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The ability to develop, use, and refine models of experimental systems is a nationally recognized learning outcome for undergraduate physics lab courses. However, no assessments of students' model-based reasoning exist for upper-division…

Implementing a laboratory activity involves a complex interplay among learning goals, available resources, feedback about the existing course, best practices for teaching, and an overall philosophy about teaching labs. Building on our…

Physics Education · Physics 2015-06-12 Benjamin M. Zwickl , Noah Finkelstein , H. J. Lewandowski

Models of physical systems are used to explain and predict experimental results and observations. The Modeling Framework for Experimental Physics describes the process by which physicists revise their models to account for the newly…

Physics Education · Physics 2019-07-05 Laura Ríos , Benjamin Pollard , Dimitri R. Dounas-Frazer , H. J. Lewandowski

We have designed an introductory laboratory course that engaged first-year undergraduate students in two complementary types of iteration: (1) iterative improvement of experiments through cycles of modeling systems, designing experiments,…

We demonstrate how students' use of modeling can be examined and assessed using student notebooks collected from an upper-division electronics lab course. The use of models is a ubiquitous practice in undergraduate physics education, but…

Physics Education · Physics 2017-02-15 Jacob T. Stanley , Weifeng Su , H. J. Lewandowski

We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in upper-division physics labs. Constructing and using models are core scientific practices that have gained significant…

Physics Education · Physics 2015-10-28 Benjamin M. Zwickl , Dehui Hu , Noah Finkelstein , H. J. Lewandowski

Laboratory courses for upper-division undergraduates often involve sophisticated equipment, relatively small class sizes, and extended hands-on projects. These courses present distinct challenges and opportunities for the physics education…

Physics Education · Physics 2014-07-15 Benjamin Pollard , Noah Finkelstein , H. J. Lewandowski

As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a…

Robotics · Computer Science 2018-11-19 Takayuki Osa , Joni Pajarinen , Gerhard Neumann , J. Andrew Bagnell , Pieter Abbeel , Jan Peters

Experimental activities are an essential part of physics education. In addition to conveying scientific knowledge, they play a significant role in developing scientific literacy, inquiry skills, and critical thinking. In today's world,…

Physics Education · Physics 2025-12-10 Miriam Spodniaková Pfefferová , Martin Plesch

Background: Software modelling is a creative yet challenging task. Modellers often find themselves lost in the process, from understanding the modelling problem to solving it with proper modelling strategies and modelling tools. Students…

Software Engineering · Computer Science 2024-09-23 Shalini Chakraborty , Javier Troya , Lola Burgueño , Grischa Liebel

Process models depict crucial artifacts for organizations regarding documentation, communication, and collaboration. The proper comprehension of such models is essential for an effective application. An important aspect in process model…

Human-Computer Interaction · Computer Science 2021-12-01 Michael Winter , Heiko Neumann , Rüdiger Pryss , Thomas Probst , Manfred Reichert

A thoughtful approach to designing and improving labs, particularly at the advanced level, is critical for the effective preparation of physics majors for professional work in industry or graduate school. With that in mind, physics…

Physics Education · Physics 2013-01-21 Benjamin M. Zwickl , Noah Finkelstein , H. J. Lewandowski

We present a study of active learning pedagogies in an upper division physics course. This work was guided by the principle of deliberate practice for the development of expertise, and this principle was used in the design of the materials…

Physics Education · Physics 2015-10-28 David J. Jones , Kirk W. Madison , Carl E. Wieman

Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it. This learning approach offers a compromise between the time it takes to learn a new task and the effort…

Machine Learning · Computer Science 2024-07-31 Nathan Gavenski , Felipe Meneguzzi , Michael Luck , Odinaldo Rodrigues

Optics is an important subfield of physics required for instrument design and used in a variety of other disciplines, including materials science, physics, and life sciences such as developmental biology and cell biology. It is important to…

The ability to construct, use, and revise models is a crucial experimental physics skill. Many existing frameworks describe modeling in science education at introductory levels. However, most have limited applicability to the context of…

Physics Education · Physics 2018-10-22 Dimitri R. Dounas-Frazer , H. J. Lewandowski

We investigate students' sense of ownership of multiweek final projects in an upper-division optics lab course. Using a multiple case study approach, we describe three student projects in detail. Within-case analyses focused on identifying…

Physics Education · Physics 2017-12-13 Dimitri R. Dounas-Frazer , Jacob T. Stanley , H. J. Lewandowski

We redesigned an advanced physics laboratory course to include a project component. The intention was to address learning outcomes such as modeling, design of experiments, teamwork, and developing technical skills in using apparatus and…

Physics Education · Physics 2022-07-06 Bei Cai , Lindsay Mainhood , Robert G. Knobel

In this work, we present three experiences developed with 3D printing technology for teaching in Optics. These activities were planned, designed, and implemented to go deeper into knowledge about light polarization, reflection and…

Imitation Learning is a sequential task where the learner tries to mimic an expert's action in order to achieve the best performance. Several algorithms have been proposed recently for this task. In this project, we aim at proposing a wide…

Machine Learning · Statistics 2018-01-22 Alexandre Attia , Sharone Dayan
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