Language Learning Aid

Abstract

This projects aim is to resolve challenges in second-language acquisition by creating a software application that integrates language learning with media, specifically those in image formats. Traditional methods lack the engagement that research suggests enhances learning outcomes and bolsters retention.Using the theories from Krashen, Pica, and others as a basis, the application attempts to leverage comprehensible input to enhance user’s sentence structure understanding, learning retention, and learning efficiency. Using technologies such as optical character recognition (OCR) and dictionary integration through apis, the software extracts language data from images, providing users with definitions from an input language to a target language. Initial development focused on Javascript, Python, and Tesseract OCR for text extraction, with plans for expansion into scalable frameworks like Django to support personalized learning tools. By using language learning research as a basis this project attempts to create a fun, effective, and efficient application to provide an avenue for language learners to enjoy foreign media whilst effectively achieving learning outcomes. LINK TO PROJECT: https://github.com/justrwill/Senior_project