Data Visualization for Improving Financial Literacy: A Systematic Review
Meng Du, Robert Amor, Kwan-Liu Ma, Burkhard C. W\"unsche

TL;DR
This systematic review examines how data visualization techniques are used in financial education to enhance literacy, analyzing 37 studies to identify trends, tools, and effectiveness in improving financial understanding.
Contribution
It provides a comprehensive classification of visualization applications in financial literacy research and highlights gaps and opportunities for future educational tools.
Findings
Visualization use has evolved over time and space.
Motivations include engagement and comprehension.
Various tools and technologies are employed.
Abstract
Financial literacy empowers individuals to make informed and effective financial decisions, improving their overall financial well-being and security. However, for many people understanding financial concepts can be daunting and only half of US adults are considered financially literate. Data visualization simplifies these concepts, making them accessible and engaging for learners of all ages. This systematic review analyzes 37 research papers exploring the use of data visualization and visual analytics in financial education and literacy enhancement. We classify these studies into five key areas: (1) the evolution of visualization use across time and space, (2) motivations for using visualization tools, (3) the financial topics addressed and instructional approaches used, (4) the types of tools and technologies applied, and (5) how the effectiveness of teaching interventions was…
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Taxonomy
TopicsFinancial Literacy, Pension, Retirement Analysis · FinTech, Crowdfunding, Digital Finance · Financial Literacy and Behavior
