Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| Grantee Submission | 2 |
Author
| Brian Freeman | 1 |
| Cai, Zhiqiang | 1 |
| Cockroft, Jody L. | 1 |
| Copland, Cameron | 1 |
| E. C. Hedberg | 1 |
| Folsom-Kovarik, Jeremiah T. | 1 |
| Graesser, Arthur C. | 1 |
| Hampton, Andrew J. | 1 |
| Hu, Xiangen | 1 |
| Sandra Jo Wilson | 1 |
Publication Type
| Information Analyses | 1 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
Audience
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns

Peer reviewed
Direct link
