Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Classification | 1 |
| Cluster Grouping | 1 |
| Foreign Countries | 1 |
| Games | 1 |
| Learner Engagement | 1 |
| Multivariate Analysis | 1 |
| Performance | 1 |
| Prediction | 1 |
| Preferences | 1 |
| Profiles | 1 |
| Student Characteristics | 1 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
| Portugal (Lisbon) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBarata, Gabriel; Gama, Sandra; Jorge, Joaquim; Gonçalves, Daniel – IEEE Transactions on Learning Technologies, 2016
State of the art research shows that gamified learning can be used to engage students and help them perform better. However, most studies use a one-size-fits-all approach to gamification, where individual differences and needs are ignored. In a previous study, we identified four types of students attending a gamified college course, characterized…
Descriptors: Prediction, Performance, Profiles, Games
