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Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning

Collyer, 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

Stimson, John; Stimson, Ardyth – Teaching Sociology, 1978
Considers the use of personal information given by students to teach about understanding and appreciation of data analysis in college sociology courses. Students are directed to describe their personal style by a five step process: simple measurement of personal characteristics, recoding and indexing, quantifying a dimension, discussing recoding…
Descriptors: Data Analysis, Data Collection, Higher Education, Learning Activities

Taylor, 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

Claus, 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

Guyton, 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

Finkelstein, 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

Feely, Ted, Jr. – Social Education, 1975
The data pool is a teaching technique that can help students to bridge the gap between facts and higher levels of thinking. Teaching suggestions for use of data pools are offered in this article. (Author/JR)
Descriptors: Data, Data Analysis, Learning Activities, Productive Thinking

Brahier, 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

Engelhardt, Leah; Giese, James – Social Education, 1989
Shows how census data illustrated in pie charts, bar graphs, line graphs, and a map can be used in teaching students to read and interpret large amounts of information about the community, state, and country. Provides examples from "An Advance Look at the 1990 Census" (World Eagle) and suggests activities and discussion questions. (LS)
Descriptors: Census Figures, Charts, Citizenship Education, Data Collection

Hitch, Chris; Armstrong, Georganna – Arithmetic Teacher, 1994
Presents four sets of activities to develop the concepts of data analysis and graphing. Students estimate sample populations using beans, examine graphs from newspapers and magazines, predict the most popular color of cars, and simulate quality control in a manufacturing process. (MDH)
Descriptors: Concept Formation, Data Analysis, Data Collection, Data Interpretation
O'Connell, Susan R. – 1997
Glyphs, a way of representing data pictorially, are a new way for elementary students to collect, display, and interpret data. This book contains a number of glyph activities that can be used as creative educational tools for grades 1-3. Each glyph has three essential construction elements: the glyph survey (the questions that are asked), the…
Descriptors: Communication Skills, Data Analysis, Data Interpretation, Elementary Education

Van Cleaf, David W. – Social Education, 1985
A child's immediate environment provides an ideal data source for initial mapping experiences. How teachers can help pre-school and primary school children make block maps, picture maps, and drawn maps is discussed. (RM)
Descriptors: Cartography, Data, Data Collection, Data Interpretation

Young, Sharon L. – Arithmetic Teacher, 1991
Presents a series of activities using data collection and interpretation techniques designed for levels 1-8, 1-5, 3-6, and 4-8 that integrate mathematics and social studies through the common theme of television viewing. Includes an activity sheet for parents to use with their children, three class-activity sheets, and a data sheet. (MDH)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Elementary Education

Brown, Ken – Mathematics in School, 1986
Describes investigations involving data acquisition and analysis using microcomputers running the LOGO programing language. Provides new primitives to add to LOGO to access information from the analog to digital converter of a BBC microcomputer, giving samples of student results. (JM)
Descriptors: Computers, Data Analysis, Data Collection, Geometry