How to build an online learning platform that engages and educates students at scale with Amazon Kendra, Amazon Comprehend, Amazon Translate,and more.

2020-06-12 (Day 1) ~ 14:00 - 14:30

Main Hall

Cantonese (English interpretation)
Beginner

Problem

To be honest, none of the online teaching solution meets the real need of running online lab session. All existing online teaching solutions are just for online meeting or one direction broadcast! Teachers are 100% no way to know your students are really working on their exercise at home or they are just open the online meeting apps, and then doing other stuff!

The submission rate of exercise in online class is much higher than face-to-face classes as in general it just needs one student to complete the exercise and share it to the whole class which is much easier so everyone can submit assignment! However, students do not learn anything at all, and the online class is totally useless.

On the other hand, most of the students are not willing to ask question during online class. The main difference of online class and face-to-face class is there is lack of interaction. Without classmate or buddy, young students feel boring and alone then they do not join the online class!

Solution

We develop “All screens” - an AWS Amplify App using most of the Amazon AI services and Amazon Sumerian to address the problem. This project is the extended the concept from our Lab Monitor (AWS Artificial Intelligence (AI) Hackathon 3nd place) This blog post will introduce the features and briefly explain the AWS technologies behind the scene.

Cyrus Wong

IVE / Hong Kong

Cyrus Wong is Data Scientist of Cloud Innovation Centre at the IT Department of the Hong Kong Institute of Vocational Education (Lee Wai Lee). He has achieved all 12 AWS Certifications and actively promotes the use of AWS in different media and events. His projects received four Hong Kong ICT Awards in 2014, 2015, and 2016, and all winning projects are running solely on AWS with Data Science and Machine Learning. One of the winning projects is “AWS Cloud Lab Environment,” an open-sourced project for educators to create tailor-made lab environments on AWS.

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 provide 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, and Using AWS AI and Amazon Sumerian in IT Education.

Ng Sin Ching, Mike

Hong Kong

Studies Higher Diploma in Cloud and Data Centre Administration in IVE(LWL) taught by AWS Machine Learning Hero Cyrus Wong. One of the team member of ‘Lab Monitor' who won the third-place in AWS AI Hackathon 2018. Currently working as a Technical Program Intern in AWS HK solution architect team, focus on supporting Solution Architect teams on performing PoC projects, building demo kits, and hosting public technical workshops in Hong Kong.

Lam Pak Yin, Sam

Hong Kong

Studies Higher Diploma in Cloud and Data Centre Administration in IVE(LWL). I am interested in AWS Cloud technologies such as big data analysis, Al and machine learning.

Law Mei Ching, Pearly

Hong Kong

I will study Higher Diploma in Cloud and Data Centre Administration in IVE(LWL). I am one of the team member of ‘Lab Monitor' who won the third-place in AWS AI Hackathon 2018, the youngest girl AWS DeepRacer player of the world, and the youngest girl with AWS certification.