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AWS-PartyRock - AgentMI

AWS-PartyRock - AgentMI

The learning assistant I've developed with AWS PartyRock is an interactive platform designed to enhance Python programming skills. Users provide a specific topic they want to improve in, and in return, the application generates three pieces of code containing errors. The user is then challenged to find these errors, and if they can't spot them, the AI provides progressive hints until the issue is resolved.

Published Mar 6, 2024
Motivations:
This application was created to offer Python learners a hands-on and stimulating experience. The idea is to combine the fun aspect of error hunting with the pedagogical efficiency of progressive problem-solving. By highlighting specific topics, we aim to personalize the learning experience to cater to individual user needs.
Furthermore, using AI to generate errors allows for a variety of cases, ensuring a diverse and engaging learning experience. This practical approach gives learners a unique opportunity to apply their theoretical knowledge in real-world scenarios, reinforcing their practical understanding of Python.
Utility:
This application proves extremely useful for several reasons. Firstly, it provides an interactive method for learning Python, suitable for different skill levels. By encouraging active problem-solving, it promotes the development of critical thinking and debugging skills, key elements in the programming world.
Moreover, by allowing users to choose specific topics, the application addresses their particular needs, offering a personalized learning experience. Finally, this playful and interactive approach makes programming learning more enjoyable and motivating, creating an environment conducive to continuous skill improvement.