Authors:
Salvatore Cuomo
1
;
Antonella Olivo
2
;
Pasquale De Michele
1
;
Francesco Piccialli
1
;
Vincenzo Schiano Di Cola
1
and
Ennio Del Giudice
1
Affiliations:
1
University of Naples “Federico II”, Italy
;
2
Fondazione Istituto Antoniano di Ercolano, Italy
Keyword(s):
Carolina Curriculum, Assessment Program, Support for Clinical Decision-making, Age Level Estimate
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Data Visualization
;
Distributed and Mobile Software Systems
;
e-Health
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Ontologies and the Semantic Web
;
Platforms and Applications
;
Sensor Networks
;
Society, e-Business and e-Government
;
Software Engineering
;
Software Systems in Medicine
;
Web Information Systems and Technologies
Abstract:
The study of medical protocols for monitoring and analyzing the development of children with disabilities is a fundamental research area. A well established curriculum-based assessment is the Carolina Curriculum for Infants and Toddlers with Special Needs (CCITSN) together with the Carolina Curriculum for Preschoolers with Special Needs (CCPSN).
These are suitable curriculums for early intervention programs, where sequenced item data collection and analysis are used to monitor incremental changes of the program and to recognize the areas of relative strength and weakness in an individual infant, or child, with mild and moderate disabilities. In many recent papers, Cuomo, et al. introduced the client-server software C@rolin@ to
carry out all features of CCITSN, afterwards a Social Framework and an App (CarolApp). Despite of all these technological advantages, the software uses mathematical formulas that do not fully satisfy operators and do not help them to correctly establish
useful parameters. We address this problem by developing a more formalized mathematical model
in the determination of age levels that can be successfully used in the Carolina software.
(More)