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We present an investigation of game-like simulations for physics teaching. We report on the effectiveness of the interactive simulation "Real Time Relativity" for learning special relativity. We argue that the simulation not only enhances…

Physics Education · Physics 2010-08-19 C. M. Savage , D. McGrath , T. J. McIntyre , M. Wegener , M. Williamson

The outbreak of COVID-19 forced schools to swiftly transition from in-person classes to online or remote offerings, making educators and learners alike rely on online videoconferencing platforms. Platforms like Zoom offer audio-visual…

Human-Computer Interaction · Computer Science 2023-01-23 Yanting Wu , Yuan Sun , S. Shyam Sundar

The COVID-19 pandemic has significantly affected the education system worldwide that was responding with a sudden shift to distance learning. Various physics courses such as lectures, tutorials, and the laboratories had to be transferred…

We propose a method to learn image representations from uncurated videos. We combine a supervised loss from off-the-shelf object detectors and self-supervised losses which naturally arise from the video-shot-frame-object hierarchy present…

Computer Vision and Pattern Recognition · Computer Science 2021-02-10 Rob Romijnders , Aravindh Mahendran , Michael Tschannen , Josip Djolonga , Marvin Ritter , Neil Houlsby , Mario Lucic

In a companion paper, we discuss students' ability to take advantage of what they learn from a solved problem and transfer their learning to solve a quiz problem that has different surface features but the same underlying physics…

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

In this companion paper, we explore the use of isomorphic problem pairs (IPPs) to assess introductory physics students' ability to solve and successfully transfer problem-solving knowledge from one context to another in mechanics. We call…

Physics Education · Physics 2016-02-25 Chandralekha Singh

The commencement of the decade brought along with it a grave pandemic and in response the movement of education forums predominantly into the online world. With a surge in the usage of online video conferencing platforms and tools to better…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Praneeta Immadisetty , Pooja Rajesh , Akshita Gupta , Anala M R , Soumya A , K. N. Subramanya

Effectiveness of teaching digital signal processing can be enhanced by reducing lecture time devoted to theory, and increasing emphasis on applications, programming aspects, visualization and intuitive understanding. An integrated approach…

Signal Processing · Electrical Eng. & Systems 2021-05-18 Keshab K. Parhi

Teachers in conventional classrooms often ask learners to express themselves and show their thought processes by speaking out loud, drawing on a whiteboard, or even using physical objects. Despite the pedagogical value of such activities,…

Computers and Society · Computer Science 2015-07-07 Juho Kim , Elena L. Glassman , Andrés Monroy-Hernández , Meredith Ringel Morris

Effective physics learning, especially in complex topics, requires balancing mathematical formalism with conceptual understanding. Conceptual problem-solving involves connecting math to physical reality, and using an epistemological…

Physics Education · Physics 2025-11-24 Matteo Tuveri , Andrea Pierfrancesco Sanna , Mariano Cadoni

"Self-diagnosis tasks" aim at fostering diagnostic behavior by explicitly requiring students to present diagnosis as part of the activity of reviewing their problem solutions. The recitation classes in an introductory physics class (~200…

Physics Education · Physics 2016-03-23 Edit Yerushalmi , Andrew Mason , Elisheva Cohen , Chandralekha Singh

We present an approach to evaluate the efficacy of annotations in augmenting learning environments in the context of Virtual Reality. Our study extends previous work highlighting the benefits of learning based in virtual reality and…

Human-Computer Interaction · Computer Science 2025-02-24 Maximilian Enderling , Jan Hombeck , Kai Lawonn

In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can improve performance on future tasks, their…

How much does having visual priors about the world (e.g. the fact that the world is 3D) assist in learning to perform downstream motor tasks (e.g. delivering a package)? We study this question by integrating a generic perceptual skill set…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 Alexander Sax , Bradley Emi , Amir R. Zamir , Leonidas Guibas , Silvio Savarese , Jitendra Malik

The widespread use of generative AI has led to multiple applications of AI-generated text and media to potentially enhance learning outcomes. However, there are a limited number of well-designed experimental studies investigating the impact…

Human-Computer Interaction · Computer Science 2024-12-17 Zoe Ruo-Yu Li , Caswell Barry , Mutlu Cukurova

The purpose of this work is to explore a teaching methodology aimed at communicating topics and subjects not typically studied and analyzed in the (Italian) secondary school. We focused specifically on the use of videogames as a…

Physics Education · Physics 2026-01-15 Alessio Focardi , Franco Bagnoli , Andrea Guazzini , Giorgio Gronchi

Evidence is mounting that Convolutional Networks (ConvNets) are the most effective representation learning method for visual recognition tasks. In the common scenario, a ConvNet is trained on a large labeled dataset (source) and the…

Computer Vision and Pattern Recognition · Computer Science 2015-07-16 Hossein Azizpour , Ali Sharif Razavian , Josephine Sullivan , Atsuto Maki , Stefan Carlsson

Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST…

Other Statistics · Statistics 2017-12-05 Matthew D. Beckman , Robert C. delMas , Joan Garfield

People use videos to learn new recipes, exercises, and crafts. Such videos remain difficult for blind and low vision (BLV) people to follow as they rely on visual comparison. Our observations of visual rehabilitation therapists (VRTs)…

Human-Computer Interaction · Computer Science 2025-07-28 Mina Huh , Zihui Xue , Ujjaini Das , Kumar Ashutosh , Kristen Grauman , Amy Pavel

Despite the increasing popularity of massive open online courses (MOOCs), many suffer from high dropout and low success rates. Early prediction of student success for targeted intervention is therefore essential to ensure no student is left…

Computers and Society · Computer Science 2022-05-03 Vinitra Swamy , Mirko Marras , Tanja Käser
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