Data Visualization for Improving Financial Literacy: A Systematic Review

2025-06-25

AI Summary

This study addresses the challenge of abstract financial concepts and widespread deficits in public financial decision-making capability. We systematically review 37 empirical studies on data visualization for financial literacy education. Adopting a five-dimensional integrative analysis—covering visualization evolution, pedagogical motivations, instructional content, technical tools, and evaluation methodologies—we identify key effective interventions: interactive dashboards, dynamic flow diagrams, and personalized feedback charts. The review reveals critical gaps in longitudinal impact assessment, accessibility for vulnerable populations, and cross-cultural validation. Based on empirical evidence, we distill three foundational visualization design principles: cognitive alignment, contextual embedding, and progressive complexity. These principles constitute a theoretically grounded framework and actionable pathway for educators to develop highly accessible, engaging digital financial learning resources—shifting financial literacy education from knowledge transmission toward capacity building.

Technology Category

• Data Mining & Knowledge Management: Data Visualization & Summarization
• Knowledge Representation and Reasoning: Diagnosis and Abductive Reasoning
• Computer Vision: Visual Reasoning & Symbolic Representations

Application Category

• Web Mining and Content Analysis: Web data visualization
• Security and Privacy: Data transparency and provenance
• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success

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 evaluated. Furthermore, we identify research gaps and highlight opportunities for advancing financial literacy. Our findings offer practical insights for educators and professionals to effectively utilize or design visual tools for financial literacy.

Problem

• Enhancing financial literacy through data visualization techniques
• Analyzing effectiveness of visual tools in financial education
• Identifying gaps in financial literacy visualization research

Innovation

• Systematic review of 37 financial visualization studies
• Classifies studies into five key visualization areas
• Identifies gaps and opportunities in financial literacy tools