Developing an Intelligent Tutoring System Using Natural Language for Knowledge Representation

Authoring the domain knowledge of an intelligent tutoring system (ITS) is a well-known problem, and an often-mentioned approach is to use authors who are domain experts. Unfortunately, this approach requires that potential authors learn to write and debug knowledge written in a formal knowledge. This paper presents the design of an authoring system, „Natural-K‟, in which domain authors including nonprogrammers are able to add background knowledge in natural language.

• Type: Conference
• Year: 2010
• Where: ITS
• Authors: Sung-Young Jung, Kurt VanLehn
• Keywords: Domain Knowledge, Formal Knowledge, Intelligent Tutoring System, ITS 2010, Multimedia