Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Coding | 2 |
| Statistical Analysis | 2 |
| Statistical Distributions | 2 |
| African American Students | 1 |
| At Risk Students | 1 |
| Attention | 1 |
| Bias | 1 |
| Cognitive Processes | 1 |
| Correlation | 1 |
| Data Collection | 1 |
| Decoding (Reading) | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Education | 1 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Cognitive Assessment System | 1 |
| Raven Progressive Matrices | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textMahapatra, Shamita – Journal of Education and Practice, 2015
A group of 50 skilled readers and a group of 50 less-skilled readers of Grade 5 matched for age and intelligence and selected on the basis of their proficiency in reading comprehension were tested for their competence in word reading and the processes of attention, simultaneous coding, successive coding and planning at three levels, i.e.,…
Descriptors: Foreign Countries, Reading Achievement, Grade 5, Elementary School Students
Direct linkTicknor, Cindy S.; Shaw, Kimberly A.; Howard, Timothy – Journal of College Reading and Learning, 2014
Many institutions struggle to develop a meaningful way to assess the effectiveness of drop-in tutorial services provided to students. This article discusses the development of a data collection system based on a visitor sign-in system that proved to be an efficient method of gathering assessment data, including frequency of visits, end-of-course…
Descriptors: Tutoring, Instructional Effectiveness, Data Collection, Efficiency
