The effectiveness of a digital budget assistant with auto-split expense feature in enhancing students financial planning

This study is about a Digital Budget Assistant with Auto-Split Expense Feature to determine its effect on improving the financial planner and manager capabilities of students. It was developed with User-Centered Agile Software Development Methodology, ensuring that the system is user-friendly and able to be integrated into new environments to students’ financial needs. The researcher chose a quantitative approach to the research design and solicited feedback from 30 students via such means as SUS (System Usability Scale) questionnaires and indicators of performance. The evaluation outcomes demonstrated that a SUS score of 76.6 was obtained, which means good/excellent usability was exploited and the system have been evaluated by 30 students who actually started using this application through System Usability Scale (SUS) questionnaire and performance measures test. Descriptive analysis was conducted to explore the influence of frequency of use on efficacy in budgeting accuracy in expenditure management. Results analysis revealed to receive system is evaluated with an overall SUS score threshold of 76.6 for the Good – Excellent Usability classification. The app was rated as excellent in terms of functionality, accuracy and decision aiding by the users. This new Auto-Split Expense Feature was a big step forward in better money savings groups roundup, group expenditure management, and keeping the transparency of group spending features. The system was concluded to be more precise, less time consuming and more supportive in decision than the manual-budgeting practices. Findings justify that the Digital Budget Assistant has a significant positive effect on financial literacy, budgeting discipline and collective student finance planning. Future work includes optimization of offline usage, inclusion of more financial activities and testing among multiple institutions to improve usability and scalability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.18333404
Primary Topic
Financial Literacy and Behavior
Type
article
Field-Weighted Citation Impact
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article

The effectiveness of a digital budget assistant with auto-split expense feature in enhancing students financial planning

Cutie Dagum, Keith Josh Munda, Airah Shane Cabizares, Shepril Heart Sagarino
Zenodo (CERN European Organization for Nuclear Research)
Financial Literacy and Behavior
article

The effectiveness of a digital budget assistant with auto-split expense feature in enhancing students financial planning

Cutie Dagum, Keith Josh Munda, Airah Shane Cabizares, Shepril Heart Sagarino
article en

Abstract

This study is about a Digital Budget Assistant with Auto-Split Expense Feature to determine its effect on improving the financial planner and manager capabilities of students. It was developed with User-Centered Agile Software Development Methodology, ensuring that the system is user-friendly and able to be integrated into new environments to students’ financial needs. The researcher chose a quantitative approach to the research design and solicited feedback from 30 students via such means as SUS (System Usability Scale) questionnaires and indicators of performance. The evaluation outcomes demonstrated that a SUS score of 76.6 was obtained, which means good/excellent usability was exploited and the system have been evaluated by 30 students who actually started using this application through System Usability Scale (SUS) questionnaire and performance measures test. Descriptive analysis was conducted to explore the influence of frequency of use on efficacy in budgeting accuracy in expenditure management. Results analysis revealed to receive system is evaluated with an overall SUS score threshold of 76.6 for the Good – Excellent Usability classification. The app was rated as excellent in terms of functionality, accuracy and decision aiding by the users. This new Auto-Split Expense Feature was a big step forward in better money savings groups roundup, group expenditure management, and keeping the transparency of group spending features. The system was concluded to be more precise, less time consuming and more supportive in decision than the manual-budgeting practices. Findings justify that the Digital Budget Assistant has a significant positive effect on financial literacy, budgeting discipline and collective student finance planning. Future work includes optimization of offline usage, inclusion of more financial activities and testing among multiple institutions to improve usability and scalability.

Zenodo (CERN European Organization for Nuclear Research)
Goodyear (United Kingdom) (GB)
Quality Education
Openalex Percentile: Top 18%
Financial Literacy and Behavior
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