Date of Award
2015
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational and Data Sciences
First Advisor
Erik Linstead
Second Advisor
Peiyi Zhao
Third Advisor
Dennis Dixon
Abstract
In the age of online courses and digital textbooks, several areas of academia, such as special education, are far behind in the technological revolution. Some teachers use long unstructured digital documents, while others maintain large physical files for students containing every piece of information or coursework they have ever received. Could these extremely unstructured approaches to data collection and aggregation be streamlined with a software platform built specifically for this purpose? Could this platform also be built to accommodate multiple integrations and practical new features? Most importantly, in terms of usability, would this software be enjoyable to use? The Autism Management Platform was initially built for parents of children with Autism to be able to post and view various events and activities throughout their child’s life. The platform now allows for communication on posts between parents, teachers, physicians, and anyone else involved in the child’s life who is authorized to do so. What started as a general platform built for Autism was able to adopt an integration specific to special education. The Autism Management Platform was then further enriched by new features, such as the addition of appointments and visual schedules, proving that it could serve beyond the platform it was intended to be. Through several semester-long user trials in high school special education programs, it was found that real people could use an integration of this platform in an enjoyable and meaningful way.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
R. T. Burns, "An application of the autism management platform to tracking student progress in the special education environment," M.S. Thesis, Chapman University, Orange, CA, 2015. https://doi.org/10.36837/chapman.000007
Included in
Databases and Information Systems Commons, Other Computer Sciences Commons, Special Education and Teaching Commons, Systems Architecture Commons