Visual and Cognitive Learning Processes
9 papers on this topic
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
People's decision-making abilities often fail to improve or may even erode when they rely on AI for decision-support, even when the AI provides informative explanations. We argue this is partly...
TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding
Understanding domain-specific theorems often requires more than just text-based reasoning; effective communication through structured visual explanations is crucial for deeper comprehension. While...
Mitigating "Epistemic Debt" in Generative AI-Scaffolded Novice Programming using Metacognitive Scripts
The democratization of Large Language Models has given rise to vibe coding, where novice programmers prioritize semantic intent over syntactic implementation. Without pedagogical guardrails, we...
SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
Large Language Models (LLMs) have shown immense potential in education, automating tasks like quiz generation and content summarization. However, generating effective presentation slides...
Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms
Transforming educational technologies through the integration of large language models (LLMs) and virtual reality (VR) offers the potential for immersive and interactive learning experiences....
Exploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments
Metaverse learning environments allow for a seamless and intuitive transition between activities compared to Virtual Reality (VR) learning environments, due to their interconnected design. The...
Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations
Although visualization tools are widely available and accessible, not everyone knows the best practices and guidelines for creating accurate and honest visual representations of data. Numerous...
Effects of data distribution and granularity on color semantics for colormap data visualizations
To create effective data visualizations, it helps to represent data using visual features in intuitive ways. When visualization designs match observer expectations, visualizations are easier to...
Preparing Unprepared Students For Future Learning
Based on strategy-awareness (knowing which problem-solving strategy to use) and time-awareness (knowing when to use it), students are categorized into Rote (neither type of awareness), Dabbler...
Learning to Scaffold: Optimizing Model Explanations for Teaching
Modern machine learning models are opaque, and as a result there is a burgeoning academic subfield on methods that explain these models' behavior. However, what is the precise goal of providing...
Narrative Visualization to Communicate Neurological Diseases
While narrative visualization has been used successfully in various applications to communicate scientific data in the format of a story to a general audience, the same has not been true for...
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
Due to the success of deep learning (DL) and its growing job market, students and researchers from many areas are interested in learning about DL technologies. Visualization has proven to be of...
Beyond Heuristics: Learning Visualization Design
In this paper, we describe a research agenda for deriving design principles directly from data. We argue that it is time to go beyond manually curated and applied visualization design guidelines....
Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology
Empirical studies form an integral part of visualization research. Not only can they facilitate the evaluation of various designs, techniques, systems, and practices in visualization, but they can...
PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research
PeyeDF is a Portable Document Format (PDF) reader with eye tracking support, available as free and open source software. It is especially useful to researchers investigating reading and learning...
Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors
While visual comparison of directed acyclic graphs (DAGs) is commonly encountered in various disciplines (e.g., finance, biology), knowledge about humans' perception of graph similarity is...
Chunked Lectures: A new model for conducting online lectures within Information Technology higher education
The primary aim of this study in this paper aside from presenting student preference survey data and analytics data with relation to learning videos, is to address the attention span issues with...
What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?
Little is known about how people learn from a brief glimpse of three-dimensional (3D) bivariate vector field visualizations and about how well visual features can guide behavior. Here we report...