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Peer reviewedBunton, Matt – Science Teacher, 2003
Uses graphs to involve students in inquiry-based population investigations on the Wisconsin gray wolf. Requires students to predict future changes in the wolf population, carrying capacity, and deer population. (YDS)
Descriptors: Biology, Endangered Species, Graphs, High Schools
Peer reviewedBuck, Judy Curran – Mathematics Teacher, 2000
Emphasizes the commonalities among classes of polynomial functions. Provides exploratory activities for students as well as a teacher's guide. (KHR)
Descriptors: Graphs, Interdisciplinary Approach, Mathematical Applications, Mathematics Activities
Peer reviewedAspinwall, Leslie; Shaw, Kenneth L. – Mathematics Teacher, 2002
Illustrates the contrasting thinking processes of two beginning calculus students' geometric and analytic schemes for the derivative function. Suggests that teachers can enhance students' understanding by continuing to demonstrate how different representations of the same mathematical concept provide additional information. (KHR)
Descriptors: Calculus, Graphs, Learning Strategies, Mathematics Instruction
Peer reviewedHenry, Gary T., Ed. – New Directions for Evaluation, 1997
This theme issue is an attempt to improve graphical production by evaluators. The graphs that are described are solutions to problems in communicating evaluation findings. Eleven chapters and a conclusion discuss common and recurring problems for graphs for discovery or presentation, and for evaluators or evaluation audiences. (SLD)
Descriptors: Evaluation Methods, Evaluation Problems, Evaluation Utilization, Evaluators
Peer reviewedCohn, Elchanan; Cohn, Sharon; Balch, Donald C.; Bradley, James, Jr. – Journal of Economic Education, 2001
Tests the effects on student performance when using graphs as part of a University of South Carolina (Columbia) principles of economics lecture. Finds in 1995 that students in the lecture with graphs had significantly lower gain scores than those in the no-graphs lecture. Finds no significant difference in 1997. (RLH)
Descriptors: College Curriculum, Economics Education, Graphs, Higher Education
Peer reviewedBillings, Esther M. H.; Lakatos, Tracy – Mathematics Teaching in the Middle School, 2003
Presents an activity, "Lisa's Lemonade Stand," that actively engages students in algebraic thinking as they analyze change by investigating relationships between variables and gain experience describing and representing these relationships graphically. (YDS)
Descriptors: Algebra, Graphs, Lesson Plans, Mathematics Activities
Peer reviewedJohnson, Iris DeLoach – Mathematics Teaching in the Middle School, 2000
Uses a Calculator-Based Ranger and a graphing calculator in problem-solving mode to introduce an exploration of graphing-related concepts including intercepts, slopes, and rate of change. (YDS)
Descriptors: Educational Technology, Graphing Calculators, Graphs, Mathematics Activities
Peer reviewedTelese, James A.; Abete, Jesse, Jr. – Mathematics Teaching in the Middle School, 2002
Describes the implementation of a real-world context focused on teaching proportional reasoning. (YDS)
Descriptors: Graphs, Mathematics Activities, Mathematics Instruction, Middle Schools
Peer reviewedLambdin, Diana V.; Lynch, R. Kathleen; McDaniel, Heidi – Mathematics Teaching in the Middle School, 2000
Describes a series of lessons in which 6th grade students explore notions of rates of change and their effect on the shapes of graphs. Addresses aspects of the algebra content standard for the middle grades. (YDS)
Descriptors: Algebra, Graphs, Mathematical Applications, Mathematics Activities
Peer reviewedHiggins, Norman – TechTrends, 1989
Reviews evaluation standards that are used to assess the quality of projected graphical displays, and discusses their use in evaluating graphs created with computer graphing programs. Design standards for projected graphs are explained, and examples of three types of graphs are shown. (four references) (LRW)
Descriptors: Computer Graphics, Computer Software, Design Requirements, Evaluation Criteria
Peer reviewedManning, Alan D. – Journal of Technical Writing and Communication, 1989
Discusses the meanings of the terms "table,""graph, "chart" and "diagram" in relation to four types of technical graphics. Describes the appropriate use of each graphics type in relation to the uses of other graphic types, and illustrates the kind of information each type most effectively represents. (KEH)
Descriptors: Communication Research, Graphic Arts, Graphs, Information Management
Peer reviewedKauffman, Louis H. – American Mathematical Monthly, 1988
A diagrammatic approach to invariants of knots is the focus. Connections with graph theory, physics, and other topics are included, along with an explanation of how proofs of some old conjectures about alternating knots emerge from this work. (MNS)
Descriptors: College Mathematics, Diagrams, Graphs, Higher Education
Peer reviewedFrei, H. P.; Stieger, D. – Information Processing & Management, 1995
Highlights semantic links and shows how the semantic content of hypertext links can be used for information retrieval. Discussion includes indexing and retrieval algorithms that exploit link content and node content; retrieval strategies exploiting semantic links, including conventional retrieval and constrained spreading activation techniques;…
Descriptors: Algorithms, Experiments, Graphs, Hypermedia
Peer reviewedGlanzel, W.; Schubert, A. – Information Processing & Management, 1995
A statistical model for citation processes is presented as a particular version of a nonhomogenous birth process. The mean value function and special transition probabilities, which can readily be calculated on the basis of known and estimated parameters, give essential information on the change of citation impact in time. (10 references) (KRN)
Descriptors: Bibliometrics, Citation Analysis, Graphs, Mathematical Models
Peer reviewedO'Connell, James – Physics Teacher, 1995
Explores strategies in the situation of a runner trying to evade a tackler on a football field. Enables the student to test intuitive strategies in a familiar situation using simple graphical and numerical methods or direct experimentation. (JRH)
Descriptors: Graphs, Motion, Physics, Problem Solving


