Agile Development of PressAI: Enhancing Educational Efficiency through QR-Based Attendance and AI-Powered Essay Scoring
Year: 2024
Type: article
Abstract: In learning activities, common issues such as time-consuming and manipulation-prone attendance processes, as well as subjective and inconsistent essay grading, often arise. This study aims to develop PressAI, an AI-based application that automates attendance using QR code technology and provides objective essay grading powered by the OpenAI API. The application was developed using the Agile methodology integrated within the Software Development Life Cycle (SDLC) framework, through iterative stages including planning, requirements analysis, system design, implementation, and testing. The results demonstrate that PressAI enables instant and accurate attendance recording via QR scanning, provides a seamless login experience without repeated authentication, and delivers fast and objective essay assessments. With its features, PressAI is expected to enhance efficiency and transparency in the learning process while offering opportunities for further innovative feature development.
Institution: State University of Makassar
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4404908409