Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Arithmetic | 3 |
| Fractions | 3 |
| Mastery Learning | 3 |
| Child Development | 2 |
| Context Effect | 2 |
| Educational Environment | 2 |
| Learning Processes | 2 |
| Mathematics Education | 2 |
| Textbook Bias | 2 |
| Bayesian Statistics | 1 |
| Computer Simulation | 1 |
| More ▼ | |
Author
| Siegler, Robert S. | 2 |
| Braithwaite, David | 1 |
| Braithwaite, David W. | 1 |
| Im, Soo-Hyun | 1 |
| Im, Soo-hyun | 1 |
| Maclellan, Christopher J. | 1 |
| Zhang, Qiao | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Siegler, Robert S.; Im, Soo-Hyun; Braithwaite, David – New Directions for Child and Adolescent Development, 2020
Although almost everyone agrees that the environment shapes children's learning, surprisingly few studies assess in detail the specific environments that shape children's learning of specific content. The present article briefly reviews examples of how such environmental assessments have improved understanding of child development in diverse…
Descriptors: Child Development, Mathematics Education, Textbook Bias, Fractions
Siegler, Robert S.; Im, Soo-hyun; Braithwaite, David W. – Grantee Submission, 2020
Although almost everyone agrees that the environment shapes children's learning, surprisingly few studies assess in detail the specific environments that shape children's learning of specific content. The present article briefly reviews examples of how such environmental assessments have improved understanding of child development in diverse…
Descriptors: Child Development, Mathematics Education, Textbook Bias, Fractions
Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems

Peer reviewed
Direct link
