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Demirci, Ömer; Ineç, Zekeriya Fatih – Acta Didactica Napocensia, 2023
This study aims to advance the development of the mathematical processing skills of students by suggesting the use of digital geography games. This includes an analysis of its contribution to the standard mathematics curriculum in areas such as data processing as well as its contribution to social studies curricula in areas such as map literacy,…
Descriptors: Video Games, Geography Instruction, Mathematics Education, Data Processing
Cox, Shawna; Gilary, Aaron; Simon, Dillon; Thomas, Teresa – National Center for Education Statistics, 2022
The National Center for Education Statistics (NCES) sponsors the National Teacher and Principal Survey (NTPS) on behalf of the U.S. Department of Education in order to collect data on public and private elementary and secondary schools in the United States. The NTPS is a large-scale, nationally representative sample survey of K-12 public and…
Descriptors: Teachers, Principals, Elementary Secondary Education, Administrators
Pangrazio, Luci; Selwyn, Neil – Pedagogy, Culture and Society, 2021
The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…
Descriptors: Data Collection, Data Analysis, Technology Uses in Education, Data Processing
Echon, Roger M. – Journal of Child Nutrition & Management, 2014
Purpose/Objectives: The purpose of this paper is to provide baseline data and characteristics of food served and consumed prior to the recently mandated nutrition standards as authorized by the Healthy, Hunger-Free Kids Act of 2010 (HHFKA). Methods: Over 600,000 school lunch menus with associated food production records from 61 elementary schools…
Descriptors: Lunch Programs, Food Service, Food Standards, Statistical Analysis
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Vander Does, Susan Lubow – ProQuest LLC, 2012
Teachers' observations of student performance in reading are abundant and insightful but often remain internal and unarticulated. As a result, such observations are an underutilized and undervalued source of data. Given the gaps in knowledge about students' reading comprehension that exist in formal assessments, the frequent calls for teachers'…
Descriptors: Reading Instruction, Reading Comprehension, Teacher Student Relationship, Observation
Chang, Chih-Kai; Chen, Gwo-Dong; Wang, Chin-Yeh – Behaviour & Information Technology, 2011
Functional roles may explain the learning performance of groups. Detecting a functional role is critical for promoting group learning performance in computer-supported collaborative learning environments. However, it is not easy for teachers to identify the functional roles played by students in a web-based learning group, or the relationship…
Descriptors: Foreign Countries, Elementary School Teachers, Middle School Teachers, Group Dynamics
Tourkin, Steven C.; Warner, Toni; Parmer, Randall; Cole, Cornette; Jackson, Betty; Zukerberg, Andrew; Cox, Shawna; Soderberg, Andrew – US Department of Education, 2007
This report serves as the survey documentation for the design and implementation of the 2003-04 Schools and Staffing Survey. Topics covered include the sample design, survey methodology, data collection procedures, data processing, response rates, imputation procedures, weighting and variance estimation, review of the quality of data, the types of…
Descriptors: Surveys, Questionnaires, Data Processing, Research Methodology
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