Optimizing Economates: Lean UX-Driven Redesign for Enhanced Economic Literacy, User Satisfaction, and a Smarter Learning Experience
Economates is a mobile-based online learning platform aimed at enhancing economic literacy in a practical and accessible manner. Several features are provided, such as economic and Islamic economic materials, an economic dictionary, and a bibliography. This study aims to analyze the user experience (UX) and improve the user interface (UI) of the Economates application using the Lean UX method with the variables of Content, Material, and Design Features. This research employs a survey with a questionnaire instrument distributed online to 91 users of the Economates application. Data were analyzed using Smart-PLS. The f-square table shows the correlation between Content and Features with an effect size of 0.013. This value falls within the range of 0.002 – 0.015, indicating that the correlation between Features and Content is still relatively small. The R-square test result of 59.3% indicates that the majority of users agree that the features provided by the application help improve their understanding of economics in a flexible manner. Based on the research findings, three key areas for UI improvement were identified: subscription package notifications and payment methods. The application of the Lean UX method in development has been proven to significantly enhance the user experience, leading to increased user engagement and satisfaction. Improving the UX and UI of the Economates application can also encourage wider adoption and improve the effectiveness of the digital learning platform in promoting economic literacy. Future research is expected to expand the scope of subjects and variables studied and to evaluate the long-term impact of the implemented improvements.
Authors
- Teguh Prasandy (ORCID: https://orcid.org/0000-0003-2348-7707)
- Mayla Zida Rahma Izzati
- Risma Ayu Dwi Septyani
- Octaviera Nanda Aji Cahyani
Institutions
- Binus University (ID)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/icoris63540.2024.10903840
- Primary Topic
- Knowledge Management and Sharing
- Type
- article
- Field-Weighted Citation Impact
- 0.00