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Related papers: Learning Objectives, Insights, and Assessments: Ho…

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Although compelling assessments have been examined in recent years, more studies are required to yield a better understanding of the several methods where assessment techniques significantly affect student learning process. Most of the…

Physics Education · Physics 2017-12-15 Khondkar Islam , Pouyan Ahmadi , Salman Yousaf

With the development of artificial intelligence, personalized learning has attracted much attention as an integral part of intelligent education. In recent years, countries and regions such as China, the United States, and the European…

Computers and Society · Computer Science 2026-01-29 Siyu Wu , Yang Cao , Runze Li , Jiajun Cui , Hong Qian , Bo Jiang , Wei Zhang

Data visualization is a core part of statistical practice and is ubiquitous in many fields. Although there are numerous books on data visualization, instructors in statistics and data science may be unsure how to teach data visualization,…

Other Statistics · Statistics 2025-07-31 Zach Branson , Monica Paz Parra , Ronald Yurko

Interactive visualization can support fluid exploration but is often limited to predetermined tasks. Scripting can support a vast range of queries but may be more cumbersome for free-form exploration. Embedding interactive visualization in…

Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data is uncertain is still an open research challenge. To address the problem of depicting uncertainty in set…

Human-Computer Interaction · Computer Science 2025-01-22 Christian Tominski , Michael Behrisch , Susanne Bleisch , Sara Irina Fabrikant , Eva Mayr , Silvia Miksch , Helen Purchase

Trained on vast corpora, Large Language Models (LLMs) have the potential to encode visualization design knowledge and best practices. However, if they fail to do so, they might provide unreliable visualization recommendations. What…

Human-Computer Interaction · Computer Science 2024-10-22 Huichen Will Wang , Mitchell Gordon , Leilani Battle , Jeffrey Heer

Statisticians are not only one of the earliest professional adopters of data visualization, but also some of its most prolific users. Understanding how these professionals utilize visual representations in their analytic process may shed…

Human-Computer Interaction · Computer Science 2025-11-18 Eric Newburger , Niklas Elmqvist

Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems.…

Human-Computer Interaction · Computer Science 2024-01-12 Aimen Gaba , Zhanna Kaufman , Jason Chueng , Marie Shvakel , Kyle Wm. Hall , Yuriy Brun , Cindy Xiong Bearfield

In [1], we introduced mechanical learning and proposed 2 approaches to mechanical learning. Here, we follow one such approach to well describe the objects and the processes of learning. We discuss 2 kinds of patterns: objective and…

Artificial Intelligence · Computer Science 2017-06-02 Chuyu Xiong

We contribute a first design space on visualizations in motion and the design of a pilot study we plan to run in the fall. Visualizations can be useful in contexts where either the observation is in motion or the whole visualization is…

Human-Computer Interaction · Computer Science 2024-09-12 Lijie Yao , Anastasia Bezerianos , Petra Isenberg

Building on game design and education research, this paper introduces narrative-focused role-playing games as a way to promote visualization literacy in young children. Visualization literacy skills are vital in understanding the world…

Human-Computer Interaction · Computer Science 2020-09-01 Elaine Huynh , Angela Nyhout , Patricia Ganea , Fanny Chevalier

How should forecasters be incentivized to acquire the most information when learning takes place over time? We address this question in the context of a novel dynamic mechanism design problem in which a designer incentivizes an expert to…

Theoretical Economics · Economics 2025-12-23 Yingkai Li , Jonathan Libgober

Representation learning constructs low-dimensional representations to summarize essential features of high-dimensional data. This learning problem is often approached by describing various desiderata associated with learned representations;…

Machine Learning · Statistics 2022-02-14 Yixin Wang , Michael I. Jordan

An empirical study was conducted to analyse design strategies and knowledge used in object-oriented software design. Eight professional programmers experienced with procedural programming languages and either experienced or not experienced…

Human-Computer Interaction · Computer Science 2016-08-16 Françoise Détienne

Supervised learning typically focuses on learning transferable representations from training examples annotated by humans. While rich annotations (like soft labels) carry more information than sparse annotations (like hard labels), they are…

Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating visualizations for users to explore. However, most existing…

Human-Computer Interaction · Computer Science 2021-03-23 Camille Harris , Ryan A. Rossi , Sana Malik , Jane Hoffswell , Fan Du , Tak Yeon Lee , Eunyee Koh , Handong Zhao

Over the last three decades, various didactic proposals have been published in an attempt to connect theory and research findings with the design of Teaching-Learning Sequences (TLS) in various contexts. Many studies have analysed the…

Physics Education · Physics 2024-04-23 Jenaro Guisasola , Kristina Zuza , Jaume Ametller , Paulo Sarriugarte

This paper presents a study aiming to analyse the design strategies of experts in object-oriented programming. We report an experiment conducted with four experts. Each subject solved three problems. Our results show that three strategies…

Human-Computer Interaction · Computer Science 2016-08-14 Sophie Chatel , Françoise Détienne

Data visualizations have been increasingly used in oral presentations to communicate data patterns to the general public. Clear verbal introductions of visualizations to explain how to interpret the visually encoded information are…

Human-Computer Interaction · Computer Science 2021-12-24 Leni Yang , Cindy Xiong , Jason K. Wong , Aoyu Wu , Huamin Qu

Explanations for computer vision models are important tools for interpreting how the underlying models work. However, they are often presented in static formats, which pose challenges for users, including information overload, a gap between…

Human-Computer Interaction · Computer Science 2025-04-16 Indu Panigrahi , Sunnie S. Y. Kim , Amna Liaqat , Rohan Jinturkar , Olga Russakovsky , Ruth Fong , Parastoo Abtahi