Dialogue-based historical text comprehension

Abstract

We present the dialogue generator module of a dialogue-based interactive diagnostic and learning system (DIDLS) for historical text comprehension (HTC). The dialogue generator, activated by the diagnostic results of the system, generates individualized interactive diagnostic and learning dialogue that is appropriate for the learner. Throughout the dialogue the learner reflects back to claims about his reasoning and may change his reasoning. © 2003 IEEE.