Solutions and trends of recommendation systems for massive open online courses
Bibliographic Data
| ID | 21402166 |
|---|---|
| Authors | Rodrigo Campos (0000-0003-4038-0485, Universidade Federal do Rio de Janeiro, corresponding author), Rodrigo Pereira Dos Santos (0000-0003-4749-2551, Universidade Federal do Estado do Rio de Janeiro), Jonice Oliveira (0000-0002-2495-1463, Universidade Federal do Rio de Janeiro) |
| Year | 2025 |
| Volume | 217 |
| Pages | 124118 |
| Publication date | 2025-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2025.124118 |
| OpenAlex | W4410020143 |
| Language | EN |
| References cited | 50 |
Data science · Information retrieval · Recommender system · World Wide Web · Computer Science · Online Learning and Analytics · Open Education and E-Learning · Recommender Systems and Techniques
Bridging Digital Divides
AI4People—An Ethical Framework for a Good AI Society
Recommender Systems for Moocs
A Combined Weighting Based Large Scale Group Decision Making Framework for Mooc Group Recommendation
Large scale analytics of global and regional Mooc providers
New challenges in higher education
Digital transformation in education
Open Education and Education for Openness
| Citation velocity | historical |
|---|---|
| Highly cited | No |