Robotic Process Automation: Ratification, Evaluation and Qualification of Teachers

Castañeda Hilario A.; Azahuanche Guillermo Antonio M.; Arenas Rubén Darío M.; Alvarado Carlos Joel G.; Peña Dennis Alberto E.; Baltazar Marisol Paola D. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.1090

Resumen

The project presents the design and implementation of an RPA system for the teacher qualification process. The main goal of the project is to automate and improve the accuracy of the grading process using technologies such as PDF file processing, grading algorithms, and artificial intelligence models. The project methodology describes the RPA workflow, which includes uploading PDF files, converting to Excel, analyzing Excel sheets, and automatically generating rating reports. The study's findings highlight the importance of automation in teacher qualification and the potential of RPA technologies to improve the efficiency and quality of this process. Future areas of research are suggested, such as incorporating machine learning techniques for continuous system improvement..

Instituciones: Universidad Nacional del Callao