MS, Kent State University, 2017, College of Arts and Sciences / Department of Computer Science
Mobile apps and devices provide educators and students many advantages over traditional education technology such as being interactive, immersive and engaging, increase in student's motivation and the ease of personalized and collaborative learning. Research also has provided some evidence that mobile apps and devices are also being used to support learners with special needs and disabilities.
Thousands of special educational applications are launched on the iTunes and Google Player daily, but the question for parents, educators, and therapeutic professionals is, how they can identify which applications are worth using. Additionally, in order to know how to effectively use mobile applications in the classroom, educators, and therapeutic professionals need some professional instructional guidance. However, many teachers and therapeutic professionals have rarely received any formal training in the knowledge, skills, and practices that are necessary to integrate mobile technology in ways that will affect positive changes in students. New mobile applications are emerging every day, and one-time training is not possible.
In this thesis, we aimed to design and implement a Special Education Apps information management system called SpedApps. SpedApps is not only a scientific, informative and timely applications management system, but also is a searchable online database that catalogs high-quality applications for special education, especially those focusing on science, technology, engineering, arts, and math (STEAM). The database categorizes each app by the app name, publisher, price, objective, content area, domain, audience, and disability tags. Most of the app evaluation reports contain an objective review, evaluating whether the app provides the information such as: practice, feedback, progress, usability, and customization. Users can query the database through different filters such as: app keyword search, app name search, cost, topic search, etc.
We first (open full item for complete abstract)
Committee: Cheng-Chang Lu (Advisor); Richard Ferdig (Committee Member); Austin Melton (Committee Member); Xiang Lian (Committee Member)
Subjects: Computer Science