Towards an Intelligent Tutor for Mathematical Proofs
Autexier, Serge, Dietrich, Dominik, Schiller, Marvin
–arXiv.org Artificial Intelligence
Computer-supported learning is an increasingly important form of study since it allows for independent learning and individualized instruction. In this paper, we discuss a novel approach to developing an intelligent tutoring system for teaching textbook-style mathematical proofs. We characterize the particularities of the domain and discuss common ITS design models. Our approach is motivated by phenomena found in a corpus of tutorial dialogs that were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor for textbook-style mathematical proofs can be built on top of an adapted assertion-level proof assistant by reusing representations and proof search strategies originally developed for automated and interactive theorem proving. The resulting prototype was successfully evaluated on a corpus of tutorial dialogs and yields good results.
arXiv.org Artificial Intelligence
Feb-22-2012
- Country:
- Oceania
- New Zealand > North Island
- Waikato (0.04)
- Australia > New South Wales
- Sydney (0.04)
- New Zealand > North Island
- North America
- United States > California
- Napa County > Napa (0.04)
- Los Angeles County > Los Angeles (0.04)
- Canada > Quebec
- Montreal (0.04)
- United States > California
- Europe
- Italy (0.04)
- United Kingdom > England
- West Midlands > Birmingham (0.04)
- Greater London > London (0.04)
- Cambridgeshire > Cambridge (0.04)
- Netherlands > North Holland
- Amsterdam (0.04)
- Germany
- Bremen > Bremen (0.04)
- Saarland > Saarbrücken (0.04)
- Asia
- Cambodia (0.04)
- Taiwan > Taiwan Province
- Taipei (0.04)
- Oceania
- Genre:
- Instructional Material > Course Syllabus & Notes (0.48)
- Research Report > Promising Solution (0.34)
- Industry:
- Technology:
- Information Technology > Artificial Intelligence
- Natural Language (1.00)
- Machine Learning (1.00)
- Cognitive Science (1.00)
- Representation & Reasoning
- Logic & Formal Reasoning (1.00)
- Rule-Based Reasoning (0.68)
- Expert Systems (0.68)
- Search (0.66)
- Information Technology > Artificial Intelligence