Intelligent Tutoring Systems

Students Enrolled in DSP Courses in ECE

Intelligent Tutoring Systems


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 Engineering
  • Computer Science
  • Electrical Engineering

Preferred Interests and Preparation

Meeting Schedule & Location






Cent 5244

Team Advisors

Greg Krudysz


Students Enrolled in DSP Courses in ECE