Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Mathematics Education | 3 |
Pattern Recognition | 3 |
Prediction | 3 |
Models | 2 |
Abstract Reasoning | 1 |
Academic Failure | 1 |
Archaeology | 1 |
Case Studies | 1 |
Curriculum Design | 1 |
Data Analysis | 1 |
Equations (Mathematics) | 1 |
More ▼ |
Author
Costa, Stella F. | 1 |
Diniz, Michael M. | 1 |
Kim, Sunae | 1 |
Nathan, Mitchell J. | 1 |
Sunal, Dennis W. | 1 |
Tracy, Dyanne M., Eds. | 1 |
Publication Type
Journal Articles | 3 |
Guides - Classroom - Teacher | 1 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Education Level
Higher Education | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Practitioners | 1 |
Teachers | 1 |
Location
Brazil | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Costa, Stella F.; Diniz, Michael M. – Education and Information Technologies, 2022
The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…
Descriptors: Prediction, Undergraduate Students, Mathematics Education, Models
Nathan, Mitchell J.; Kim, Sunae – Mathematical Thinking and Learning: An International Journal, 2007
Cross-sectional and longitudinal data from students as they advance through the middle school years (grades 6-8) reveal insights into the development of students' pattern generalization abilities. As expected, students show a preference for lower-level tasks such as "reading the data," over more distant predictions and generation of abstractions.…
Descriptors: Curriculum Design, Middle Schools, Graphs, Grade 6

Sunal, Dennis W.; Tracy, Dyanne M., Eds. – School Science and Mathematics, 1991
Two activities in which students use the human body to collect meaningful data that will be used symbolically in the form of sets of equations to search for patterns in nature are described. The mathematics and science concepts/skills, background information, objectives, lesson outline, and extensions are included. (KR)
Descriptors: Archaeology, Equations (Mathematics), Estimation (Mathematics), Human Body