematic review of research on MOOCs

S Joksimović, O Poquet, V Kovanović… - Review of …, 2018 - journals.sagepub.com
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 …

Sentiment analysis on massive open online course evaluations: a text mining and deep learning approach

A Onan - Computer Applications in Engineering Education, 2021 - Wiley Online Library
Massive open online courses (MOOCs) are recent innovative approaches in distance
education, which provide learning content to participants without age‐, gender‐, race‐, or …

Examining the moderating effect of perceived benefits of maintaining social distance on e-learning quality during COVID-19 pandemic

C Saxena, H Baber, P Kumar - Journal of Educational …, 2021 - journals.sagepub.com
Technology has influenced every aspect of our living, and education is not an exception.
During the current pandemic period of COVID-19, the latent motive of maintaining social …

Learning engagement and persistence in massive open online courses (MOOCS)

Y Jung, J Lee - Computers & Education, 2018 - Elsevier
The purpose of this study was to investigate how to facilitate learners' engagement and
persistence in massive open online courses (MOOCs). Specifically, this study used structural …

[HTML][HTML] Exploring the factors affecting MOOC retention: A survey study

KS Hone, GR El Said - Computers & Education, 2016 - Elsevier
Abstract Massive Open Online Courses (MOOCs) hold the potential to open up educational
opportunities to a global audience. However, evidence suggests that only a small proportion …

Factors affecting student dropout in MOOCs: a cause and effect decision‐making model

H Aldowah, H Al-Samarraie, AI Alzahrani… - Journal of Computing in …, 2020 - Springer
Massive open online courses (MOOCs) are among the latest e-learning initiative that have
gained a wide popularity among many universities. Student dropout in MOOCs is a major …

Exploring the structural relationships between course design factors, learner commitment, self-directed learning, and intentions for further learning in a self-paced …

D Kim, E Jung, M Yoon, Y Chang, S Park, D Kim… - Computers & …, 2021 - Elsevier
The open and massive characteristics of Massive Open Online Course (MOOC) lead to a
lack of instructor presence, which potentially hinders learners' commitment and learning …

What grounded theory is… a critically reflective conversation among scholars

I Walsh, JA Holton, L Bailyn… - Organizational …, 2015 - journals.sagepub.com
Grounded theory (GT) is taught in many doctoral schools across the world and exemplified
in most methodological books and publications in top-tier journals as a qualitative research …

Integrating innovation diffusion theory with technology acceptance model: Supporting students' attitude towards using a massive open online courses (MOOCs) …

WM Al-Rahmi, N Yahaya, MM Alamri… - Interactive Learning …, 2021 - Taylor & Francis
This research intends to investigate factors affecting students' behavioural intentions to use
a massive open online courses (MOOCs) system. Integrating the technology acceptance …