Schema_Study_v1 / README.md
keefereuther's picture
Update README.md
d847cd3 verified

A newer version of the Streamlit SDK is available: 1.53.0

Upgrade
metadata
title: Schema Study v1
emoji: 📚
colorFrom: red
colorTo: gray
sdk: streamlit
sdk_version: 1.51.0
app_file: app.py
pinned: true
license: gpl-3.0
short_description: Study app chatbot based on OpenAI API

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Schema Study: An AI-Enhanced Study App for Biology Students

Schema Study is a DIY AI-Enhanced Study App designed to assist biology students in mastering core course concepts through interactive study sessions. This application leverages AI technology to provide instant feedback and guidance, making it a valuable tool for both students and educators.

Pedagogical Value

Schema Study enhances the learning experience by:

  • Promoting Active Learning: Students engage with course material interactively, which helps reinforce their understanding.
  • Providing Instant Feedback: The AI-powered chatbot offers immediate responses, allowing students to correct misconceptions in real-time.
  • Encouraging Critical Thinking: By using the Socratic method, the app guides students to explore concepts deeply and make connections between different terms.
  • Customizable Content: Educators can tailor the app to their curriculum by uploading specific terms and schemas, ensuring relevance to their course.

Features

  • Password Protection: Ensures secure access to the app.
  • Customizable Terms: Educators can upload a CSV file with their own terms and schemas.
  • AI-Enhanced Feedback: Utilizes OpenAI's GPT-4o model to provide detailed explanations and formative feedback.
  • Interactive Chat: Engages students in a dialogue with the AI chatbot to deepen their understanding.

License

This project is licensed under the GNU GPL-3 License - see the LICENSE file for details.

Acknowledgments

Developed by Keefe Reuther and Liam O Mueller, Assistant Teaching Professors in the UC San Diego School of Biological Sciences. Special thanks to the members of the Reuther Lab for their support and contributions.