Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Data Collection | 6 |
| Data Processing | 6 |
| Mathematics Instruction | 6 |
| Elementary Secondary Education | 3 |
| Mathematics Activities | 3 |
| Statistics | 3 |
| Data Analysis | 2 |
| Elementary School Mathematics | 2 |
| Graphs | 2 |
| Middle Schools | 2 |
| Problem Solving | 2 |
| More ▼ | |
Source
| Teaching Statistics | 2 |
| International Educational… | 1 |
| Mathematics Teaching in the… | 1 |
| Media and Methods | 1 |
| Teaching Children Mathematics | 1 |
Author
| Basile, Carole G. | 1 |
| Hunt, Gordon | 1 |
| Kapisovsky, Peggy M. | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Nordmoe, Eric | 1 |
| Pardos, Zachary, Ed. | 1 |
| Stamper, John, Ed. | 1 |
| Trezise, Kathleen A. | 1 |
Publication Type
| Journal Articles | 5 |
| Guides - Classroom - Teacher | 4 |
| Collected Works - Proceedings | 1 |
| Reports - Descriptive | 1 |
Education Level
| Elementary Education | 1 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
| Practitioners | 4 |
| Teachers | 4 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewedNordmoe, Eric – Teaching Statistics, 1998
Presents an outdoor activity requiring students to collect data and suggests some possible applications of the data. (ASK)
Descriptors: Data Collection, Data Processing, Mathematics Activities, Mathematics Instruction
Peer reviewedHunt, Gordon – Teaching Statistics, 1998
Describes an activity that engages pupils in the whole statistical process from collecting data to interpreting the results. Discusses the importance of these activities in developing knowledge, skills, understanding, and ability in problem solving. (Author/ASK)
Descriptors: Data Collection, Data Interpretation, Data Processing, Elementary Secondary Education
Peer reviewedBasile, Carole G. – Teaching Children Mathematics, 1999
Describes a process of data collection with young children using the outdoors as a mathematical context. The process of data collection and processing introduces children to more abstract mathematics as they sort and classify data, create graphs, compare datasets, examine patterns, and interpret graphical representations. (ASK)
Descriptors: Data Collection, Data Processing, Elementary Education, Elementary School Mathematics
Peer reviewedTrezise, Kathleen A. – Mathematics Teaching in the Middle School, 1998
Students receiving mathematics instruction relevant to life will understand that mathematics is part of the real world and not just another school subject. Presents an activity that integrates rational numbers with health-related science content as students collect data and engage in decision making. (ASK)
Descriptors: Data Collection, Data Processing, Elementary School Mathematics, Elementary Secondary Education
Kapisovsky, Peggy M. – Media and Methods, 1990
Discussion of science and math instruction for elementary and secondary students highlights the use of microcomputer-based laboratories (MBL). Data collection, storage, and display are discussed, the use of databases to organize and manage information is described, and the exchange of ideas with other students through telecommunications is…
Descriptors: Computer Assisted Instruction, Computer Networks, Data Analysis, Data Collection
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


