Recent advancements in large language models (LLMs) have shown potential in enhancing educational practices, particularly in technology-assisted learning environments. This study critically evaluates the reasoning capabilities of LLMs, such as ChatGPT, within the context of chemistry education. We designed targeted adversarial prompts that…

With the increasing attention and surge of empirical research in providing academic instruction for students with autism spectrum disorder (ASD) comes the need to provide teachers with research-supported strategies. Using one evidence-based strategy for teaching mathematics to students with high incidence disabilities, and another for teaching…

Background: We tested the effects of an intervention on the learning of introductory thermodynamics principles. This intervention, OEM-Thermo, is designed to prompt the cognitive operations of meaningful learning: organization, elaboration, and monitoring. We also sought evidence to show that execution of these operations was associated with…

This study investigated several questions generated by cueing system research. The cueing system is perceived as a means of directing our categorizing behaviors in the processing and recall of information. Experiments involved a comparison of categorical cueing systems on a given task in relation to two control areas: (1) subjects using a free…

Students in Grades six, seven, and eight were asked to integrate existing information and initially unknown answers to prose-related questions for answering superordinate questions. Results suggest that grade level development of hypothetico-deductive skills interacts with instructional prompt levels and that these skills are essential to…