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Puzzle-based training is a common type of hands-on activity accompanying formal and informal cybersecurity education, much like programming or other IT skills. However, there is a lack of tools to help the educators with the post-training…

Human-Computer Interaction · Computer Science 2021-09-29 Karolína Dočkalová Burská , Vít Rusňák , Radek Ošlejšek

Physics lab courses permanently undergo transformations, in recent times especially to adapt to the emergence of new digital technologies and the Covid-19 pandemic in which digital technologies facilitated distance learning. Since these…

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

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

Tabular data is one of the most common data sources in machine learning. Although a wide range of classical methods demonstrate practical utilities in this field, deep learning methods on tabular data are becoming promising alternatives due…

Machine Learning · Computer Science 2024-07-08 Si-Yang Liu , Hao-Run Cai , Qi-Le Zhou , Han-Jia Ye

We present a lightweight annotation tool, the Data AnnotatoR Tool (DART), for the general task of labeling structured data with textual descriptions. The tool is implemented as an interactive application that reduces human efforts in…

Computation and Language · Computer Science 2020-12-02 Ernie Chang , Jeriah Caplinger , Alex Marin , Xiaoyu Shen , Vera Demberg

Scientific laboratories are among the most challenging course components to integrate into online instruction. Available technology restricts the design and nature of experiments and it can be hard to replicate the collaborative lab…

Physics Education · Physics 2021-05-19 Louis Leblond , Melissa Hicks

Statistics students need to develop the capacity to make sense of the staggering amount of information collected in our increasingly data-centered world. Data science is an important part of modern statistics, but our introductory and…

Computation · Statistics 2014-01-15 Nicholas J Horton , Benjamin S Baumer , Hadley Wickham

Multi-physics simulations play a crucial role in understanding complex systems. However, their computational demands are often prohibitive due to high dimensionality and complex interactions, such that actual calculations often rely on…

Computational Physics · Physics 2024-02-27 Stefan Meinecke , Malte Selig , Felix Köster , Andreas Knorr , Kathy Lüdge

While deep learning (DL) is data-hungry and usually relies on extensive labeled data to deliver good performance, Active Learning (AL) reduces labeling costs by selecting a small proportion of samples from unlabeled data for labeling and…

Machine Learning · Computer Science 2022-07-20 Xueying Zhan , Qingzhong Wang , Kuan-hao Huang , Haoyi Xiong , Dejing Dou , Antoni B. Chan

A series of tutorials, assessments, and instructor guides are presented as a complete package for an upper-level undergraduate, or lower-level graduate, laboratory-based course, or extended new-student seminar. The purpose of this package…

Physics Education · Physics 2024-04-26 Glen D. Gillen

In physics education research, instructors and researchers often use research-based assessments (RBAs) to assess students' skills and knowledge. In this paper, we support the development of a mechanics cognitive diagnostic to test and…

The University of Maryland Physics Education Research Group (UMd-PERG) carried out a five-year research project to rethink, observe, and reform introductory algebra-based (college) physics. This class is one of the Maryland Physics…

Physics Education · Physics 2015-05-13 Edward F. Redish , David Hammer

The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management,…

High Energy Physics - Experiment · Physics 2025-07-17 ATLAS Collaboration

Laboratory courses are key components of most undergraduate physics programs. Lab courses often aim to achieve the following learning outcomes: developing students' experimental skills, engaging students in authentic scientific practices,…

Physics Education · Physics 2022-07-06 Benjamin Pollard , H. J. Lewandowski

The ability to synthesize information has emerged as a critical skill for success across various fields. However, within the field of education, there is a lack of systematic understanding and well-defined design infrastructures that…

Human-Computer Interaction · Computer Science 2023-07-12 Xinran Zhu , Hong Shui , Bodong Chen

These notes were compiled as lecture notes for a course developed and taught at the University of the Southern California. They should be accessible to a typical engineering graduate student with a strong background in Applied Mathematics.…

Machine Learning · Computer Science 2023-01-04 Deep Ray , Orazio Pinti , Assad A. Oberai

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 introduce an algebra of data linkages. Data linkages are intended for modelling the states of computations in which dynamic data structures are involved. We present a simple model of computation in which states of computations are…

Logic in Computer Science · Computer Science 2013-11-18 J. A. Bergstra , C. A. Middelburg

Auxiliary tasks facilitate learning in situations where data is scarce or the principal task of interest is extremely complex. This idea is primarily inspired by the improved generalization capability induced by solving multiple tasks…

Machine Learning · Computer Science 2025-07-28 Geri Skenderi , Luigi Capogrosso , Andrea Toaiari , Matteo Denitto , Franco Fummi , Simone Melzi