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Radwin, David; Hensley, Elisabeth – College Board Advocacy & Policy Center, 2012
The implementation of the Common Core State Standards (CCSS) over the coming years will provide an opportunity for K-12 and postsecondary educators to share and use data effectively to support alignment between the sectors and reduce the need for remedial education. This brief describes how these groups can work together to make the most of data…
Descriptors: Elementary Secondary Education, State Standards, Alignment (Education), Incidence

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

Sumrall, William J.; Halpin, Regina F. – Science Scope, 2000
Discusses teaching display and presentation skills by incorporating it into an interdisciplinary computer, math, and science lesson on graphing and collecting data which reinforces problem-solving skills and develops students' abilities to graph and interpret data. (ASK)
Descriptors: Computer Uses in Education, Data Collection, Data Interpretation, Data Processing
Creighton, Theodore B. – 2000
Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…
Descriptors: Administrator Education, Data, Data Analysis, Data Collection

Bernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing
Martorella, Peter H. – 1984
Six dimensions of computer literacy for social studies educators to address are discussed. In preparing social studies teachers for the 21st century, educators need to determine which aspects of computer literacy are essential to incorporate into teacher education. First, teachers must have knowledge of the basic sources of information, such as…
Descriptors: Communication Skills, Computer Assisted Instruction, Computer Literacy, Computer Managed Instruction