Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Classification | 2 |
| Comparative Analysis | 2 |
| Experiential Learning | 2 |
| Academic Achievement | 1 |
| Academic Persistence | 1 |
| Affective Behavior | 1 |
| Algebra | 1 |
| Asynchronous Communication | 1 |
| Behavior | 1 |
| Blended Learning | 1 |
| Blindness | 1 |
| More ▼ | |
Author
| Bigelow, Ann | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pardos, Zachary, Ed. | 1 |
| Stamper, John, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewedBigelow, Ann – Journal of Child Language, 1987
Examination of the first 50 words of three blind children revealed that the early vocabulary paralleled that of seeing children in terms of age and speed of acquisition. Differences between the two groups were related to factors which were highly influenced by experience (including visual experience). (Author/CB)
Descriptors: Blindness, Child Language, Classification, Comparative Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection


