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What Works Clearinghouse Rating
Peer reviewedCollyer, Charles E. – Teaching of Psychology, 1983
Described are computer assisted instruction exercises designed by a college professor to help undergraduate psychology students acquire fundamental skills in data collection--recording the data, using tables and graphs, and recognizing functional relationships. (RM)
Descriptors: Computer Assisted Instruction, Data Analysis, Data Collection, Data Processing
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
National Council of Teachers of Mathematics, Inc., Reston, VA. – 1988
This publication is composed of documentation material and a user's guide for the software used in this course. The materials in this book are extracted from an introductory college mathematics course designed to prepare high school students who have completed Algebra 2 for the variety of mathematics courses encountered in college. The principal…
Descriptors: Computer Oriented Programs, Computer Software, Computer Uses in Education, Courseware
Peer reviewedMcClain, Kay – Mathematics Teaching in the Middle School, 1999
Addresses issues of students' understandings of representative values of data--how representative values should be introduced, and what role student understanding of representative values plays in their ability to analyze sets of data. Highlights the importance of teacher support of student development of conceptual understandings of multiple…
Descriptors: Data Analysis, Data Interpretation, Mathematics Activities, Mathematics Instruction
Peer reviewedBarbella, Peter – Mathematics Teacher, 1987
Presented are two examples including data sets for which calculating various elementary statistics will reveal something new about the data. The objective of these examples is to show the student what various statistics may reveal, or not reveal, about a given data set. (PK)
Descriptors: Data, Data Analysis, Mathematical Applications, Mathematics Education
Dana, Nancy Fichtman; Yendol-Silva, Diane – 2003
This how-to guide to classroom inquiry takes educators through the process step-by-step, from beginning to end, answering critical questions on developing the research plan, collecting and analyzing the data, and writing and publishing the results. Seven chapters include: (1) "Teacher Inquiry Defined" (e.g., what teacher inquiry is and how it…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Educational Research
Peer reviewedTaylor, Judith V. – Teaching Children Mathematics, 1997
Presents activities having to do with data generation, organization, interpretation, representation, drawing conclusions, and making predictions on the basis of data which students have collected. (ASK)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Elementary Education
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 reviewedClaus, Alison S. – Teaching Children Mathematics, 1996
Describes a school project to choose a mascot in which students learned about sampling and polls while collecting, organizing, and analyzing data. (MKR)
Descriptors: Data Analysis, Data Collection, Elections, Elementary Education
Peer reviewedGuyton, Edith M. – Social Education, 1985
One aspect of children's daily lives--the school itself--is often ignored as a source of readily available data for student activities. School-based research activities that require students to collect, organize, and interpret data are described. For example, students conduct research on how students travel to and from school?
Descriptors: Data, Data Collection, Data Interpretation, Elementary Education
Peer reviewedFinkelstein, Judy; And Others – Social Education, 1985
How museums have changed to accommodate young children is described, the importance of pre-visit preparations is discussed, and strategies and activities to enhance the concepts gained from museum experiences are presented. (RM)
Descriptors: Community Resources, Data, Data Collection, Data Interpretation
Peer reviewedGugerty, John J.; Crowley, Carol Berry – Journal for Vocational Special Needs Education, 1982
The authors present an informal assessment strategy format to aid teachers in meeting the needs of the handicapped student. The format includes an assessment sequence, how to analyze assessment results, and how to interpret results. (CT)
Descriptors: Data Analysis, Data Collection, Disabilities, Informal Assessment
Peer reviewedStrutchens, 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
Peer reviewedJohnson, Art – Mathematics Teaching in the Middle School, 1999
Presents different real-world mathematics activities on data display and data analysis with pie charts from different time periods. (ASK)
Descriptors: Charts, Data Analysis, Data Interpretation, Graphs
Peer reviewedBrahier, Anne F.; Brahier, Daniel J. – Teaching Children Mathematics, 1996
Students in grades three to four can collect, analyze, and represent data in order to determine which piece of playground equipment appears most popular. Students in grades five to six can investigate the geometry of playground structures using measurement and scale models. Lesson plans and reproducible worksheets are included. (CMS)
Descriptors: Data Analysis, Data Collection, Elementary Education, Learning Activities


