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Product 01Teaching Tool

VETTING Chat

An AI-powered educational chatbot designed to facilitate learning through intelligent conversations.

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Status
Live
Category
Teaching Tool
Built for
Educational research
VETTING ChatProduct view
VETTING Chat

Overview

About VETTING Chat

Think of VETTING Chat as your AI teaching assistant that actually listens to instructions. Built on the principle of "Verification and Evaluation Tool for Targeting Invalid Narrative Generation," this platform gives educators unprecedented control over AI conversations while maintaining the engaging, personalized experience students crave.

What makes VETTING Chat special? It strikes the perfect balance between AI capability and educational responsibility. Teachers can set precise boundaries to keep conversations on-topic, while students get 24/7 access to intelligent tutoring that adapts to their learning pace. The platform is trusted by leading educational institutions because it puts educators in the driver's seat.

For researchers, VETTING Chat is a goldmine of interaction data. Every conversation becomes a data point in understanding how students learn through AI dialogue. The platform seamlessly integrates with existing research workflows, making it easier than ever to conduct controlled studies on AI-enhanced education. Plus, our continuous learning system means the AI gets smarter with every interaction—it's like having a research assistant that never sleeps.

Capabilities

What VETTING Chat offers

  1. 01Customizable chat environments
  2. 02Teacher-controlled settings
  3. 03Research data collection
  4. 04Focused learning experience

Research

Research connected to VETTING Chat

Selected academic work associated with the design, development, or study of this product.

Journal article2026

VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI

Li, H., Zhang, S., & Botelho, A. F.

Computers and Education: Artificial Intelligence

2026 · Volume 11 · Article 100646

An in situ middle school writing deployment reported .943 precision, .913 recall, and .928 F1, with an estimated 91.2% reduction in inappropriate content exposure and a 19.6% increase in token usage.

Conference presentation2025

Investigating Student Interactions with General and Filtered ChatGPT

Zhang, S.*, Li, H.*, Lee, S.*, Schroeder, N. L.*, & Botelho, A. F.*

Association for Educational Communications and Technology (AECT) International Convention 2025

October 2025 · Las Vegas, NV, USA

Conference paper2025

VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry

Zhang, S.*, Li, H.*, Lee, S., Schroeder, N. L., & Botelho, A. F.*

26th International Conference on Artificial Intelligence in Education (AIED 2025)

July 2025 · Palermo, Italy