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Constraint inference is widely considered essential to align reinforcement learning agents with safety boundaries and operational guidelines by observing expert demonstrations. However, existing approaches typically assume homogeneous…

Artificial Intelligence · Computer Science 2026-05-11 Syed Ihtesham Hussain Shah , Floris den Hengst , Aneta Lisowska , Annette ten Teije

The Conceptual Survey of Electricity and Magnetism (CSEM) is a multiple-choice survey that contains a variety of electricity and magnetism concepts from Coulomb's law to Faraday's law at the level of introductory physics used to help inform…

Physics Education · Physics 2023-11-30 Alexandru Maries , Mary Jane Brundage , Chandralekha Singh

Research on the test structure of the Force Concept Inventory (FCI) has largely been performed with exploratory methods such as factor analysis and cluster analysis. Multi-Dimensional Item Response Theory (MIRT) provides an alternative to…

Physics Education · Physics 2018-06-20 John Stewart , Cabot Zabriskie , Seth DeVore , Gay Stewart

Many prior studies have found a gender gap between male and female students' performance on conceptual assessments such as the Force Concept Inventory (FCI) and the Conceptual Survey of Electricity and Magnetism (CSEM) with male students…

Physics Education · Physics 2020-07-07 Alexandru Maries , Nafis I Karim , Chandralekha Singh

Introductory physics labs can be designed and studied using the Communities of Practice framework, where a group of members pursues a common set of goals by learning and implementing a set of practices. Studies of student preferences and…

Physics Education · Physics 2025-07-29 W. Brian Lane , Charlotte Dries , Gabriella Khazal , Tiffany Snow

We present EDGE, a general-purpose, misconception-aware adaptive learning framework composed of four stages: Evaluate (ability and state estimation), Diagnose (posterior infer-ence of misconceptions), Generate (counterfactual item…

Machine Learning · Computer Science 2025-08-12 Ananda Prakash Verma

Analyzing students' written solutions to physics questions is a major area in PER. However, gauging student understanding in college courses is bottlenecked by large class sizes, which limits assessments to a multiple-choice (MC) format for…

Physics Education · Physics 2026-05-11 Sean Savage , N. Sanjay Rebello

A large body of research shows that using interactive engagement pedagogy in the introductory physics classroom consistently results in significant student learning gains; however, with a few exceptions, those learning gains tend not to be…

Physics Education · Physics 2021-01-15 Alma Robinson , John H. Simonetti , Kasey Richardson , Megan Wawro

Students often begin physics courses with misconceptions rooted in everyday experience and intuition, which can be resistant to change. While research has identified strategies for addressing misconceptions across physics, it remains…

Physics Education · Physics 2025-03-24 Shayan Majidy

This study investigates differences in student responses to in-class and online administrations of the Force Concept Inventory (FCI), Conceptual Survey of Electricity and Magnetism (CSEM), and the Colorado Learning Attitudes about Science…

Physics Education · Physics 2018-12-06 Manher Jariwala , Jada-Simone S. White , Ben Van Dusen , Eleanor W. Close

Developing a sense of community among students is one of the three pillars of an overall reform effort to increase participation in physics, and the sciences more broadly, at Florida International University. The emergence of a research and…

Physics Education · Physics 2012-07-19 Eric Brewe , Laird H. Kramer , Vashti Sawtelle

Community detection plays a crucial role in understanding the structural organization of complex networks. Previous methods, particularly those from statistical physics, primarily focus on the analysis of mesoscopic network structures and…

Social and Information Networks · Computer Science 2025-04-21 Yijun Ran , Junfan Yi , Wei Si , Michael Small , Ke-ke Shang

A partially unusual behaviour was found among 14 sophomore students of civil engineering who took a pre test for a free fall laboratory session, in the context of a general mechanics course. An analysis contemplating mathematics models and…

Physics Education · Physics 2014-05-14 Alicia M. Montecinos

An important, yet largely unstudied, problem in student data analysis is to detect misconceptions from students' responses to open-response questions. Misconception detection enables instructors to deliver more targeted feedback on the…

Machine Learning · Statistics 2017-03-31 Joshua J. Michalenko , Andrew S. Lan , Richard G. Baraniuk

We consider the problem of learning causal structures in sparse high-dimensional settings that may be subject to the presence of (potentially many) unmeasured confounders, as well as selection bias. Based on the structure found in common…

Methodology · Statistics 2021-10-04 Wenyu Chen , Mathias Drton , Ali Shojaie

The Maryland Physics Expectations Survey (MPEX) describes student attitudes and expectations toward learning, and might be used to predict normalized gains on tests such as the Force and Motion Concept Evaluation (FMCE). These predictions…

Physics Education · Physics 2007-05-23 Michael C. Wittmann

Instruction is unlikely to be effective if instructors do not know the common alternate conceptions of introductory physics students and explicitly take into account common student difficulties in their instructional design. Here, we…

Physics Education · Physics 2020-06-29 Nafis I Karim , Alexandru Maries , Chandralekha Singh

Physics curricula across the US fail to prepare students adequately to solve problems, especially novel problems. A new curriculum, Matter and Interactions (M&I), was designed to improve student learning by organizing concepts around…

We present results of a combined study from three UK universities where we investigate the existence and persistence of a performance gender gap in conceptual understanding of Newtonian mechanics. Using the Force Concept Inventory, we find…

Physics Education · Physics 2015-06-12 Simon Bates , Robyn Donnelly , Cait MacPhee , David Sands , Marion Birch , Niels R. Walet

Performing inference on data obtained through observational studies is becoming extremely relevant due to the widespread availability of data in fields such as healthcare, education, retail, etc. Furthermore, this data is accrued from…

Machine Learning · Computer Science 2021-02-18 Ankit Sharma , Garima Gupta , Ranjitha Prasad , Arnab Chatterjee , Lovekesh Vig , Gautam Shroff