Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 5 |
Descriptor
Author
Graesser, Arthur C. | 5 |
Greenberg, Daphne | 4 |
Chen, Su | 3 |
Fang, Ying | 3 |
Cai, Zhiqiang | 2 |
Frijters, Jan C. | 2 |
Lippert, Anne | 2 |
Shi, Genghu | 2 |
Frijters, Jan | 1 |
Hu, Xiangen | 1 |
Miller, Christine | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Adult Education | 4 |
Adult Basic Education | 1 |
Elementary Education | 1 |
Audience
Practitioners | 1 |
Location
Canada (Toronto) | 1 |
Georgia (Atlanta) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Woodcock Johnson Tests of… | 2 |
What Works Clearinghouse Rating
Greenberg, Daphne; Miller, Christine; Graesser, Arthur C. – Adult Literacy Education, 2023
This article is written by two researchers and a teacher involved with the development and implementation of a web-based intelligent tutoring system for adults reading at elementary levels. A description of the tool is provided, followed by some of the challenges faced in designing, developing, and using the tool in adult literacy classrooms.
Descriptors: Intelligent Tutoring Systems, Adult Students, Adult Basic Education, Reading Comprehension
Shi, Genghu; Wang, Lijia; Zhang, Liang; Shubeck, Keith; Peng, Shun; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2021
Adult learners with low literacy skills compose a highly heterogeneous population in terms of demographic variables, educational backgrounds, knowledge and skills in reading, self-efficacy, motivation etc. They also face various difficulties in consistently attending offline literacy programs, such as unstable worktime, transportation…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Adult Students, Reading Comprehension
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – International Journal of Artificial Intelligence in Education, 2022
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Classification, Reading Comprehension, Accuracy
Chen, Su; Fang, Ying; Shi, Genghu; Sabatini, John; Greenberg, Daphne; Frijters, Jan; Graesser, Arthur C. – Grantee Submission, 2021
This paper describes a new automated disengagement tracking system (DTS) that detects learners' maladaptive behaviors, e.g. mind-wandering and impetuous responding, in an intelligent tutoring system (ITS), called AutoTutor. AutoTutor is a conversation-based intelligent tutoring system designed to help adult literacy learners improve their reading…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Attention, Adult Literacy
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2021
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Comprehension