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Developing critical thinking skills is a common goal of an undergraduate physics curriculum. How do students make sense of evidence and what do they do with it? In this study, we evaluated students' critical thinking behaviors through their…

Physics Education · Physics 2018-09-05 N. G. Holmes , Dhaneesh Kumar , D. A. Bonn

Interdisciplinary PhD programs can be challenging as the vital information needed by students may not be readily available, it is scattered across university's websites, while tacit knowledge can be obtained only by interacting with people.…

Human-Computer Interaction · Computer Science 2024-06-21 Stanislava Gardasevic , Manika Lamba

Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of documents. The measurement of semantics as similarity in patterns…

Computation and Language · Computer Science 2011-02-01 Loet Leydesdorff , Kasper Welbers

Background knowledge is typically needed for successful comprehension of topical and domain specific reading passages, such as in the STEM domain. However, there are few automated measures of student knowledge that can be readily deployed…

Computation and Language · Computer Science 2025-05-27 Michael Flor , Zuowei Wang , Paul Deane , Tenaha O'Reilly

A survey was developed to probe student understanding of quantum mechanics at the beginning of graduate instruction. The survey was administered to 202 physics graduate students enrolled in first-year quantum mechanics courses from seven…

Physics Education · Physics 2016-02-23 Chandralekha Singh

A prerequisite is anything that you need to know or understand first before attempting to learn or understand something new. In the current work, we present a method of finding prerequisite relations between concepts using related…

Machine Learning · Computer Science 2020-11-23 Shivam Pal , Vipul Arora , Pawan Goyal

Researchers have argued against deficit-based explanations of students' troubles with mathematical sense-making, pointing instead to factors such as epistemology: students' beliefs about the nature of knowledge and learning can hinder them…

Physics Education · Physics 2010-03-03 Ayush Gupta , Andrew Elby

We consider the case of a domain expert who wishes to explore the extent to which a particular idea is expressed in a text collection. We propose the task of semantically matching the idea, expressed as a natural language proposition,…

Computation and Language · Computer Science 2018-08-30 Lucy H. Lin , Scott Miles , Noah A. Smith

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 2023-11-14 Dimitrios Gousopoulos

Uncertainty is an important and fundamental concept in physics education. Students are often first exposed to uncertainty in introductory labs, expand their knowledge across lab courses, and then are introduced to quantum mechanical…

Physics Education · Physics 2023-06-30 Andy Schang , Matthew Dew , Emily M. Stump , N. G. Holmes , Gina Passante

Automated methods are becoming increasingly integrated into studies of formative feedback on students' science explanation writing. Most of this work, however, addresses students' responses to short answer questions. We investigate…

Computation and Language · Computer Science 2024-04-19 Mahsa Sheikhi Karizaki , Dana Gnesdilow , Sadhana Puntambekar , Rebecca J. Passonneau

The process of constructing knowledge is typically taught to students by having them reproduce established results (e.g., homework problems). An alternative pedagogical strategy is to illustrate this process using an open problem, such as…

Physics Education · Physics 2024-09-18 F. V. Kowalski

Measurement uncertainty plays a critical role in the process of experimental physics. It is useful to be able to assess student proficiency around the topic to iteratively improve instruction and student learning. For the topic of…

Physics Education · Physics 2023-08-23 Gayle Geschwind , Michael Vignal , H. J. Lewandowski

Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these incremental findings to lay people through visualizations…

Human-Computer Interaction · Computer Science 2022-09-23 Prateek Mantri , Hariharan Subramonyam , Audrey L. Michal , Cindy Xiong

Proficiency with calculating, reporting, and understanding measurement uncertainty is a nationally recognized learning outcome for undergraduate physics lab courses. The Physics Measurement Questionnaire (PMQ) is a research-based assessment…

We conducted an exploratory study in virtual reality to examine if people can discover causal relations in a realistic sensorimotor context and how such learning is represented at different processing levels (conscious-cognitive vs.…

Human-Computer Interaction · Computer Science 2026-01-15 Nikolai Bahr , Christoph Zetzsche , Jaime Maldonado , Kerstin Schill

For human beings, the processing of text streams of unknown size leads generally to problems because e.g. noise must be selected out, information be tested for its relevance or redundancy, and linguistic phenomenon like ambiguity or the…

Computation and Language · Computer Science 2008-10-28 Claudine Brucks , Christoph Schommer

This paper introduces a theory about the role of language in learning physics. The theory is developed in the context of physics students' and physicists' talking and writing about the subject of quantum mechanics. We found that physicists'…

Physics Education · Physics 2009-11-13 David T. Brookes , Eugenia Etkina

Given that observational and numerical climate data are being produced at ever more prodigious rates, increasingly sophisticated and automated analysis techniques have become essential. Deep learning is quickly becoming a standard approach…

Fluid Dynamics · Physics 2017-09-12 A. Rupe , J. P. Crutchfield , K. Kashinath , Prabhat

Information flow provides a natural measure for the causal interaction between dynamical events. This study extends our previous rigorous formalism of componentwise information flow to the bulk information flow between two complex…

Neurons and Cognition · Quantitative Biology 2021-12-30 X. San Liang
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