Implementation of Handwriting Recognition and Answer Evaluation with Recurrent Neural Network
John Suryajaya Pangestu, K L Rita Kho, Dewi Suryani, Leo Andika · Procedia Computer Science · 2023
Many teachers “still utilize exams to gauge their pupils' knowledge. However, as the teacher must comprehend each answer provided by each student individually, analyzing the exam response can take a long time. Additionally, different handwriting styles may lead to errors in scoring the response, resulting in an erroneous mark. This study suggests a web-based program that can read students' handwriting to assist teachers in assessing students’ responses. The objective of this study was to develop a web-based application that can accept student responses as input and output correctness.