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
Graphs | 3 |
Mathematics Instruction | 3 |
Teaching Methods | 3 |
Topology | 3 |
College Mathematics | 2 |
Geometric Concepts | 2 |
Mathematics | 2 |
Problem Solving | 2 |
Academic Achievement | 1 |
Academic Persistence | 1 |
Affective Behavior | 1 |
More ▼ |
Author
Andrews, Peter | 1 |
Hoensch, Ulrich A. | 1 |
Mavrikis, Manolis, Ed. | 1 |
McLaren, Bruce M., Ed. | 1 |
Pardos, Zachary, Ed. | 1 |
Stamper, John, Ed. | 1 |
Publication Type
Journal Articles | 2 |
Collected Works - Proceedings | 1 |
Guides - Classroom - Teacher | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 2 |
Elementary Education | 1 |
Grade 6 | 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
Hoensch, Ulrich A. – College Mathematics Journal, 2009
We explore how curvature and torsion determine the shape of a curve via the Frenet-Serret formulas. The connection is made explicit using the existence of solutions to ordinary differential equations. We use a paperclip as a concrete, visual example and generate its graph in 3-space using a CAS. We also show how certain physical deformations to…
Descriptors: Equations (Mathematics), Calculus, Geometric Concepts, Mathematics Instruction

Andrews, Peter – American Mathematical Monthly, 1988
Given is a proof on the classification of surfaces that involves some simple graph theory. It could serve as an introduction to some methods of modern differential topology. (MNS)
Descriptors: College Mathematics, Geometric Concepts, Graphs, Higher Education
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