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