Question Generation and Adaptation Using a Bayesian Network of the Learner’s Achievements

• Published in: Artificial Intelligence in Education pp. 729 - 732
• Main Authors: Wißner, Michael, Linnebank, Floris, Liem, Jochem, Bredeweg, Bert, André, Elisabeth
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013
• Series: Lecture Notes in Computer Science
• Subjects: Bayesian Networks; Conceptual Knowledge; Learner Models; Question Generation

This paper presents a domain independent question generation and interaction procedure that automatically generates multiple-choice questions for conceptual models created with Qualitative Reasoning vocabulary. A Bayesian Network is deployed that captures the learning progress based on the answers p...