A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness

Children’s self-regulation skills predict their school-readiness and social behaviors, and assessing these skills enables parents and teachers to target areas for improvement or prepare children to enter school ready to learn and achieve. Assessing these skills enables parents and teachers to target areas for improvement or prepare children to enter school ready to learn and achieve. To assess children’s fine motor skills, current educators are assessing those skills by either determining their shape drawing correctness or measuring their drawing time durations through paper-based assessments. However, the methods involve human experts manually assessing children’s fine motor skills, which are time consuming and prone to human error and bias. As there are many children that use sketch-based applications on mobile and tablet devices, computer-based fine motor skill assessment has high potential to solve the limitations of the paper-based assessments. Furthermore, sketch recognition technology is able to offer more detailed, accurate, and immediate drawing skill information than the paper-based assessments such as drawing time or curvature difference. While a number of educational sketch applications exist for teaching children how to sketch, they are lacking the ability to assess children’s fine motor skills and have not proved the validity of the traditional methods onto tablet-environments. We introduce our fine motor skill classifying framework based on children’s digital drawings on tablet-computers. The framework contains two fine motor skill classifiers and a sketch-based educational interface (EasySketch). The fine motor skill classifiers contain: (1) KimCHI: the classifier that determines children’s fine motor skills based on their overall drawing skills and (2) KimCHI2: the classifier that determines children’s fine motor skills based on their curvature- and corner-drawing skills. Our fine motor skill classifiers determine children’s fine motor skills by generating 131 sketch features, which can analyze their drawing ability (e.g. DCR sketch feature can determine their curvature-drawing skills). We first implemented the KimCHI classifier, which can determine children’s fine motor skills based on their overall drawing skills. From our evaluation with 10- fold cross-validation, we found that the classifier can determine children’s fine motor skills with an f-measure of 0.904. After that, we implemented the KimCHI2 classifier, which can determine children’s fine motor skills based on their curvature- and corner-drawing skills. From our evaluation with 10-fold cross-validation, we found that the classifier can determine children’s curvature-drawing skills with an f-measure of 0.82 and corner-drawing skills with an f-measure of 0.78. The KimCHI2 classifier outperformed the KimCHI classifier during the fine motor skill evaluation. EasySketch is a sketch-based educational interface that (1) determines children’s fine motor skills based on their drawing skills and (2) assists children how to draw basic shapes such as alphabet letters or numbers based on their learning progress. When we evaluated our interface with children, our interface determined children’s fine motor skills more accurately than the conventional methodology by f-measures of 0.907 and 0.744, accordingly. Furthermore, children improved their drawing skills from our pedagogical feedback. Finally, we introduce our findings that sketch features (DCR and Polyline Test) can explain children’s fine motor skill developmental stages. From the sketch feature distributions per each age group, we found that from age 5 years, they show notable fine motor skill development

Mobile collaboration for young children: Reading and creating stories

Within the last decade, mobile devices have become an integral part of society, at home or work, in industrialized and developing countries. For children, these devices have primarily been geared towards communication, information consumption, or individual creative purposes. Prior research indicates social interaction and collaboration are essential to the social and cognitive development of young children. This dissertation research focuses on supporting collaboration among mobile users, specifically children ages 6 to 10—while collaboratively reading and creating stories. I developed Mobile Stories, a novel software system for the Windows Mobile platform that supports collaborative story experiences, with special attention to two collocated collaboration experiences: content splitting and space sharing. Content splitting is where interface parts (e.g. words, pictures) are split between two or more devices. Space sharing is where the same content (e.g. a document) is spread or shared across devices. These collocated collaborative configurations help address mobile devices' primary limitation: a small screen. The three research questions addressed are: how does Mobile Stories affect children's collaboration and mobility, what are some appropriate interfaces for collocated mobile collaboration with children, and when are the developed interfaces preferred and why. Mobile Stories was designed and develop using the Cooperative Inquiry design method. Formative studies furthered the design process, and gave insight as to how these collaborative interfaces might be used. A formal, mixed method study was conducted to investigate the relative advantages for each of the collocated collaborative interfaces, as well as to explore mobility and collaboration. The results of the formal study show children were more mobile while creating stories than when reading and sharing them. As for task effectiveness, children read more pages when they were closer, and created more pages when they were further apart and more mobile. Children were closer together when they read using the content split configuration. While creating their stories, children rarely used the collocated collaborative configurations and used verbal collaboration instead. Several indicators pointed to relative advantages of the split content configuration over the share space configuration; however, the advantages of each are discussed