<p> This dissertation examines the extent to which children's tablet software applications, commonly called <i>apps,</i> are designed appropriately to promote the optimal development of preschool children aged three to five. This study extends previous research, particularly the theoretical frameworks of <i>developmentally appropriate practice</i> and Bers' <i> positive technological development.</i> The researcher argues that, for children's mobile apps to be developmentally meaningful, they need to satisfy three conditions: (1) apps must be designed appropriately to accommodate the developmental stages and needs of young children; (2) content must be designed to promote young children's development in the areas of cognition, academic skills, social-emotional skills, and physical development; and (3) digital interactions engage children in activities and behaviors that foster optimal developmental assets. The researcher devised three instruments to evaluate and examine the breadth, depth, and design quality of 100 children's apps from the Apple's App Store for iPad. Content analysis revealed that only a non-significant majority of apps (58%) were meaningfully designed for preschool children in terms of user interface, audio and visual design, and instructional support. The apps selected for this sample included games and learning activities, interactive eBooks, as well as creativity and utility apps. The content of these apps tended to cluster around school skills and they rarely engaged children in activities beyond academic drill-and-practice. These apps largely ignored the social, emotional, and physical aspects of children's development. Using numerous vignettes and examples as illustrations, the analysis highlights design techniques, content offering, and technological features that could be productive toward children's development, as well as those that distract from meaningful user experiences. This study underscores the need for developmentally meaningful children's mobile apps for preschool children.</p>
Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3624692 |
Date | 08 August 2014 |
Creators | Chau, Clement L. |
Publisher | Tufts University |
Source Sets | ProQuest.com |
Language | English |
Detected Language | English |
Type | thesis |
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