Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Developmental Disabilities | 1 |
| Individual Needs | 1 |
| Intellectual Disability | 1 |
| Needs Assessment | 1 |
| Prediction | 1 |
| Test Construction | 1 |
| Test Length | 1 |
| Test Validity | 1 |
Source
| British Journal of Learning… | 1 |
Author
| Felipe Espinosa Parra | 1 |
| Félix González-Carrasco | 1 |
| Izaskun Álvarez-Aguado | 1 |
| Miguel Roselló-Peñaloza | 1 |
| Sebastián Ponce Olguín | 1 |
| Vanessa Vega Córdova | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkFélix González-Carrasco; Felipe Espinosa Parra; Izaskun Álvarez-Aguado; Sebastián Ponce Olguín; Vanessa Vega Córdova; Miguel Roselló-Peñaloza – British Journal of Learning Disabilities, 2025
Background: The study focuses on the need to optimise assessment scales for support needs in individuals with intellectual and developmental disabilities. Current scales are often lengthy and redundant, leading to exhaustion and response burden. The goal is to use machine learning techniques, specifically item-reduction methods and selection…
Descriptors: Artificial Intelligence, Intellectual Disability, Developmental Disabilities, Individual Needs
