Intelligent Tutoring System

2009 ~ Present | Students Enrolled in DSP Courses in ECE

Goals

Develop interactive systems that enhance learning by supporting digital dialogs between students and all resources available for a course. The project will use and develop concept mining tools to generate metadata across a diverse set of materials, such as course notes, textbooks, archive of homework questions, databases of tests and solutions, laboratories, web resources, etc. The system will adapt to individual skill levels and learning styles to tailor the learning experience to student needs. New technologies including wireless networks and 3G smart-phones will be used to allow anytime, anywhere access to the system.

Issues Involved or Addressed

Organization of course content through a hierarchical representation of concept maps. Data mining of student interactions for adaptation. Structuring student learning by tutor-based interactions via digital dialogs.

Methods and Technologies

  • Databases
  • Learning Theory
  • Learning Systems
  • Web Interfaces and Applications
  • Concept Maps
  • Ontologies

Academic Majors of Interest

  • Computer Science
  • OMSCS asynchronous
  • OMSCS synchronous
  • Computer Engineering
  • Electrical Engineering

Preferred Interests and Preparation

EE - Background/interest in signal/image/video processing, learning theory, adaptive systems. Programming/databases experience would be helpful but is not required. CmpE, CS - Background/interest in databases, web interface and applications. Database experience would be helpful but is not required.

Meeting Schedule & Location

Time 
3:30-4:20
Meeting Location 
Centergy 5234
Meeting Day 
Friday

Team Advisors

Mr. Greg Krudysz
  • Electrical and Computer Engineering

Partner(s) and Sponsor(s)

Students Enrolled in DSP Courses in ECE