Question Generation and Adaptation Using a Bayesian Network of the Learner’s Achievements
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| Publication date | 2013 |
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| Book title | Artificial Intelligence in Education |
| Book subtitle | 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013 : proceedings |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | AIED 2013, Memphis, TN, USA |
| Pages (from-to) | 729-732 |
| Publisher | Berlin: Springer |
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| Abstract |
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 provided by the learner. The likelihood of concepts being known or unknown on behalf of the learner determines the focus, and the question generator adjusts the contents of its questions accordingly. As a use case, the Quiz mode is introduced. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-642-39112-5_99 |
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