Development of an Offline Android-based Test Paper Checker Application for Northwestern Visayan Colleges
DOI:
https://doi.org/10.69478/JITC2024v6n3a04Keywords:
Automated Grading, Optical Character Recognition (OCR), Item Analysis, Offline Test Paper CheckerAbstract
This research introduces an offline Android-based Test Paper Checker application designed to automate and streamline the grading process in institutions like Northwestern Visayan Colleges. Using optical character recognition (OCR) and machine learning, the app accurately digitizes and scores handwritten test responses, improving grading speed and accuracy. Key features include student registration, exam creation, paper scanning, correction key generation, and item analysis for question performance. The app functions offline, ensuring accessibility without internet connectivity. By reducing manual errors and processing times, it supports educators in delivering faster feedback and aligns with UNSDGs Goal 4 (Quality Education) and Goal 9 (Innovation).
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Copyright (c) 2024 Joseph Z. Masula, Cybelle Justin Arsenio, Naomi J. Flores, Elamie Z. Nacasabug, Mariamie L. Tamboong, Krystaly N. Geralde
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
