Work

Mining Gap-fill Questions from Tutorial Dialogues.

Year: 2014

Type: article

Source: Educational Data Mining

Authors: Nobal B. Niraula, Vasile Rus, Dan Ştefănescu, Arthur C. Graesser

Institution: University of Memphis

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W2576661608

FWCI: 0.735

Cites: 11

Cited by: 4

Related to: 10