Year: 2006
Type: conference-paper
Abstract: We describe a tutorial dialogue system under development that assists students in learning how to differentiate equations.The system uses deep natural language understanding and generation to both interpret students' utterances and automatically generate a response that is both mathematically correct and adapted pedagogically and linguistically to the local dialogue context.A domain reasoner provides the necessary knowledge about how students should approach math problems as well as their (in)correctness, while a dialogue manager directs pedagogical strategies and keeps track of what needs to be done to keep the dialogue moving along.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2606175219