Abstract
Intelligent Tutoring Systems have become more common in education nowadays. AutoTutor is one such system. It uses a world knowledge representation, natural language processing, production scripts and a conversational interface. By assisting students in actively constructing knowledge, AutoTutor shows close to natural didactic and conversational skills. Not only is the system beneficial for both students and teachers, it also helps to test hypotheses in various interdisciplinary fields and generates various new research questions, thus playing an important role in education.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SITE 2002 Society for Information Technology & Teacher Education International Conference |
| Editors | Dee Anna Willis, Jerry Price, Niki Davis |
| Place of Publication | Nashville |
| Publisher | Association for the Advancement of Computing in Education (AACE) |
| Pages | 2056-2057 |
| ISBN (Print) | 978-1-880094-44-0 |
| Publication status | Published - 2002 |
| Externally published | Yes |