Human-like interaction via Natural Language Processing
Personalized student support
Note-taking feature fast-tracks learning progress & performance
The client’s Subject Matter Experts (SMEs) have limited availability to address the large number of students’ requests to address their issues. The client is interested in embracing a data-first academic culture leveraging AI services to support the delivery of education to their student base. The client wishes to develop AI tutors that can: coach students through their coursework and degree programs, convey knowledge and interact via natural language dialogue in speech and text, increase student engagement on any device.
NetworkX
Azure DevOps
Dialogflow
Google Cloud Platform
Quantiphi designed a large-scale AI-based tutor that assists students across multiple learning contexts and domains, evaluating coursework and providing real-time feedback, creating a personalized learning experience
even outside the classroom. Quantiphi’s solution included using a tool to assist the Subject Matter Experts (SMEs) in tagging the content of the course and creating a Knowledge Graph to empower the dialogs, questions and the chat flow of the AI tutor.
