Student attentiveness and engagement analysis in live classrooms with generative AI

This article presents a sample solution using generative AI to analyze student attentiveness and engagement in online live classrooms by capturing screenshots, generating quizzes, and providing real-time feedback to teachers.

• Captures classroom screenshots at regular intervals and stores in Amazon S3
• Uses Amazon Bedrock to analyze visual content and generate quiz questions
• Validates captured content relevance to lesson topics before processing
• Generates multiple-choice questions with four options and one correct answer
• Stores content descriptions and quizzes in Amazon DynamoDB
• Delivers quizzes to students via Amazon SQS for real-time engagement tracking
• Serverless, event-driven architecture using Lambda, S3, SQS, and DynamoDB
• Integrates with Amazon IVS for live streaming and existing classroom platforms
• Sample solution available on GitHub with deployment and demo guides

This solution enables teachers to gauge student understanding in real-time during virtual classes and adjust teaching strategies accordingly, improving learning outcomes through interactive assessments.