Facilitated communication with children diagnosed as autistic in public school settings

In spite of claims that facilitated communication is a unique and effective communication option for individuals with autism, validity of this method has not been established. The present study focused on evaluating the effectiveness of facilitated communication with elementary-age children with autism. Ten public school children and their teachers, who served as facilitators, were involved in this 15-week facilitated communication validation study. Several subjects revealed ability to complete simple responses to requests and questions to which the facilitators knew the answers. However, little success was shown by subjects in answering questions to which the facilitators lacked answers, or in communicating via an augmentative communication device. Results of the study are discussed, along with implications for future use of facilitated communication with children with autism.     

The concurrent validity of the peabody individual achievement test relative to the KeyMath diagnostic arithmetic test among adolescents

To investigate the concurrent validity of the Peabody Individual Achievement Test and the KeyMath Diagnostic Arithmetic Test, both instruments were administered to 171 adolescents. Math scores on the Peabody Individual Achievement Test were correlated with all scores on the KeyMath Diagnostic Arithmetic Test. Partial correlation coefficients were computed according to age, sex, race, IQ, and total group. The presence of relatively high and positive partial correlations between the scores supported the concurrent validity of the instruments.     

A Cost–Benefit Analysis of Automatic Item Generation

Automatic item generation (AIG)—a means of leveraging technology to create large quantities of items—requires a minimum number of items to offset the sizable upfront investment (i.e., model development and technology deployment) in order to achieve cost savings. In this cost–benefit analysis, we estimated the cost of each step of AIG and manual item writing and applied cost—benefit formulas to calculate the number of items that would have to be produced before the upfront costs of AIG outweigh manual item writing costs in the context of K‐12 mathematics items. Results indicated that AIG is more cost‐effective than manual item writing when developing, at a minimum, 173 to 247 items within one fine‐grained content area (e.g., fourth‐ through seventh‐grade area of figures). The article concludes with a discussion of implications for test developers and the nonmonetary tradeoffs involved in AIG.     

Next generation network environments in Europe — The significance of the EU as a policy actor

The relatively new topic of Next Generation Networks (NGN) is one which is ascending rapidly communications policy agendas in Europe and beyond. How these networks might be created and, beyond that, how they might function in a sustained and broadly useful manner, and the implications of this, are issues which crystallise a raft of often complex policy concerns that have emerged, for at least a decade, in historically distant though increasingly connected quarters of electronic network communications. This article breaks new ground in the analysis of the emerging role of the EU by exploring EU NGN policy from a convergence infrastructural and content perspective. Whilst at this stage, despite new ‘policy packaging’, the EU's NGN policy activity is resonant of past telecommunications and audiovisual policies, the article contends that there are key areas where the EU can exercise considerable policy leverage through utilising a combination of formal legal and soft governance capacities. This has a greater chance of materialising how the more transnational NGN networks and services become.     

Multimodal biomedical image indexing and retrieval using descriptive text and global feature mapping

The images found within biomedical articles are sources of essential information useful for a variety of tasks. Due to the rapid growth of biomedical knowledge, image retrieval systems are increasingly becoming necessary tools for quickly accessing the most relevant images from the literature for a given information need. Unfortunately, article text can be a poor substitute for image content, limiting the effectiveness of existing text-based retrieval methods. Additionally, the use of visual similarity by content-based retrieval methods as the sole indicator of image relevance is problematic since the importance of an image can depend on its context rather than its appearance. For biomedical image retrieval, multimodal approaches are often desirable. We describe in this work a practical multimodal solution for indexing and retrieving the images contained in biomedical articles. Recognizing the importance of text in determining image relevance, our method combines a predominately text-based image representation with a limited amount of visual information, in the form of quantized content-based visual features, through a process called global feature mapping. The resulting multimodal image surrogates are easily indexed and searched using existing text-based retrieval systems. Our experimental results demonstrate that our multimodal strategy significantly improves upon the retrieval accuracy of existing approaches. In addition, unlike many retrieval methods that utilize content-based visual features, the response time of our approach is negligible, making it suitable for use with large collections.