A 3-member team presented a poster on Mindspark at EDM2010 – an International conference on Educational Data Mining held at the Carnegie Mellon University in Pittsburgh, USA.
The conference focused on how to use data from Intelligent Tutoring Systems to improve learning. The poster discussed how Mindspark, a school-based Intelligent Tutoring System, uses students’ data to help teachers improve their content-knowledge. It elaborated on the main features of Mindspark, namely, identifying misconceptions and common wrong answers, behavior of misconceptions across classes and different learning paths according to students’ error-patterns.