How to build an automatic grading solution for handwriting assessment with Amazon Textract and processing result with Amazon SageMaker Studio Lab
Time: 14:30 – 15:00
Grading student works is a tedious and exhausting task for all teachers. Someone may say nowadays student works can be in digital form but nearly all schools keep using paper and pen for test and exam. In Asia, teachers need to spend at least 3-4 hours to grade student assignment every day and there is no effective way to handle the grading work. Also, due to the manpower limitation, it is impossible to record down the details mark and answer to each question for further analysis.
In November 2020, Amazon Textract announced the support of recognizing handwriting, and we start to design and develop a solution to adopt AWS AI and machine learning services to grade handwriting test and exam. Amazon Textract Grader is a serverless AWS AI/ML application to grade handwriting student works automatically and produce detailed breakdown record for further analysis or processing.
This solution is not only useful for school, and it can be used to process survey, application form or stack of form like documents.
About the Speaker
Mr. Cyrus Wong / IVE
Cyrus Wong is Data Scientist in the Cloud Innovation Centre within the IT Department of the Hong Kong Institute of Vocational Education (Lee Wai Lee). He has achieved all 13 AWS Certifications and actively promotes the use of AWS in different media and events. His projects have received four Hong Kong ICT Awards in 2014, 2015, and 2016, and all winning projects are running solely on AWS using Data Science and Machine Learning services. One of the winning projects is “All Screens,” an open-sourced project for educators to support online teaching on AWS during COVID-19.
Cyrus also helps to deliver the full-time course “Higher Diploma in Cloud and Data Centre Administration,” which is the first tertiary course in Asia dedicated to providing Cloud Technology training. The course is committed to providing AWS Academy training to Hong Kong students and Cyrus is an AWS Academy Accredited Trainer. He incorporates AI/ML into his daily curriculum and often writes about projects. Examples include: Analyze Emotion in Video Frame Samples Using Amazon Rekognition on AWS, Build an Amazon Lex Chatbot with Microsoft Excel, Using AWS AI and Amazon Sumerian in IT Education, and Building a scalable outbound call engine using Amazon Connect and Amazon Lex.
He shares his AWS and cloud-related knowledge and experience on his LinkedIn Blog, he is an active member in the AWS Hong Kong User Group, and he created a YouTube channel “AWS Talks in Cantonese (廣東話重講 AWS),” which are presentations on important AWS topics for Hong Kong, China, and Taiwan AWS users who are not familiar with English. One of the most popular blog posts by Cyrus is “How to get all AWS Certifications in Asia?”