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Helping students learn from their own mistakes can help them develop habits of mind while learning physics content. Based upon cognitive apprenticeship model, we asked students to self-diagnose their mistakes and learn from reflecting on…

Physics Education · Physics 2016-03-11 Andrew Mason , Elisheva Cohen , Chandralekha Singh , Edit Yerushalmi

While it is well known which curricular practices can improve student performance on measures of conceptual understanding, the sustaining of these practices and the role of faculty members in implementing these practices are less well…

Physics Education · Physics 2009-11-13 Steven J. Pollock , Noah D. Finkelstein

We use the Survey of Thermodynamic Processes and First and Second Laws-Long (STPFaSL-Long), a research-based survey instrument with 78 items at the level of introductory physics, to investigate introductory and advanced students'…

Physics Education · Physics 2024-08-05 Mary Jane Brundage , David E. Meltzer , Chandralekha Singh

We consider the problem of solving partial differential equations (PDEs) in domains with complex microparticle geometry that is impractical, or intractable, to model explicitly. Drawing inspiration from volume rendering, we propose tackling…

Graphics · Computer Science 2025-06-11 Bailey Miller , Rohan Sawhney , Keenan Crane , Ioannis Gkioulekas

We describe student difficulties in applying the superposition principle in combination with Gauss's law. We addressed these difficulties by developing a tutorial that uses guided inquiry. Students who used this tutorial following…

Physics Education · Physics 2023-08-07 Jing Li , Alexandru Maries , Chandralekha Singh

This study investigated whether and how Learning Assistant (LA) support is linked to student outcomes in Physics courses nationwide. Paired student concept inventory scores were collected over three semesters from 3,753 students,…

Physics Education · Physics 2016-07-27 Jada-Simone S. White , Ben Van Dusen , Edward A. Roualdes

Developing students' ability to troubleshoot is an important learning outcome for many undergraduate physics lab courses, especially electronics courses. In other work, metacognition has been identified as an important feature of…

We discuss the development of interactive video tutorial-based problems to help introductory physics students learn effective problem solving heuristics. The video tutorials present problem solving strategies using concrete examples in an…

Physics Education · Physics 2016-02-26 Chandralekha Singh

Investigations related to expertise in problem solving and ability to transfer learning from one context to another are important for developing strategies to help students perform more expert-like tasks. Here we analyze written responses…

Physics Education · Physics 2016-02-23 Chandralekha Singh

The pole condition approach for deriving transparent boundary conditions is extended to the time-dependent, two-dimensional case. Non-physical modes of the solution are identified by the position of poles of the solution's spatial Laplace…

Numerical Analysis · Mathematics 2015-07-28 Daniel Ruprecht , Achim Schädle , Frank Schmidt

We present the results of an experience of teaching updating dispensed to Italian high-school physics teachers to promote the application of the Cooperative Problem Solving method as an useful strategy to improve physics learning at…

Physics Education · Physics 2020-03-18 Carlo Maria Carbonaro , Alessia Zurru , Viviana Fanti , Matteo Tuveri , Gianluca Usai

Knowledge distillation leverages a teacher model to improve the training of a student model. A persistent challenge is that a better teacher does not always yield a better student, to which a common mitigation is to use additional…

Machine Learning · Computer Science 2024-10-10 Abhishek Panigrahi , Bingbin Liu , Sadhika Malladi , Andrej Risteski , Surbhi Goel

Mastering problem solving requires students to not only understand and apply physics concepts but also employ mathematics and mathematical representations (sketches, diagrams, graphs, gestures, equations and spoken language) skillfully. As…

Physics Education · Physics 2017-10-13 Nandana Weliweriya , Tra Huynh , Eleanor C Sayre

When using boundary integral equation methods, we represent solutions of a linear partial differential equation as layer potentials. It is well-known that the approximation of layer potentials using quadrature rules suffer from poor…

Numerical Analysis · Mathematics 2021-09-24 Camille Carvalho

Introductory programming courses aim to teach students to write code independently. However, transitioning from studying worked examples to generating their own code is often difficult and frustrating for students, especially those with…

Computers and Society · Computer Science 2023-12-01 Xinying Hou , Barbara J. Ericson , Xu Wang

While apprenticeship learning has shown promise for inducing effective pedagogical policies directly from student interactions in e-learning environments, most existing approaches rely on optimal or near-optimal expert demonstrations under…

Machine Learning · Computer Science 2026-04-02 Md Mirajul Islam , Rajesh Debnath , Adittya Soukarjya Saha , Min Chi

Physics instructors need support to successfully adopt and adapt evidence-based active engagement (EBAE) approaches because improving teaching and learning is a process and support is needed to ensure that they do not get disheartened if a…

Physics Education · Physics 2026-03-03 Paul Justice , Emily Marshman , Chandralekha Singh

Standardized assessment tests that allow researchers to compare the performance of students under various curricula are highly desirable. There are several research-based conceptual tests that serve as instruments to assess and identify…

Physics Education · Physics 2021-03-11 Justyna P. Zwolak , Corinne A. Manogue

An appropriate diagram is a required element of a solution building process in physics problem solving and it can transform a given problem into a representation that is easier to exploit for solving the problem. A major focus while helping…

Physics Education · Physics 2020-07-02 Alexandru Maries , Chandralekha Singh

Knowledge distillation (KD) has become a powerful tool for training compact student models using larger, pretrained teacher models, often requiring less data and computational resources. Teacher models typically possess more layers and thus…

Machine Learning · Computer Science 2025-05-05 Edvin Fasth , Sagar Singh