Development of an Offline Android-based Test Paper Checker Application for Northwestern Visayan Colleges

Authors

  • Joseph Z. Masula Computer Science Department, Northwestern Visayan Colleges, Kalibo, Aklan, Philippines
  • Cybelle Justin Arsenio Computer Science Department, Northwestern Visayan Colleges, Kalibo, Aklan, Philippines
  • Naomi J. Flores Computer Science Department, Northwestern Visayan Colleges, Kalibo, Aklan, Philippines
  • Elamie Z. Nacasabug Computer Science Department, Northwestern Visayan Colleges, Kalibo, Aklan, Philippines
  • Mariamie L. Tamboong Computer Science Department, Northwestern Visayan Colleges, Kalibo, Aklan, Philippines
  • Kristaly N. Geralde Computer Science Department, Northwestern Visayan Colleges, Kalibo, Aklan, Philippines

DOI:

https://doi.org/10.69478/JITC2024v6n3a04

Keywords:

Automated Grading, Optical Character Recognition (OCR), Item Analysis, Offline Test Paper Checker

Abstract

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).

References

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Published

2024-09-30

How to Cite

Development of an Offline Android-based Test Paper Checker Application for Northwestern Visayan Colleges. (2024). Journal of Innovative Technology Convergence, 6(3). https://doi.org/10.69478/JITC2024v6n3a04

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