Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 8 |
Descriptor
Data Processing | 45 |
Mathematics Instruction | 45 |
Statistics | 14 |
Mathematics Activities | 12 |
Middle Schools | 10 |
Problem Solving | 9 |
Elementary School Mathematics | 8 |
Elementary Secondary Education | 8 |
Computer Assisted Instruction | 7 |
Elementary Education | 7 |
Teaching Methods | 7 |
More ▼ |
Source
Author
Avci, Esat | 1 |
Basile, Carole G. | 1 |
Blackwell, Sarah | 1 |
Blagdanic, Casandra | 1 |
Blaine, Lee | 1 |
Bridges, Linda | 1 |
Bright, George W. | 1 |
Brinkworth, Peter | 1 |
Chambless, Martha S. | 1 |
Chance, Beth | 1 |
Chia, David T. | 1 |
More ▼ |
Publication Type
Education Level
Junior High Schools | 5 |
Middle Schools | 5 |
Secondary Education | 5 |
Elementary Education | 1 |
Grade 6 | 1 |
Higher Education | 1 |
Intermediate Grades | 1 |
Postsecondary Education | 1 |
Audience
Teachers | 23 |
Practitioners | 21 |
Laws, Policies, & Programs
Elementary and Secondary… | 1 |
Elementary and Secondary… | 1 |
Job Training Partnership Act… | 1 |
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Luiz Rodrigues; Filipe Dwan Pereira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Seiji Isotani; Diego Dermeval; Rafael Mello – Education and Information Technologies, 2024
Intelligent Tutoring Systems (ITS) have been widely used to enhance math learning, wherein teacher's involvement is prominent to achieve their full potential. Usually, ITSs depend on direct interaction between the students and a computer. Recently, researchers started exploring handwritten input (e.g., from paper sheets) aiming to provide…
Descriptors: Intelligent Tutoring Systems, Handwriting, Equal Education, Access to Education
Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil – Grantee Submission, 2016
In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…
Descriptors: Intelligent Tutoring Systems, Data, Randomized Controlled Trials, Electronic Learning
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Avci, Esat; Coskuntuncel, Orkun – Pegem Journal of Education and Instruction, 2019
The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…
Descriptors: Middle School Teachers, Mathematics Teachers, Teacher Attitudes, Computer Uses in Education
Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
Stapel, Martin; Zheng, Zhilin; Pinkwart, Niels – International Educational Data Mining Society, 2016
The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…
Descriptors: Teaching Methods, Academic Achievement, Electronic Learning, Mathematics Instruction
Koparan, Timur – International Journal of Mathematical Education in Science and Technology, 2015
The purpose of this study is to define teacher views about the difficulties in learning and teaching middle school statistics subjects. To serve this aim, a number of interviews were conducted with 10 middle school maths teachers in 2011-2012 school year in the province of Trabzon. Of the qualitative descriptive research methods, the…
Descriptors: Statistics, Teaching Methods, Barriers, Learning Problems
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

Hunt, 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

Nordmoe, 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

Strutchens, Marilyn E. – Mathematics Teaching in the Middle School, 1999
Presents an activity using national achievement data to involve students in a project on data collection and statistics while learning about their attitudes toward and beliefs about mathematics. This activity presents a good opportunity to talk about various interpretations of data and allows students to examine and discuss their attitudes about…
Descriptors: Data Interpretation, Data Processing, Mathematics Activities, Mathematics Instruction
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
Prince, J. D. – 1969
The initial purpose of using the Suppes-Stanford CAI Mathematics Drill-and-Practice Program in the McComb, Mississippi, schools was to determine its practicality in a district remote from the developers of the program. It has been found that a significant educational difference exists between groups of children who received computer-assisted…
Descriptors: Arithmetic, Computer Assisted Instruction, Data Processing, Elementary School Mathematics

Morita, June G. – Mathematics Teaching in the Middle School, 1999
Presents a hands-on activity in which students use the tools to derive the basic procedure used by wildlife biologists worldwide for estimating the sizes of wildlife populations. Helps students gain the feelings of power and ownership of a statistical method that they derive themselves. (ASK)
Descriptors: Data Analysis, Data Processing, Estimation (Mathematics), Mathematical Applications

Basile, 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