Using parent report to assess bilingual vocabulary acquisition: a model from Irish

This chapter describes the adaptation of a parent report instrument on early language development to a bilingual context. Beginning with general issues of adapting tests to any language, particular attention is placed on the issue of using parents as evaluators of child language acquisition of a minority language in a bilingual context. In Ireland, Irish is the first official language and is spoken by about 65,000 people on a daily basis. However all Irish speakers are bilingual, and children are exposed to the dominant English language at an early age. Using an adaptation of a parent report instrument, 21 typically developing children between 16 and 40 months were assessed repeatedly over two years to monitor their language development. The form allowed parents to document their children’s vocabulary development in both languages. Results showed that when knowledge of both languages was accounted for, the children acquired vocabulary at rates similar to those of monolingual speakers and used translational equivalents relatively early in language development. The study also showed that parents of bilingual children could accurately identify and differentiate language development in both of the child’s languages. Recommendations for adapting and using parent report instruments in bilingual language acquisition contexts are outlined.

Investigation into a best practice model for providing an integrated user experience with mobile cloud applications

Mobile Cloud Computing promises to overcome the physical limitations of mobile devices by executing demanding mobile applications on cloud infrastructure. In practice, implementing this paradigm is difficult; network disconnection often occurs, bandwidth may be limited, and a large power draw is required from the battery, resulting in a poor user experience. This thesis presents a mobile cloud middleware solution, Context Aware Mobile Cloud Services (CAMCS), which provides cloudbased services to mobile devices, in a disconnected fashion. An integrated user experience is delivered by designing for anticipated network disconnection, and low data transfer requirements. CAMCS achieves this by means of the Cloud Personal Assistant (CPA); each user of CAMCS is assigned their own CPA, which can complete user-assigned tasks, received as descriptions from the mobile device, by using existing cloud services. Service execution is personalised to the user's situation with contextual data, and task execution results are stored with the CPA until the user can connect with his/her mobile device to obtain the results. Requirements for an integrated user experience are outlined, along with the design and implementation of CAMCS. The operation of CAMCS and CPAs with cloud-based services is presented, specifically in terms of service description, discovery, and task execution. The use of contextual awareness to personalise service discovery and service consumption to the user's situation is also presented. Resource management by CAMCS is also studied, and compared with existing solutions. Additional application models that can be provided by CAMCS are also presented. Evaluation is performed with CAMCS deployed on the Amazon EC2 cloud. The resource usage of the CAMCS Client, running on Android-based mobile devices, is also evaluated. A user study with volunteers using CAMCS on their own mobile devices is also presented. Results show that CAMCS meets the requirements outlined for an integrated user experience.