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Buser, Peter; Semmler, Klaus-Dieter – Journal of Learning Analytics, 2017
These pages aim to explain and interpret why the late Mika Seppälä, a conformal geometer, proposed to model student study behaviour using concepts from conformal geometry, such as Riemann surfaces and Strebel differentials. Over many years Mika Seppälä taught online calculus courses to students at Florida State University in the United States, as…
Descriptors: Geometry, Student Behavior, Mathematical Models, Graphs
Best, Mareike; Bikner-Ahsbahs, Angelika – ZDM: The International Journal on Mathematics Education, 2017
This paper is about the development of a task sequence to help overcome the fragmented understanding of the "function" concept that students often bring with them into the initial stage of upper secondary school level. Our aim is to make the students' use of functions more flexible in certain respects, for example when functions are…
Descriptors: Secondary School Students, Task Analysis, Mathematical Concepts, Mathematical Models
Caprotti, Olga – Journal of Learning Analytics, 2017
This paper describes investigations in visualizing logpaths of students in an online calculus course held at Florida State University in 2014. The clickstreams making up the logpaths can be used to visualize student progress in the information space of a course as a graph. We consider the graded activities as nodes of the graph, while information…
Descriptors: Online Courses, Calculus, Markov Processes, Graphs
Akoglu, Leman – ProQuest LLC, 2012
Large real-world graph (a.k.a network, relational) data are omnipresent, in online media, businesses, science, and the government. Analysis of these massive graphs is crucial, in order to extract descriptive and predictive knowledge with many commercial, medical, and environmental applications. In addition to its general structure, knowing what…
Descriptors: Networks, Graphs, Data, Mathematics
CASE, C. MARSTON – 1966
THIS PAPER IS CONCERNED WITH GRAPHIC PRESENTATION AND ANALYSIS OF GROUPED OBSERVATIONS. IT PRESENTS A METHOD AND SUPPORTING THEORY FOR THE CONSTRUCTION OF AN AREA-CONSERVING, MINIMAL LENGTH FREQUENCY POLYGON CORRESPONDING TO A GIVEN HISTOGRAM. TRADITIONALLY, THE CONCEPT OF A FREQUENCY POLYGON CORRESPONDING TO A GIVEN HISTOGRAM HAS REFERRED TO THAT…
Descriptors: Charts, Data Analysis, Geometry, Graphs
Peer reviewedMandell, Marvin B.; Bretschneider, Stuart I. – Evaluation Review, 1984
The authors demonstrate how exponential smoothing can play a role in the identification of the intervention component of an interrupted time-series design model that is analogous to the role that the sample autocorrelation and partial autocorrelation functions serve in the identification of the noise portion of such a model. (Author/BW)
Descriptors: Data Analysis, Evaluation Methods, Graphs, Intervention
Peer reviewedHubert, Lawrence – Psychometrika, 1973
The intent of this paper is to generalize the min and max clustering procedures in such a way that the assumption of a symmetric similarity measure is unnecessary. (Author)
Descriptors: Algorithms, Cluster Analysis, Data Analysis, Evaluation Methods
Peer reviewedBarr, Aiala; Sichel, Herbert S. – Journal of the American Society for Information Science, 1991
Discussion of models for library circulation data highlights a new statistical prediction model that creates a flexible regression curve. Linear graphs that result from previous models are discussed, bivariate discrete distributions are explained, and graphs that show library circulation for one year at a time are presented. (nine references) (LRW)
Descriptors: Correlation, Data Analysis, Graphs, Library Circulation
Peer reviewedWasserman, Stanley; Pattison, Philippa – Psychometrika, 1996
The Markov random graphs of O. Frank and D. Strauss (1986) and the estimation strategy for these models developed by Strauss and M. Ikeda (1990) are promising contributions. This paper describes a large class of models that can be used to investigate structure in social networks and illustrates their use. (SLD)
Descriptors: Data Analysis, Estimation (Mathematics), Graphs, Markov Processes
Brandenburg, Richard K.; Simpson, William A. – 1983
The way that graphs can be used to make calculations that are commonly used by institutional researchers is described using specific examples, and the technique of constructing computational graphs (and nomographs) is outlined. It is shown that once a calculation involving several variables has been represented by a computation diagram or a…
Descriptors: College Planning, Computation, Data Analysis, Diagrams
Peer reviewedBarrett, Gloria; And Others – Mathematics Teacher, 1988
A fairly traditional precalculus problem is modified to address some common concerns with the teaching of problem solving. Areas of problem solving which are illustrated include: posing the problem; modeling the problem; transforming the data; and examining the solution. (PK)
Descriptors: Data Analysis, Data Collection, Graphs, Mathematical Applications
Peer reviewedFishman, Joseph – Mathematics Teacher, 1993
Suggests ways in which mathematical models can be presented and developed in the classroom to promote discussion, analysis, and understanding of issues related to energy consumption. Five problems deal with past trends and future projections of availability of a nonrenewable resource, natural gas. (Contains 13 references.) (MDH)
Descriptors: Data Analysis, Graphs, Integrated Activities, Interdisciplinary Approach
Peer reviewedErickson, Timothy E. – Mathematics Teacher, 2001
Describes an activity in which students use data analysis and mathematical modeling to obtain insight into a geometrical question. Explores a simple case of the isoperimetric inequalities. (KHR)
Descriptors: Computer Uses in Education, Concept Formation, Data Analysis, Geometry
Peer reviewedScheaffer, Richard L. – Mathematics Teacher, 1990
Outlines differences between classical statistics and exploratory data analysis. Provides examples in the use of the exploratory techniques. (YP)
Descriptors: Data Analysis, Evaluation Methods, Graphs, Mathematical Models
Graham, Alan T.; Thomas, Michael O. J. – International Journal for Technology in Mathematics Education, 2005
Statistical data can be represented in a number of qualitatively different ways, the choice depending on the following three conditions: the concepts to be investigated; the nature of the data; and the purpose for which they were collected. This paper begins by setting out frameworks that describe the nature of statistical thinking in schools, and…
Descriptors: Investigations, Statistical Data, Statistics, Mathematics Education
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