AI Tutor for Personalized Learning
EducationBusiness Impacts
Human-like interaction via Natural Language Processing
Personalized student support
Note-taking feature fast-tracks learning progress & performance
Customer Key Facts
- Location : North America
- Industry : Higher Education
Problem Context
The customer’s Subject Matter Experts (SMEs) have limited availability to address the large number of students’ requests to address their issues. They were interested in embracing a data-first academic culture leveraging AI services to support the delivery of education to their student base. The customer wanted 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.
Challenges
- Replication of teacher-student interaction
- Knowledge base creation
- Non-domain specificity
- Scaling-up for course and students
Technologies Used
NetworkX
Azure DevOps
Dialogflow
Google Cloud Platform
Assisting Students in Reading Comprehension And Writing Tutorial Activities with a Deep Learning-Based Intelligent Tutor
Solution
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.
Results
- Personal Assistance
- Intuitive User Interface
