Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Benjamin D. Nye | 3 |
Arthur C. Graesser | 2 |
Xiangen Hu | 2 |
Aaron Shiel | 1 |
Anirudh Mittal | 1 |
Daniel Auerbach | 1 |
Ibrahim Burak Olmez | 1 |
Jason Latta | 1 |
Yasemin Copur-Gencturk | 1 |
Publication Type
Reports - Evaluative | 3 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Benjamin D. Nye; Aaron Shiel; Ibrahim Burak Olmez; Anirudh Mittal; Jason Latta; Daniel Auerbach; Yasemin Copur-Gencturk – Grantee Submission, 2021
Despite the critical role of teachers in the educational process, few advanced learning technologies have been developed to support teacher-instruction or professional development. This lack of support is particularly acute for middle school math teachers, where only 37% felt well prepared to scaffold instruction to address the needs of diverse…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Faculty Development, Abstract Reasoning
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – International Journal of Artificial Intelligence in Education, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence