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Developing expertise in physics requires appropriate integration and assimilation of physics and mathematics. Instructors and students often describe physics courses in terms of their emphasis on conceptual and quantitative problem-solving.…

Physics Education · Physics 2025-12-11 Apekshya Ghimire , Chandralekha Singh

Tasks where the set of possible actions depend discontinuously on the state pose a significant challenge for current reinforcement learning algorithms. For example, a locked door must be first unlocked, and then the handle turned before the…

Robotics · Computer Science 2023-03-09 Mrinal Verghese , Chris Atkeson

Learning underlies nearly all human behavior and is central to education and education reform. Although recent advances in neuroscience have revealed the fundamental structure of learning processes, these insights have yet to be integrated…

Information Theory · Computer Science 2025-10-20 Scott E. Allen , A. David Redish , René F. Kizilcec

The ability to make decisions based on data, with its inherent uncertainties and variability, is a complex and vital skill in the modern world. The need for such quantitative critical thinking occurs in many different contexts, and while it…

Physics Education · Physics 2015-08-21 N. G. Holmes , Carl E. Wieman , D. A. Bonn

Working memory, or the ability to hold and manipulate information in the mind, is a critical component of human intelligence and executive functioning. It is correlated with performance on various cognitive tasks, including measures of…

Computation and Language · Computer Science 2025-12-01 Karin de Langis , Jong Inn Park , Bin Hu , Khanh Chi Le , Andreas Schramm , Michael C. Mensink , Andrew Elfenbein , Dongyeop Kang

In recent years there has been growing evidence that even after teaching designed to address the learning difficulties dictated by literature, many physics learners fail to create the proper reasoning chains that connect the fundamental…

Physics Education · Physics 2024-02-09 Dimitrios Gousopoulos

The mindset literature is a longstanding area of psychological research focused on beliefs about intelligence, response to challenge, and goals for learning (Dweck, 2000). However, the mindset literature's applicability to the context of…

Physics Education · Physics 2018-07-31 Angela Little , Bridget Humphrey , Abigail Green , Abhilash Nair , Vashti Sawtelle

We argue that most advances in science and technology during the past and the present centuries rely on modern physics concepts developed in the early $20$th century. The reliance is so profound that any improvement of literacy of science…

Physics Education · Physics 2022-08-17 Yousef Bisabr

Between 1984 and 2011, the percentage of US bachelor degrees awarded in physics declined by 25%, in chemistry declined by 33%, and overall in physical sciences and engineering fell 40%. Data suggest that these declines are correlated to a…

Physics Education · Physics 2016-09-28 JudithAnn R. Hartman , Eric A. Nelson

A primary goal of physics is to create mathematical models that allow both predictions and explanations of physical phenomena. We weave maths extensively into our physics instruction beginning in high school, and the level and complexity of…

Physics Education · Physics 2016-04-12 Edward F. Redish

Mathematics is an essential element of physics problem solving, but experts often fail to appreciate exactly how they use it. Math may be the language of science, but math-in-physics is a distinct dialect of that language. Physicists tend…

Physics Education · Physics 2007-05-23 Edward F. Redish

Even if students can make the blend, interpret physics correctly in mathematical symbology and graphs, they still need to be able to apply that knowledge in productive and coherent ways. As instructors, we can show our solutions to complex…

Physics Education · Physics 2023-05-23 Edward F. Redish

The ability to learn different tasks sequentially is essential to the development of artificial intelligence. In general, neural networks lack this capability, the major obstacle being catastrophic forgetting. It occurs when the…

Machine Learning · Computer Science 2021-10-22 Kaustubh Olpadkar , Ekta Gavas

Brain science and artificial intelligence have made great progress toward the understanding and engineering of the human mind. The progress has accelerated significantly since the turn of the century thanks to new methods for probing the…

Neurons and Cognition · Quantitative Biology 2021-07-29 Yoonsuck Choe

Identifying the relevant physics principles is a central component of problem solving. A major goal of most introductory physics courses is to help students discern the deep similarities between problems based upon the physics principles so…

Physics Education · Physics 2016-02-23 Shih-Yin Lin , Chandralekha Singh

Humans can continuously learn new knowledge. However, machine learning models suffer from drastic dropping in performance on previous tasks after learning new tasks. Cognitive science points out that the competition of similar knowledge is…

Computer Vision and Pattern Recognition · Computer Science 2022-11-01 Runqi Wang , Yuxiang Bao , Baochang Zhang , Jianzhuang Liu , Wentao Zhu , Guodong Guo

Artificial intelligence algorithms are capable of fantastic exploits, yet they are still grossly inefficient compared with the brain's ability to learn from few exemplars or solve problems that have not been explicitly defined. What is the…

Neurons and Cognition · Quantitative Biology 2018-10-08 Aurelio Cortese , Benedetto De Martino , Mitsuo Kawato

This is a follow-up tutorial article of [17] and [16], in this paper, we will introduce several important cognitive functions of the brain. Brain cognitive functions are the mental processes that allow us to receive, select, store,…

Neurons and Cognition · Quantitative Biology 2019-07-08 Jiawei Zhang

We describe the development of a course of quantum mechanics for secondary school designed to address the challenges related to the revision of classical knowledge, to the building of a well-organized knowledge structure on the discipline,…

Physics Education · Physics 2024-02-21 Giacomo Zuccarini , Marisa Michelini

Catastrophic forgetting describes the fact that machine learning models will likely forget the knowledge of previously learned tasks after the learning process of a new one. It is a vital problem in the continual learning scenario and…

Machine Learning · Computer Science 2022-05-25 Wenjie Jiang , Zhide Lu , Dong-Ling Deng