Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…

Gateway science courses are an ongoing obstacle to recruitment into STEM fields (Science, Technology, Engineering, and Mathematics). Students come into courses that have a high cognitive load, which makes success in the course challenging. Instructional design can be used to reduce cognitive load. The findings demonstrate that leveraging pre- and…

The primary purpose of this study was to compare academic variables from students participating in mixed teaching methods/course revitalization biology courses to those in traditional courses at two community colleges in Tennessee. A two-group comparison design using archived data was used, which evaluated differences in final grades, exam scores,…

Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…

L2 extensive reading (ER) research primarily studies intermediate and upper-intermediate learners, but few studies investigate beginners. This study addresses this gap by reporting on beginner Japanese as Foreign Language (JFL) learners' attempts to do ER according to Waring and McLean's (2015) ER principles. In this study, 13 second-semester…