Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Source
Grantee Submission | 2 |
Author
Graesser, Arthur C. | 2 |
Cai, Zhiqiang | 1 |
Chen, Su | 1 |
Fang, Ying | 1 |
Gatewood, Jessica | 1 |
Greenberg, Daphne | 1 |
Lippert, Anne | 1 |
Lippert, Anne M. | 1 |
Pavlik, Philip, Jr. | 1 |
Shi, Genghu | 1 |
Shubeck, Keith | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Canada (Toronto) | 1 |
Georgia (Atlanta) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Woodcock Johnson Tests of… | 1 |
What Works Clearinghouse Rating
Lippert, Anne; Gatewood, Jessica; Cai, Zhiqiang; Graesser, Arthur C. – Grantee Submission, 2019
One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Adult Literacy, Skill Development
Shi, Genghu; Lippert, Anne M.; Shubeck, Keith; Fang, Ying; Chen, Su; Pavlik, Philip, Jr.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2018
Reading comprehension is often assessed by having students read passages and administering a test that assesses their understanding of the text. Shorter assessments may fail to give a full picture of comprehension ability while more thorough ones can be time consuming and costly. This study used data from a conversational intelligent tutoring…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Adults, Accuracy