Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…

Small-group discussions in which teachers and students interact with text are common in language arts classrooms. As documented in the extant literature, teacher discourse moves affect how the discussion unfolds and the resulting quality of the talk. What is not present in the literature is a unified lexicon or taxonomy for defining and…

Learning from visual representations is enhanced when learners appropriately integrate corresponding visual and verbal information. This study examined the effects of two methods of promoting integration, color coding and labeling, on learning about probabilistic reasoning from a table and text. Undergraduate students (N = 98) were randomly…