Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 4 |
Descriptor
Source
| Grantee Submission | 4 |
Author
| Anthony Cuevas | 1 |
| Arthur C. Graesser | 1 |
| Benjamin D. Nye | 1 |
| Candace Walkington | 1 |
| Chenglu Li | 1 |
| LeaAnne Daughrity | 1 |
| Max Sherard | 1 |
| Nathan, Mitchell | 1 |
| Prajakt Pande | 1 |
| Swart, Michael | 1 |
| Theodora Beauchamp | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Secondary Education | 2 |
| High Schools | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Candace Walkington; Max Sherard; LeaAnne Daughrity; Prajakt Pande; Theodora Beauchamp; Anthony Cuevas – Grantee Submission, 2025
Unprecedented investments are being made in mathematics tutoring interventions for K-12 students, but results from these interventions are not always promising. Traditional online or distance math tutoring can treat learning as disembodied, and not give learners access to embodied resources like gestures, movements, and actions. Virtual Reality…
Descriptors: Affordances, Educational Benefits, Mathematics Instruction, Tutoring
Chenglu Li; Wanli Xing; Walter Leite – Grantee Submission, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Social Responsibility, Computer Mediated Communication, Group Discussion, Artificial Intelligence
Nathan, Mitchell; Walkington, Candace; Swart, Michael – Grantee Submission, 2021
Findings synthesized across five empirical laboratory- and classroom-based studies of high school and college students engaged in geometric reasoning and proof production during single- and multi-session investigations (346 participants overall) are presented. The findings converge on several design principles for computer technologies to support…
Descriptors: Geometry, Mathematics Instruction, High School Students, Undergraduate Students
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

Peer reviewed
Direct link
