Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Computation | 3 |
| Correlation | 3 |
| Pattern Recognition | 3 |
| Academic Achievement | 1 |
| Achievement Rating | 1 |
| Adolescents | 1 |
| Anxiety | 1 |
| Arithmetic | 1 |
| Assignments | 1 |
| Automation | 1 |
| Behavior Change | 1 |
| More ▼ | |
Author
| Berg, Cynthia A. | 1 |
| Blikstein, Paulo | 1 |
| Borriello, Giulia A. | 1 |
| Butner, Jonathan | 1 |
| Cooper, Steven | 1 |
| Fyfe, Emily R. | 1 |
| Grenell, Amanda | 1 |
| Koller, Daphne | 1 |
| Moore, Kyler | 1 |
| Piech, Chris | 1 |
| Sahami, Mehran | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Utah | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Borriello, Giulia A.; Grenell, Amanda; Vest, Nicholas A.; Moore, Kyler; Fyfe, Emily R. – Child Development, 2023
This study examined repeating and growing pattern knowledge and their associations with procedural and conceptual arithmetic knowledge in a sample of U.S. children (N = 185; M[subscript age] = 79.5 months; 55% female; 88% White) and adults (N = 93; M[subscript age] = 19.5 years; 62% female; 66% White) from 2019 to 2020. Three key findings emerged:…
Descriptors: Mathematics Instruction, Pattern Recognition, Prediction, Correlation
Butner, Jonathan; Story, T. Nathan; Berg, Cynthia A.; Wiebe, Deborah J. – Multivariate Behavioral Research, 2011
Temporal patterning in blood glucose (BG) consistent with fractals--how BG follows a repetitive pattern through resolutions of time--was used to examine 2 different samples of adolescents with Type 1 diabetes (10-14 years). Sample 1 contained 10 adolescents with longtime series for accurate estimations of long-term dependencies associated with…
Descriptors: Diabetes, Adolescents, Geometric Concepts, Computation
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses

Peer reviewed
Direct link
