Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
Addressing various error patterns and maintaining student engagement are challenges in the education of students with Down syndrome. The complexity and unpredictability of individual learning behaviors are often beyond the capacity of existing adaptive AI frameworks. This short communication introd...
Saved in:
| Main Author: | Rania Lutfi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MO.RI Publishing
2025-04-01
|
| Series: | Journal of Digital Learning and Education |
| Subjects: | |
| Online Access: | https://journal.moripublishing.com/index.php/jdle/article/view/1539 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
АALTERNATIVE STRATEGIES FOR SOCIAL ADAPTATION DEVELOPMENT IN CHILDREN WITH DOWN SYNDROME
by: Diyana Georgieva
Published: (2019-06-01) -
ASSOCIATION OF AEROBIC FITNESS AND BODY COMPOSITION IN PEOPLE WITH DOWN SYNDROME
by: Gabriel Renaldo de Sousa, et al.
Published: (2022-12-01) -
TOP-DOWN AND BOTTOM-UP CLUSTER INITIATIVES IN EUROPE
by: MĂDĂLINA MATICIUC
Published: (2014-10-01) -
Assessing the impact of AI tools on mobility and daily assistance for children with down syndrome in Saudi Arabia
by: Rayan Alanazi, et al.
Published: (2025-08-01) -
DELAY ON GAIT PATTERNS ON DOWN SYNDROME CHILDREN
by: Pedro Paulo Deprá, et al.
Published: (2017-08-01)