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…

The Mayan city of Chichen Itza is full of legends and mysticism. There, in the temple of Kukulkan, in front of a great pyramid with 91 central staircases, an interesting physical-acoustic phenomenon occurs that has fed mythical stories attributed to the Mayas. When clapping your hands in front of the steps, the echo sounds very different from the…

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 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…

Information and Communication Technology (ICT) implementation in education is a national priority in Bhutan, particularly as it relates to the STEM disciplines. Researchers at Samtse College of Education introduced 19 experienced secondary school mathematics and physics teachers to The Geometers' Sketchpad and GeoGebra in two workshops. At the end…

[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…

The natural sciences, by their very nature, are based on the exploration of the physical world, and digital mobile devices are considered appropriate to support this exploration (Suárez et al., 2018) since they offer the tools that make this investigation more accessible but also ubiquitous (Crompton et al., 2017). Inquiry-based learning is a…

Many researches show that students have difficulties in understanding graphics in kinematics. Some authors argue that we can use different instructional strategies to reduce these difficulties. Based on these studies, we developed and applied a didactic sequence using educational robotics to teach graphic analysis in movements in a dimension with…

The role of ChatGPT and higher-order thinking skills (HOTS) as predictors of physics inquiry among uppersecondary students has yet to be widely explored. Therefore, this research aimed to examine upper-secondary students' role in ChatGPT (convenience and quality (CQ), motivation and engagement (ME), and accuracy and trust (AT)) and HOTS as…

This paper determined the relative effect of animated and non-animated powerpoint (PPT) presentations on students' achievement in physics. A non-equivalent group quasi-experimental research design was adopted for the study, using a sample of 88 senior secondary two students drawn from secondary schools in Nsukka Local Government Area of Enugu…

The present study aimed to examine the factors influencing future physics teachers' decision to accept Information and Communicative Competence (ICC) technologies. This is a quantitative exploratory study that used Partial Least Squares (PLS) based structural equation modeling to analyze the data. A questionnaire survey was administered among…

ARKit is a framework which allows developers to create augmented reality apps for the iPhone and iPad. In a previous study, we had shown that it could be used to detect position in educational physics experiments and emphasized that the ability to provide position data in real-time was one of the prominent features of this newly emerging…

Background: Knowledge of quantum computing is arguably inaccessible to many, with knowledge of the complex mathematics involving a particular barrier to entry, creating difficulty in terms of teaching and inclusive learning for those without a high level of mathematics. Meanwhile, it is increasingly important that the knowledge of quantum…