We conducted two studies to investigate the extent to which brief, spaced, mastery practice on skills relevant to introductory physics affects student performance. The first study investigated the effect of practice of "specific" physics skills, each one relevant to only one or a few items on the course exam. This study employed a…

This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…

This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading of large numbers of student written responses to introductory level physics problems. Students were instructed to write down verbal explanations of their reasoning process when solving one conceptual…

In a technology-enhanced learning environment and underpinned by a unique hybrid pedagogic model that borrows from gamification, constructivism, and experiential learning approaches, badges were purposefully used to foster engagement. This approach promoted the development of a mindset that identifies and appreciates the worth of a portfolio of…

ChatGPT has emerged as a popular choice in education that has transformed the experience for both teachers and students. This study investigates the performance of ChatGPT in aiding learning in the biochemistry classroom in two ways. We sought to determine how effective ChatGPT 3.5 was in generating study materials for an introductory biochemistry…

We investigate a personal response system (PRS) pedagogy for lecture halls that encourages active engagement yet lowers barriers for implementation by eliminating the need to address student requests to make up questions because students must answer (not necessarily correctly) only more than half (greater than or equal 50%) of PRS questions to…

High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…

This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…

[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Artificial intelligence-based chatbots are increasingly influencing physics education because of their ability to interpret and respond to textual and visual inputs. This study evaluates the performance of two large…

This research investigated how collaborative e-learning strategies affected the understanding of DNA Replication among the 9th-grade Biology CC class. The study involved 24 diverse students (ages 15-17), including regular education students, English Language Learners (ELLs), and students with IEPs selected through proportional stratified random…

This is the second of 2 reports that look at the results of TIMSS 2023 and Australia's performance. This report, Volume II, presents the results from the contextual questionnaires, and examines the home, school, and classroom contexts in which learning and achievement occur, as well as student attitudes. Each chapter focuses on different…