Dialogue-Based Historical Text Comprehension

In this contribution 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 the appropriate for the learner individualized interactive diagnostic and learning dialogue. Throughout the dialogue the learner reflects back to claims about his reasoning and may change his reasoning.

• Type: Conference
• Year: 2003
• Where: ICALT
• Authors: Grammatiki Tsaganou, Maria Grigoriadou, Theodora Cavoura
• Keywords: Dialogue Generator, Dialogue Generator Module, ICALT 2003, Interactive Diagnostic, Machine Learning