Teachers and students can use a generative AI solution to create course materials and learn English words and sentences. The solution provides real-time assessments and personalized feedback for students. Teachers can generate questions and answers, create images, save assignments to a database, and browse existing assignments. Students can select assignments, answer questions, check grading scores, review suggested improvements, and read recommended answers. The solution uses Amazon Bedrock, Amazon ECS, Amazon CloudFront, ELB, Amazon DynamoDB, Amazon S3, and AWS CDK.
Enhancing Education with AI: A Practical Solution for Teachers and Students
Incorporating artificial intelligence (AI) into education has become a priority for teachers and institutions. Generative AI models, such as large language models (LLMs), are revolutionizing the way we teach and learn. These models have the potential to generate personalized learning content and provide engaging experiences for students.
Introducing Our Generative AI Solution
We have developed a generative AI solution that empowers teachers to create course materials and helps students learn English words and sentences. This solution provides real-time assessments, personalized feedback, and guidance to help students improve their answers.
What Teachers Can Do:
- Create assignments by generating questions and answers from a prompt
- Create images to represent the assignments
- Save assignments to a database for future reference
- Browse existing assignments from the database
What Students Can Do:
- Select and review assignments from the database
- Answer questions in the selected assignments
- Check real-time grading scores for their answers
- Review suggested grammatical and sentence improvements for their answers
- Read recommended answers for reference
How It Works:
Our solution is built using various Amazon services, including Amazon Bedrock, Amazon ECS, Amazon CloudFront, Elastic Load Balancing, Amazon DynamoDB, Amazon S3, and AWS CDK. Here’s an overview of the solution:
The solution is a scalable service accessible through web browsers. Content is served through an Amazon CloudFront distribution with an Application Load Balancer. Images are stored in an Amazon S3 bucket, and assignments and answers are saved in separate DynamoDB tables.
We utilize Amazon Bedrock to generate questions, answers, and assignment images. This fully managed service provides easy-to-use API interfaces for leading AI models. Additionally, we use AI21’s grammatical error correction API and paraphrase API to recommend word and sentence corrections.
Getting Started:
Before using our solution, it’s helpful to have some knowledge of generative AI, machine learning, and the Amazon services involved. You can find implementation details and the source code in our GitHub repository. Make sure to follow the setup instructions in the readme file.
Creating Assignments:
Teachers can easily create assignments using our solution’s GUI page. Input text is transformed into questions, answers, and an image that represents the assignment. For example, a teacher can input guidelines for bicycle safety, and the solution will generate corresponding questions, answers, and an image.
Here’s an example of generated questions and answers:
- Question: What should you always wear when riding a bicycle?
- Answer: You should always wear a properly fitted bicycle helmet when riding a bicycle. A helmet protects your brain and can save your life in a crash.
(similarly, other questions and answers are generated)
The generated assignments are saved to the DynamoDB table for easy retrieval.
Browsing Assignments:
Teachers can conveniently browse existing assignments and view the generated artifacts using our solution’s GUI page. Assignments can be accessed from the DynamoDB table, and images can be downloaded from the S3 bucket.
Answering Questions:
Students can select and read assignments, and then answer the corresponding questions. Our solution provides real-time grading by comparing students’ answers with the correct answers. It also ranks students’ answers and shows the top three scores for each question. Students can review suggested grammatical and sentence improvements for their answers as well.
Students’ answers are saved in a separate DynamoDB table for further evaluation.
Conclusion:
Our AI-assisted solution enhances the teaching and learning experience by leveraging generative AI and NLP models. This approach can be applied to develop other generative AI prototypes and applications. If you’re interested in learning more about generative AI and working with foundation models, check out our hands-on course Generative AI with LLMs.
Discover how AI can redefine your way of work and improve teaching and learning experiences. Connect with us at hello@itinai.com for AI KPI management advice. Stay updated on AI insights through our Telegram channel t.me/itinainews or Twitter @itinaicom.
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