A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble…

The expanding domain of Artificial Intelligence (AI) offers a diverse array of educational applications and tools. However, the scholarly exploration of AI's suitability for enhancing English as a Foreign Language (EFL) instruction at the university level remains notably limited. This research gap impedes educators from fully harnessing AI's…

We discuss the real-time scoring logic for a self-administered oral reading assessment on mobile devices (Moby.Read) to measure the three components of children's oral reading fluency skills: words correct per minute, expression and comprehension. Critical techniques that make the assessment real-time on-device are discussed in detail. We propose…

Current education standards in the U.S. require school students to read and understand complex texts from different subject areas (e.g., social studies). However, such texts usually contain figurative language, complex phrases and sentences, as well as unfamiliar discourse relations. This may present an obstacle to students whose native language…

A museum can talk to its audience through a variety of channels, such as Web sites, help desks, human guides, brochures. A considerable effort is being made by museums to integrate these different means. The Web site can be designed to be reachable or even updateable from visitors inside the museum via touchscreen and wireless devices. But these…

Describes a graphic modeling, natural language processing system, VerbalImage, which mimics features of human shape reasoning. Subjects read the same text description and were able to recognize the image generated by the computer from among a series of other computer-generated images. Performance on task was as good as for a control group…