Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…

With the increasing refinement of language processing models and the new discoveries about which variables can modulate these processes, stimuli selection for experiments with a factorial design is becoming a tough task. Selecting sets of words that differ in one variable, while matching these same words into dozens of other confounding variables…

This article focusses on the specific learning disabilities found in schools such as Dyslexia and Dyscalculia, the influence of dyslexia on dyscalculia and the need to adopt certain strategies that help cope with this problem. Learners with multifarious language-related or arithmetic-related disabilities are found in most schools. These children…

School success in the 21st century requires proficiency with expository discourse--the use and understanding of informative language in spoken and written modalities. This occurs, for example, when high school students read their textbooks and listen to their teachers' lectures, and later are asked to demonstrate their knowledge of this complex…

The limited language capability of CAI systems has made it difficult to personalize problem-solving instruction. The intelligent tutoring system, ALBERT, is a problem-solving monitor and coach that has been used with high school and college level physics students for several years; it uses a natural language system to understand kinematics…