Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Learning Processes | 2 |
Middle School Students | 2 |
Sequential Learning | 2 |
Classification | 1 |
Comparative Analysis | 1 |
Computation | 1 |
Curriculum Development | 1 |
Data Analysis | 1 |
Data Collection | 1 |
Foreign Countries | 1 |
Grade 8 | 1 |
More ▼ |
Author
Biswas, Gautam | 1 |
Carolyn Staudt | 1 |
Emily Hoffman | 1 |
Kinnebrew, John S. | 1 |
Meredith Bruozas | 1 |
Nanette I. Marcum-Dietrich | 1 |
Rachel Becker-Klein | 1 |
Segedy, James R. | 1 |
Ye, Cheng | 1 |
Publication Type
Reports - Research | 2 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
Audience
Location
Canada | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Nanette I. Marcum-Dietrich; Meredith Bruozas; Rachel Becker-Klein; Emily Hoffman; Carolyn Staudt – Journal of Science Education and Technology, 2024
The Precipitating Change Project was a 5-year development, implementation, and research study of an innovative 4-week middle school curricular unit in computational weather forecasting that integrates students' learning and use of meteorology and computational thinking (CT) concepts and practices. The project produced a list of CT skills and…
Descriptors: Indigenous Populations, Grade 8, Middle School Students, Urban Areas
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior