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 …

A personalized recommendation framework based on MOOC system integrating deep learning and big data

B Li, G Li, J Xu, X Li, X Liu, M Wang, J Lv - Computers and Electrical …, 2023 - Elsevier
Finding the courses that users are interested in quickly in the massive data can make a very
important contribution to the accurate dissemination of knowledge. In this paper, we …

Factors affecting MOOC usage by students in selected Ghanaian universities

E Fianu, C Blewett, GOA Ampong, KS Ofori - Education Sciences, 2018 - mdpi.com
There has been widespread criticism about the rates of participation of students enrolled on
MOOCs (Massive Open Online Courses), more importantly, the percentage of students who …

Case study as a research method for analyzing MOOCs: Presence and characteristics of those case studies in the main scientific databases

R Montes-Rodríguez, JB Martínez-Rodríguez… - … International Review of …, 2019 - irrodl.org
Educational research is one of the many fields of knowledge that frequently use case studies
as a research method, particularly when applying an interpretive approach. Based on …

A survival analysis based volatility and sparsity modeling network for student dropout prediction

F Pan, B Huang, C Zhang, X Zhu, Z Wu, M Zhang, Y Ji… - PloS one, 2022 - journals.plos.org
Student Dropout Prediction (SDP) is pivotal in mitigating withdrawals in Massive Open
Online Courses. Previous studies generally modeled the SDP problem as a binary …

A time‐driven FCA‐based approach for identifying students' dropout in MOOCs

C Blundo, G Fenza, G Fuccio, V Loia… - International Journal of …, 2022 - Wiley Online Library
In online learning, the dropout phenomenon is a relevant issue to address with practical
solutions. Several data sets stimulate original, and resolutive data analysis approaches …

Factors affecting use of massive open online courses by Ghanaian students

V Arkorful, KA Barfi, NO Baffour - Cogent Education, 2022 - Taylor & Francis
The study examined how the perceived level of students' knowledge on Massive Open
Online Courses (MOOCs) influence its use. The study utilizes the use of Innovation Diffusion …