Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…

Difficulties in understanding physics concepts are often experienced by students such as in the material of regular uniform motion. This study aims to describe the mental models of first-year secondary school students on regular straight-line motion. This research utilized a case study method of 167 students at the secondary level with an average…

The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…

This article provides a process to carefully evaluate the suitability of a content domain for which diagnostic classification models (DCMs) could be applicable and then optimized steps for constructing a test blueprint for applying DCMs and a real-life example illustrating this process. The content domains were carefully evaluated using a set of…

Working with approximations is a common practice in physics. This paper presents an exploratory study of student understanding of some of the elementary aspects of approximations encountered in college physics. For this purpose, a questionnaire (a set of 14 multiple-choice questions) was developed to probe how students dealt with these aspects in…

Physics and mathematics represent closely intertwined fields, wherein physicists employ mathematical modeling to address intricate problems. A challenge encountered by physicists involves bridging conceptual understanding with mathematical equations, a task that educators can facilitate by supporting students in navigating these two realms of…

The creation and use of models in science is of great importance for knowledge production and communication. For example, toy models are often used as idealized explanatory models in physics education. Models can be a powerful tool for exploring phenomena in ways that facilitate learning. However, careful consideration of instruction and…

In teaching sciences, models are often used to introduce, elaborate or simplify real-world phenomena or concepts. It is, however, often the case that misconceptions arise from or are facilitated by these teaching models during their transition to mental models of the individual learners. For instance, models are often seen as direct replicas of…

The intricacy of real-world challenges in project-based geoscience learning is complex to assess with a STEM approach; hence, research into an effective model is necessary to address current issues in education. Understanding the role of STEM in resolving challenging real-world issues requires integrating STEM literacy that is appropriate for…

Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

While research on the understanding of physics concepts in individuals with autism remains scarce, the ever-increasing number of these students in inclusive education nowadays makes their systematic education in all fields of learning necessary. For this purpose, an experimental investigation was conducted to compare 19 autistic adolescents with a…

Computer-based analysis of preservice teachers' written reflections could enable educational scholars to design personalized and scalable intervention measures to support reflective writing. Algorithms and technologies in the domain of research related to artificial intelligence have been found to be useful in many tasks related to reflective…

[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] In recent years, physics instructional labs have been under considerable research and development. However, there seems to be no shared understanding of how the assessment of instructional labs should be arranged to best serve students'…

This study aims to develop a structured scaffolding-guided inquiry (SSGI) learning model that is oriented toward nurturing argumentation skills to solve complex problems. Test the effectiveness of the SSGI model in improving students' argumentation skills to solve complex problems. This research is development research that refers to Dick and…

Future teachers face the challenge of whether and how to address their students' misconceptions--naïve concepts that often conflict with the correct scientific concepts taught at school. We developed a short-term digital training intervention on instructional knowledge about strategies for addressing students' misconceptions in physics. It…