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…

This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…

Students experience many difficulties learning the fundamental relationships in Newtonian mechanics, partly due to preexisting mental models that originate from their everyday lives. These preconceptions often persist even after instruction in mechanics and lead to a supposed incompatibility between physics lessons in school and personal…

Teaching alternating currents, ac or sound waves, is incomplete without an introduction to the oscilloscope. An oscilloscope is a tool that graphically displays electrical signals and shows their time dependence. However, due to the pandemic, triggered by the SARS-CoV-2 virus, many students do not have the opportunity to master the use of an…

Contribution: An innovative approach utilizing interactive software paired with stereoscopic projection hardware is introduced to enhance the teaching and learning of solid-state physics. This method is distinctive for its integration of complex 3-D visualizations directly into classroom instruction, facilitating a deeper understanding of abstract…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

This research aims to design immersive virtual reality with cognitive conflict to support practical learning of quantum physics. This type of research is design research through the stages of needs analysis, product design, validity test, and practicality test. The needs analysis used questionnaire sheets distributed with Google Forms and obtained…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

The creation of new knowledge in the form of scientific models is a cornerstone of the process of science. In physics laboratory instruction, students are very often stuck in a confirmatory mindset; they have been conditioned to believe that the role of experimentation in the classroom and in the world is to verify known facts. This mindset is…

The aim of the present work is to demonstrate the expediency of using information technologies on the study of Brownian motion. The importance of using such software as VirtualDub, Tracker and Google Sheets for the study of Brownian motion has been substantiated. This made it possible to determine the values that cannot be measured directly (the…

Given the growing prevalence of computational methods in chemistry, it is essential that undergraduate curricula introduce students to these approaches. One such area is the application of machine learning (ML) techniques to chemistry. Here we describe a new activity that applies ML regression analysis to the common physical chemistry laboratory…

The article introduces a low-cost Arduino sensor into the Young's modulus determination laboratory for physics university students. A stainless steel ruler is used as a cantilever beam. Its free end attached a mass is slightly bent and released to make it oscillate as a simple harmonic motion. The Arduino sensor detects the moving mass's frequency…

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time, especially in large enrollment courses. In this study, we explore using GPT-3.5 to write feedback on students'…

The importance of introducing computational approaches early and actively in science education is widely acknowledged among educators and scientists. Many great ideas have been put forward and implemented by advocates and organizations such as Partnership for Integration of Computation into Undergraduate Physics (https://www.compadre.org/PICUP)…

[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…