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Several researches in psychology and science of education affirm the impact of learning style on the learning process and encourage its taking into account in the teaching strategies in order to facilitate the task for learners and improve…

Computers and Society · Computer Science 2014-07-24 Ahmed Bouchboua , Rabah Ouremchi , Fayçal Messaoudi , Mohammed El Ghazi

Traditional data presentations typically separate the presenter and visualization into two separate spaces--the 3D world and a 2D screen--enforcing visualization-centric stories. To create a more human-centric viewing experience, we…

Human-Computer Interaction · Computer Science 2025-05-07 Ji Won Chung , Tongyu Zhou , Ivy Chen , Kevin Hsu , Ryan A. Rossi , Alexa Siu , Shunan Guo , Franck Dernoncourt , James Tompkin , Jeff Huang

Graph representation learning is to learn universal node representations that preserve both node attributes and structural information. The derived node representations can be used to serve various downstream tasks, such as node…

Machine Learning · Computer Science 2020-11-16 Yuxiang Ren , Bo Liu , Chao Huang , Peng Dai , Liefeng Bo , Jiawei Zhang

Active learning comprises many varied techniques that engage students actively in the construction of their understanding. Because of this variation, different active learning techniques may be best suited to achieving different learning…

General Economics · Economics 2025-08-11 Sarah A. Jacobson , Luyao Zhang , Jiasheng Zhu

The proliferation of audiovisual and web content has created an increasing need for media accessibility education in various fields. However, accessibility remains a low priority in university curricula. This project explores the…

Human-Computer Interaction · Computer Science 2025-08-12 Alina Karakanta

Text-to-Video (T2V) retrieval aims to identify the most relevant item from a gallery of videos based on a user's text query. Traditional methods rely solely on aligning video and text modalities to compute the similarity and retrieve…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Adriano Fragomeni , Dima Damen , Michael Wray

Knowledge workers, such as scientists, journalists, or consultants, adaptively seek, gather, and consume information. These processes are often inefficient as existing user interfaces provide limited possibilities to combine information…

Human-Computer Interaction · Computer Science 2019-09-04 Sebastian Sippl , Michael Sedlmair , Manuela Waldner

Cartograms are map-based data visualizations in which the area of each map region is proportional to an associated numeric data value (e.g., population or gross domestic product). A cartogram is called contiguous if it conforms to this area…

Human-Computer Interaction · Computer Science 2022-07-06 Ian K. Duncan , Shi Tingsheng , Simon T. Perrault , Michael T. Gastner

The use of new technologies in higher education has surprisingly emphasized students' tendency to adopt a passive behavior in class. Participation and interaction of students are essential to improve academic results. This paper describes…

Classically, affordance research investigates how the shape of objects communicates actions to potential users. Cognitive affordances, a subset of this research, characterize how the design of objects influences cognitive actions, such as…

Human-Computer Interaction · Computer Science 2026-01-15 Racquel Fygenson , Lace Padilla , Enrico Bertini

This article reports on a case study on teachers' video-enhanced education. Considering the fact that video exemplification is a thriving practice in the field although there is little consensus in the literature regarding its instructional…

Computers and Society · Computer Science 2016-10-07 Simon Flandin , Marine Auby , Luc Ria

Various graph contrastive learning models have been proposed to improve the performance of learning tasks on graph datasets in recent years. While effective and prevalent, these models are usually carefully customized. In particular,…

Machine Learning · Computer Science 2021-11-01 Dongkuan Xu , Wei Cheng , Dongsheng Luo , Haifeng Chen , Xiang Zhang

This paper investigates the role of text in visualizations, specifically the impact of text position, semantic content, and biased wording. Two empirical studies were conducted based on two tasks (predicting data trends and appraising bias)…

Human-Computer Interaction · Computer Science 2024-01-09 Chase Stokes , Cindy Xiong Bearfield , Marti A. Hearst

Combining data content with visual embellishments, infographics can effectively deliver messages in an engaging and memorable manner. Various authoring tools have been proposed to facilitate the creation of infographics. However, creating a…

Human-Computer Interaction · Computer Science 2019-07-23 Weiwei Cui , Xiaoyu Zhang , Yun Wang , He Huang , Bei Chen , Lei Fang , Haidong Zhang , Jian-Guan Lou , Dongmei Zhang

Understanding what is communicated by data visualizations is a critical component of scientific literacy in the modern era. However, it remains unclear why some tasks involving data visualizations are more difficult than others. Here we…

Human-Computer Interaction · Computer Science 2025-05-14 Arnav Verma , Judith E. Fan

Learning to use math in physics involves combining (blending) our everyday experiences and the conceptual ideas of physics with symbolic mathematical representations. Graphs are one of the best ways to learn to build the blend. They are a…

Physics Education · Physics 2023-03-20 Edward F. Redish

Visual affordance learning is crucial for robots to understand and interact effectively with the physical world. Recent advances in this field attempt to leverage pre-trained knowledge of vision-language foundation models to learn…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Qian Zhang , Lin Zhang , Xing Fang , Mingxin Zhang , Zhiyuan Wei , Ran Song , Wei Zhang

The goal of this paper is to investigate the importance of providing visual "big pictures" in the teaching of economics. The plurality and variety of concepts, variables, diagrams, and models involved in economics can be a source of…

Economics · Quantitative Finance 2016-01-11 Seyyed Ali Zeytoon Nejad Moosavian

An expeditious development of graph learning in recent years has found innumerable applications in several diversified fields. Of the main associated challenges are the volume and complexity of graph data. The graph learning models suffer…

Machine Learning · Computer Science 2022-10-21 Ciyuan Peng , Feng Xia , Vidya Saikrishna , Huan Liu

The presentation of results from Systematic Literature Reviews (SLRs) is generally done using tables. Prior research suggests that results summarized in tables are often difficult for readers to understand. One alternative to improve…

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