Question Generation from Concept Maps

In this paper we present a question generation approach suitable for tutorial dialogues. The approach is based on previous psychological theories that hypothesize questions are generated from a knowledge representation modeled as a concept map. Our model automatically extracts concept maps from a textbook and uses them to generate questions. The purpose of the study is to generate and evaluate pedagogically-appropriate questions at varying levels of specificity across one or more sentences. The evaluation metrics include scales from the Question Generation Shared Task and Evaluation Challenge and a new scale specific to the pedagogical nature of questions in tutoring

Extraction of concept maps from textbooks for domain modeling

Previous research using concept maps as domain models in intelligent tutoring systems has demonstrated their power and flexibility. However, these concept maps must still be authored by a domain expert, creating a development bottleneck. We present a new, streamlined methodology for automatically extracting concept maps from textbooks using term extraction, semantic parsing, and relation classification. © 2010 Springer-Verlag