Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System
| Autor: | Renuka Sindhgatta, Matthew Ventura, Tejas I. Dhamecha, Shazia Afzal, Nirmal K. Mukhi, Jessica Yarbro, Smit Marvaniya |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Government
Computer science Scale (chemistry) 05 social sciences 050301 education 02 engineering and technology Intelligent tutoring system Human–computer interaction Software deployment 0202 electrical engineering electronic engineering information engineering Domain engineering 020201 artificial intelligence & image processing Dialog box 0503 education Natural language |
| Zdroj: | NAACL-HLT (2) |
| DOI: | 10.18653/v1/n19-2015 |
| Popis: | There are significant challenges involved in the design and implementation of a dialog-based tutoring system (DBT) ranging from domain engineering to natural language classification and eventually instantiating an adaptive, personalized dialog strategy. These issues are magnified when implementing such a system at scale and across domains. In this paper, we describe and reflect on the design, methods, decisions and assessments that led to the successful deployment of our AI driven DBT currently being used by several hundreds of college level students for practice and self-regulated study in diverse subjects like Sociology, Communications, and American Government. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|