Collaboration prediction in real-time

Developed an app to allow teachers to create and monitor group activities in their classroom. 🏆 Best Demo Award at LAK’23 Conference, TX, USA

Project overview

This project is culmination of my PhD work. The project’s goal was to allow teachers to monitor group’s activities in their classrooms where students collborating face-to-face using some digital technology.

🏆 Best Demo Award at LAK’23 Conference, TX, USA

The app recieved Best Demonstration Award at the prestigious Learning Analytics & Knowledge conference organized in USA in 2023.

Research Paper

The findings from the usability analysis of the app were published in Learning Analytics & Knowledge conference organized at Kyoto, Japan in 2024. You can access the paper here

⚡ Key Contributions

• Developed django app to create collaborative learning activities using Etherpad
• Integrated Google Speech-to-Text API to convert audio into speech data in real-time
• Added a recording component to record audio and video data of the participant for post-hoc analysis
• Integrated collaboration prediction component for real-time prediction of collaboration quality of the group

Skills Applied

Python Programming, Web Development, DevOps, MLOps,

Libraries Used

django,pandas,matplotlib,numpy,scikit-learn