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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
Callison, Daniel; Haycock, Gloria – Educational Technology, 1988
Describes a methodology for student involvement in courseware evaluation and for utilizing student reactions in purchasing and implementation decisions. The evaluation forms used in a survey of 2,308 Indiana students are presented, and the results of that survey are discussed. (18 references) (CLB)
Descriptors: Computer Assisted Instruction, Courseware, Data Interpretation, Elementary Secondary Education
Michelau, Demaree – Western Interstate Commission for Higher Education, 2006
This issue of Policy Insights draws on findings from WICHE's report Accelerated Learning Options: Moving the Needle on Access and Success, to lay out some of the important policy issues that decision makers might consider when adopting new state policy related to accelerated learning or modifying policies already in existence. The publication…
Descriptors: Psychoeducational Methods, Data Interpretation, Acceleration (Education), Student Attitudes
Papalewis, Rosemary – 1990
This paper explores the common elements identified as context variables that may effect student evaluation of instruction, and presents literature from sociology, anthropology, and linguistics that offers renewed challenges to researchers in this area of data interpretation. The common context variables that are seen as effecting student…
Descriptors: Context Effect, Data Interpretation, Ethnic Bias, Higher Education
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Whitin, David – Social Studies and the Young Learner, 1993
Asserts that no attitude is more detrimental to democratic values than blind allegiance to numerical data. Maintains that children must challenge and debate numerical data. Includes examples of data collection and activities designed to encourage students to be skeptical about numerical information. (CFR)
Descriptors: Class Activities, Classroom Environment, Data Interpretation, Democratic Values
Greenwald, Anthony G. – 1996
Higher education relies on student ratings to evaluate faculty teaching, partly because the alternatives (expert peer appraisals or objective performance criteria) are costly or unavailable. Because student ratings are crucial not only to improving instruction, but also in making or breaking faculty careers, it is important to assure that they…
Descriptors: Course Evaluation, Course Selection (Students), Data Interpretation, Grade Inflation
Lehman, Penny W.; And Others – 1992
The Community College Student Experiences Questionnaire (CCSEQ) is an instrument designed to determine how community college students spend their time and what quality of effort they put into learning. Specifically, the content of the questionnaire focuses on four elements: who students are and why they are at the college; how extensively and…
Descriptors: College Environment, Community Colleges, Comparative Analysis, Data Collection
Hungerford, Harold R.; And Others – 1992
Middle school and high school students need to develop many skills in order to investigate environmental issues and know the basics of citizenship action strategies. This student guide is designed to teach students how to investigate and evaluate environmental issues and actions. The guide is presented in six modules. Module 1 introduces the…
Descriptors: Data Collection, Data Interpretation, Environmental Education, Inquiry
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van Reeuwijk, Martin – Mathematics Teacher, 1992
Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Educational Change