Intelligent Tutoring System

Personalizable ITS: To create an automated problem and solution generator leveraging knowledge graph-powered video comprehension

Summary

The overarching goal of this project is to enhance learning experience, improve learning outcomes, and support teachers by developing a novel, interactive tutoring system that integrates teacher feedback and enhances accessibility. The project proposes to create an automated problem and solution generator that is individually differentiated and tailored to the diverse needs of learners, enhanced by teacher feedback.

Funding Agency:
South Dakota State University | Startup Fund

Team:
Chulwoo Pack (PI) | McComish Dept. of EECS, SDSU
Muktiar Ali (Ph.D. Student) | McComish Dept. of EECS, SDSU
Hossein Erfanshekooh (M.S. Student) | McComish Dept. of EECS, SDSU
Sugam Mishura (M.S. Student) | McComish Dept. of EECS, SDSU
Nikhil Chaudhary (M.S. Student) | McComish Dept. of EECS, SDSU Mehul Deep (M.S. Student) | McComish Dept. of EECS, SDSU

Duration:
2023-2026

Total Funding:
$73,000

External Resources:

• Hossein–Advanced ANN: MeanMaxSim (MMS) Forthcoming
• Sugam and Nikhil–Context-aware Community Detection (CCD) Forthcoming
• Mukhtiar–Advanced Alignment Module for GRAG (AAM) Forthcoming