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Framing affects how students interpret, approach, and accomplish tasks. Little is known, however, about how students frame tasks in physics labs. During the first lab of a sequence designed to teach students about modeling and critical…

Physics Education · Physics 2019-06-28 Emily M. Smith , Martin M. Stein , N. G. Holmes

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

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

We build on theoretical foundations of tool-mediated learning, tool design, and human computer interaction to develop a framework for implicit scaffolding in learning environments. Implicit scaffolding employs affordances, constraints,…

Physics Education · Physics 2014-01-24 Noah S. Podolefsky , Emily B. Moore , Katherine K. Perkins

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…

Authentic research as a method of teaching science is gaining popularity in high schools and colleges. To make this research experience most efficient, students need adequate preparation in traditional science courses. Existing materials…

Physics Education · Physics 2018-08-10 Roxanne P. Spencer , Sergey V. Samsonau

Instructors in introductory physics courses often use labs and demonstrations to reinforce that the physics equations introduced in lectures and textbooks describe what actually happens in the real world. The surface features and…

Physics Education · Physics 2019-06-03 Emily M. Smith , N. G. Holmes

In this paper, we study the problem of deceptive reinforcement learning to preserve the privacy of a reward function. Reinforcement learning is the problem of finding a behaviour policy based on rewards received from exploratory behaviour.…

Machine Learning · Computer Science 2021-02-08 Zhengshang Liu , Yue Yang , Tim Miller , Peta Masters

The objectives of physics laboratory courses include fostering conceptual understanding and development of several important cognitive, psycho-motor, attitudinal and affective abilities. In most of the Indian colleges and universities (and…

Physics Education · Physics 2013-11-26 Rajesh B. Khaparde

When we teach physics to prospective scientists and engineers we are teaching more than the "facts" of physics - more, even, than the methods and concepts of physics. We are introducing them to a complex culture - a mode of thinking and the…

Physics Education · Physics 2015-05-19 Edward F. Redish

Laboratory based courses play a critical role in scientific education. Automation is changing the nature of the laboratories, and there is a long running debate about the value of hands on versus simulated and remote laboratories. The…

Computers and Society · Computer Science 2009-12-07 Yasser . H. Elawady , A. S. Tolba

We tested the effectiveness on learning of hands-on, night-time laboratories that challenged student misconceptions in a non-major introductory astronomy class at Rensselaer Polytechnic Institute. We present a new assessment examination…

As language models become more powerful and sophisticated, it is crucial that they remain trustworthy and reliable. There is concerning preliminary evidence that models may attempt to deceive or keep secrets from their operators. To explore…

Machine Learning · Computer Science 2025-05-21 Bartosz Cywiński , Emil Ryd , Senthooran Rajamanoharan , Neel Nanda

A prominent technique for self-supervised representation learning has been to contrast semantically similar and dissimilar pairs of samples. Without access to labels, dissimilar (negative) points are typically taken to be randomly sampled…

Machine Learning · Computer Science 2020-10-22 Ching-Yao Chuang , Joshua Robinson , Lin Yen-Chen , Antonio Torralba , Stefanie Jegelka

Modern machine learning models are opaque, and as a result there is a burgeoning academic subfield on methods that explain these models' behavior. However, what is the precise goal of providing such explanations, and how can we demonstrate…

Machine Learning · Computer Science 2022-12-01 Patrick Fernandes , Marcos Treviso , Danish Pruthi , André F. T. Martins , Graham Neubig

The main task of an introductory laboratory course is to foster students' manual, conceptual and statistical ability to investigate physical phenomena. Needing very simple apparatus, pendulum experiments are an ideal starting point in our…

Physics Education · Physics 2009-01-09 Ilario Boscolo , Leonardo Gariboldi , Ruth Loewenstein

Privacy-preserving deep learning is crucial for deploying deep neural network based solutions, especially when the model works on data that contains sensitive information. Most privacy-preserving methods lead to undesirable performance…

Cryptography and Security · Computer Science 2019-09-19 Lichao Sun , Yingbo Zhou , Ji Wang , Jia Li , Richard Sochar , Philip S. Yu , Caiming Xiong

The chapter supports educators and postgraduate students in understanding the role of simulation in software engineering research based on the authors' experience. This way, it includes a background positioning simulation-based studies in…

Software Engineering · Computer Science 2025-01-10 Breno Bernard Nicolau de França , Dietmar Pfahl , Valdemar Vicente Graciano Neto , Nauman bin Ali

The aim of this study is to investigate the decisions and reasoning of undergraduate students when choosing simple measurement instruments in an introductory physics laboratory course. For this study, we have developed a questionnaire and…

Physics Education · Physics 2026-03-18 Micol Alemani , Karel Kok , Eva Philippaki

Machine teaching often involves the creation of an optimal (typically minimal) dataset to help a model (referred to as the `student') achieve specific goals given by a teacher. While abundant in the continuous domain, the studies on the…

Machine Learning · Computer Science 2024-02-01 Xiaodong Wu , Yufei Han , Hayssam Dahrouj , Jianbing Ni , Zhenwen Liang , Xiangliang Zhang
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