Providing Automated Student Assessment via Graphical Models

by
Nathan Evans

In an effort to enhance the educational process, we can utilize computational multitasking and processing power via online learning environments to effectively monitor studentsÂ’ progress and predict individual cognitive states. Serving as an aid to both educators and students, the Graphical Model Assessment Gnome (GMA Gnome) aims to provide student-specific automated feedback. For teachers, this feedback can be used to differentiate those students who are struggling conceptually with certain material from those who have a firm grasp of the material. Additionally, it can serve as a meta-level indication of whether or not the teacher is effectively presenting the information to the pupils. Students in turn benefit from automated, individualized feedback in classroom situations where a single teacher may not be able to provide individual attention at all times. In this talk I will be covering the theory and application of the GMA Gnome, challenges that arise in providing automated feedback and the educational benefits of online learning environments.

Advised by Steve Tanimoto

CSE 403
Wednesday
May 18, 2005
4:30 - 5:20 pm