Case study
Xplain: Smart Teaching Assistant
A teaching-assistant prototype that analyzes transcribed classroom conversations and generates contextual explanations, examples, and resources for educators.
AI Teaching-Assistant Prototype · Node.js, Express, and OpenAI
I built Xplain as a prototype for supporting educators during a teaching conversation. It processes voice transcriptions of teacher-student interactions and uses the conversation's context to generate additional explanations, examples, or resources.
Assistance in Context
The exploration focused on surfacing useful material as a teaching session developed. The prototype analyzed the transcribed dialogue for moments where additional context might help, using the ongoing discussion as the basis for assistance.
The workflow brought together:
- Processing of incoming voice transcriptions.
- Context analysis of teacher-student dialogue.
- Generation of supporting items related to the discussion.
Prototype Stack
- Node.js: Server-side runtime.
- Express: HTTP request handling.
- OpenAI API: Analysis of teaching conversations and generation of contextual assistance.
What the Prototype Explored
Xplain explored the connection between an ongoing conversation and timely supporting material. The emphasis was on the assistance workflow: turning teaching context into a relevant next explanation or example while keeping the educator at the center of the session.