The Visual Perception Learning Model Based on Inclusive Design to Enhance Data Storytelling Skills in Digital Visualization
Year: 2025
Type: article
Abstract: This study investigates the impact of a visual perception learning model based on inclusive design principles on improving data storytelling skills in digital visualization—an important competency in the changing landscape of information technology (IT). As data-driven decision-making becomes more prevalent across industries, effective data storytelling is critical for communicating complex insights. This study contributes to IT by introducing a systematic learning framework and interactive digital tools that assist learners in creating accessible and impactful visual narratives. The framework has five major stages: exploration, conceptualization, application, evaluation and iteration, and reflection. These stages help learners understand the relationship between visual perception and inclusive design, promoting the creation of high-quality data visualizations. Expert evaluations gave the model a high overall rating of 4.86 out of 5 stars. Participants demonstrated significant improvement in their understanding of visual perception and inclusive design, with a strong correlation between the two concepts (r=0.784). The digital learning tools, which were designed to be accessible and engaging, received positive usability feedback (M=4.73, S.D.=0.41) and effectively motivated learners. Assessment results also showed that participants improved their data storytelling skills (M=4.41, S.D.=0.64), demonstrating proficiency in both tool usage and visualization design. While the study emphasizes strengths, it also identifies challenges in simplifying complex data, creating compelling narratives, and mastering advanced visualization tools. These findings highlight the importance of inclusive design in IT education, providing learners with the necessary digital skills to create professional, engaging, and accessible visualizations. This study emphasizes the importance of continued advancements in IT-driven learning models for improving storytelling techniques and digital data visualization skills.
Author: Journal of Theoretical and Applied Information Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7083019741
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