The Force Concept Inventory (FCI) is one of the research-based assessments established by the physics education research community to measure students' understanding of Newtonian mechanics. Former works have often recorded the notion of gendered mean FCI scores favoring male students notably in the North American (NA) based studies. Nevertheless,…

The Force Concept Inventory (FCI) is a popular multiple-choice instrument used to measure a student's conceptual understanding of Newtonian mechanics. Recently, a network analytic technique called module analysis has been used to identify responses to the FCI and other conceptual instruments that are preferentially selected together by students;…

Examination of my students' individual gains on the Force Concept Inventory (FCI) over the course of several semesters led to the realization that student pretest knowledge on certain key questions appeared to be correlated to enhanced gain during the class. Acting under the hypothesis that early intervention aimed at helping the class perform…

This study investigates pre-service teachers' beliefs about learning physics and explores how beliefs correlate with learning achievement as evidenced by conceptual understanding and grades in a year-long physics course. To investigate beliefs about learning physics, 14 second-year pre-service teachers in a teacher training program in South Korea…

Items that are chained, or blocked, together appear on many of the conceptual assessments utilized for physics education research. However, when items are chained together there is the potential to introduce local dependence between those items, which would violate the assumption of item independence required by classical test theory,…

The study investigated student reaction to the alternative mechanics survey (AMS), a modified force concept inventory, which used automatically marked free-response questions and offered limited feedback to students after their answers had been submitted. Eight participants were observed in completing the AMS, and they were interviewed to gain…

Implementing targeted instructional techniques requires an understanding of the initial alternative world views students possess. These alternative world views can be measured using validated conceptual inventories combined with factor analysis methodologies. Using exploratory factor analysis and network module analysis, Scott and Schumayer and…

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…

Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…

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 Force Concept Inventory is a multiple-choice test and is one of the most popular and most analyzed concept inventories. It is used to investigate student understanding of Newtonian mechanics. A structured approach to data analysis can transform it in a "diagnostic" instrument that can validate inferences about student thinking. In…

As targeted, single-conception curriculum research becomes more prevalent in physics education research (PER), the need for a more sophisticated statistical understanding of the conceptual surveys used becomes apparent. Previously, the factor structure of the Force Concept Inventory (FCI) was examined using exploratory factor analysis (EFA) and…

This study reports an analysis of the Force Concept Inventory (FCI) using item response curves (IRC)--the fraction of students selecting each response to an item as a function of their total score. Three large samples (N = 9606, 4360, and 1439) of calculus-based physics students were analyzed. These were drawn from three land-grant institutions…

Education research has repeatedly shown that active learning in physics is pedagogically more efficient than traditional lecture courses. Widespread application of the active learning is slowed down by the lack of data on the performance of the active learning in widely varying circumstances of different educational systems. We measured the level…

The typical introductory physics lecture requires students to consolidate and assimilate a large quantity of complex information that is often novel to them. This can leave students overwhelmed, slow the pace of their learning, and lower their motivation. We find that carefully designed multimedia summaries in the form of one-minute videos and…