Work

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

Year: 2024

Type: article

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).

Source: Journal of innovative technology convergence.

DOI: 10.69478/jitc2024v6n3a04

Authors: Joseph Masula, Cybelle Justin Arsenio, Naomi Flores, Elamie Nacasabug, Mariamie Tamboong, Kristaly Geralde

Institution: Northwestern Visayan Colleges

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4403592231

FWCI:

Cites:

Cited by:

Related to: 10