In spite of the considerable body pedagogical and experimental research providing clear insights into best practices for pronunciation instruction, there exists relatively little implementation such in materials including textbooks. This is particularly true target languages other than English. With goal assisting instructors wishing to build effective evidence-based instructional practices, we...

Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual phenomenon. Most computational approaches to sarcasm detection, however, treat it as a purely linguistic matter, using information such as lexical cues and their corresponding sentiment as predictive features. We show that by including extra-linguistic information from the context of an utterance ...

Retargetable executable-code decompilation is a one of the most complicated reverse-engineering tasks. Among others, it involves de-optimization of compiler-optimized code. One type of such an optimization is usage of so-called instruction idioms. These idioms are used to produce faster or even smaller executable files. On the other hand, decompilation of instruction idioms without any advanced...

4-H and Extension educators who work with youth are uniquely positioned to help them meaningfully learn about global climate change (GCC) in a way that connects their everyday lives interests. Yet we don’t have baseline understanding of these educators’ knowledge GCC or how they teach it. This paper presents brief findings study intended fill gap knowledge. Educators from six states responded a...

This research addresses the use of mobile devices with both embedded and external sensors to provide contextualized help, advice, and remediation to learners engaged in real-world learn-by-doing tasks. This work is situated within the context of learning a complex procedure, in particular emergency responders learning to conduct urban search and rescue operations. Research issues include the de...