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 this study, we evaluate the validity of question 29 (Q.29) in the Force Concept Inventory (FCI), which requires an understanding of atmospheric pressure. At least in some Japanese physics classes, the rate of the correct answer to Q.29 is reduced between the pretest and post-test. To examine this deterioration of a student's response, we…

The purpose of this study is twofold: (1) to develop and validate a three-tier diagnostic test on work, power, and energy (WPE) concepts and (2) to identify Turkish pre-service science teachers' conceptual understanding through this test. The Work, Power, and Energy Concept Test (WPECT) was developed through interviews, read-aloud sessions, and…

Across the field of education research there has been an increased focus on the development, critique, and evaluation of statistical methods and data usage due to recently created, very large datasets and machine learning techniques. In physics education research (PER), this increased focus has recently been shown through the 2019 Physical Review…

The purpose of this study is to develop a test to assess students' level of counterintuitiveness in basic electric circuits. Data from four samples were gathered and used to develop and validate the counterintuitive basic electric circuit test (CBECT). The initial version of the CBECT was administered to the first sample and data collected from…

This study presents the development and validation of a novel multiple-choice test designed to assess university students' conceptual understanding of electric field, force, and flux. The test of understanding of electric field, force, and flux was constructed based on the results of previous studies using a phenomenographic approach to classify…

The aim of this study was to determine the impact of three different software simulations for studying Ohm's law and connecting resistors on students' academic performance. A total of 168 eighth-grade pupils were divided into three groups. The first group used the software containing the simulation with an already created electrical circuit, an…

Research-based multiple-choice questions implemented in class with peer instruction have been shown to be an effective tool for improving students' engagement and learning outcomes. Moreover, multiple-choice questions that are carefully sequenced to build on each other can be particularly helpful for students to develop a systematic understanding…

Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…

Little research in physics education focuses on graduate student experiences related to structural elements of their programs. This departmental case study examines the impact and perceptions of written qualifying exams (QEs) from a student perspective, following recent research which questions the role and utility of such exams. We conducted…

This research examined articles about models and modelling in the context of science education in Turkey by using content analysis method. Two specific academic databases; one of which was Dergipark, a platform including the academic journals published in Turkey, and Scholar Google were examined in detail so that totally 71 articles on models and…

Teaching physical science has been challenging for educators for quite some time, and with the COVID-19 pandemic, the situation has even worsened which made the adoption of blended learning in the different cycles of education only a matter of time. This paradigm requires nevertheless a certain command when it comes to using some specific tools…

Work, as a concept, is often encountered in daily life, but the meaning of work in physics is closely related to power, force, and energy. Studies made about various concepts and subjects have proved that using words in ways different from their scientific meanings has a negative effect on teaching, and causes conceptual complexities and/or…

Smartphones are no longer just a communication tool, but also a means of information exchange by students. Smartphone may also positively contribute to students' higher order thinking skills (HOTS). This research aimed to determine smartphone usage intensity, students' HOTS level, and the effect of smartphone usage intensity on students' HOTS in…