Student gaming behavior in intelligent tutoring systems (ITS) has been correlated with lower learning rates. The goal of this work is to identify such behavior, produce interventions to discourage this behavior, and by doing so hopefully improve the learning rate of students who would normally display gaming behavior. Detectors have been built to identify gaming behavior. Interventions have been designed to discourage the behavior and their evaluation is discussed.

Creator

• Forbes-Summers, Elijah

Colaboradores

• Heffernan, Neil

Degree

• MS

Unit

• Computer Science

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• etd-050310-164118

Palabra Clave

• Assistment
• Intelligent Tutoring System
• Knowledge tracing
• gaming the system

Advisor

• Heffernan, Neil

Defense date

• 2010-04-27

Year

• 2010

Date created

• 2010-05-03

Resource type

• Thesis

Rights statement

• In Copyright

Última modificación

• 2021-02-01