Combining Child Functioning Data with Learning and Support Needs Data to Create Disability-Identification Algorithms in Fiji's Education Management Information System
Beth Sprunt, Manjula Marella
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | MDPI | Published : 2021
Disability disaggregation of Fiji's Education Management Information System (FEMIS) is required to determine eligibility for inclusive education grants. Data from the UNICEF/Washington Group Child Functioning Module (CFM) alone is not accurate enough to identify disabilities for this purpose. This study explores whether combining activity and participation data from the CFM with data on environmental factors specific to learning and support needs (LSN) more accurately identifies children with disabilities. A survey on questions related to children's LSN (personal assistance, adaptations to learning, or assessment and assistive technology) was administered to teachers within a broader diagnos..View full abstract
Awarded by Department of Foreign Affairs and Trade, Australian Government
This work was supported by Department of Foreign Affairs and Trade, Australian Government (grant number 66440).