Teaching and Learning about Graphing through Computer-Assisted Problem Solving: Issues in the Design and Interpretation of Graphs, the Design and Use of Educational Software, and Classroom Research Methodology.

Autor/inn/en	Jackson, David F.; und weitere
Titel	Teaching and Learning about Graphing through Computer-Assisted Problem Solving: Issues in the Design and Interpretation of Graphs, the Design and Use of Educational Software, and Classroom Research Methodology.
Quelle	(1990), (131 Seiten)Verfügbarkeit
Beigaben	Tabellen
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
Schlagwörter	Tagungsbericht; Computer Assisted Instruction; Computer Graphics; Computer Software; Computer Software Development; Computer Uses in Education; Data Analysis; Graphs; Mathematical Concepts; Mathematical Formulas; Mathematics Skills; Multiple Regression Analysis; Secondary Education; Secondary School Mathematics + Suchen Sie Ihr Suchwort? Computer based training; Computerunterstützter Unterricht; Computergrafik; Computernutzung; Auswertung; Grafische Darstellung; Mathematische Formel; Mathmatics achievement; Mathematics ability; Mathematische Kompetenz; Sekundarbereich
Abstract	Recent research has demonstrated the promise of graphing software as an aid to teaching graphs in two content areas: line graphs of aspects of motion and graphs of algebraic functions. This study attempted to generalize the idea of computer-assisted graphing to include the use of several kinds of graphs to solve a wider range of problems. A unit on graphical data analysis comprising seven class sessions was developed for secondary school students. Three sessions were devoted to didactic teaching aimed at familiarizing the students (1) with reading and using graphs and (2) with the capabilities of the software. Three sessions were devoted to guided practice in graphical data analysis in the context of problem sets. The final class session was devoted to a paper-and-pencil, free-response test, designed to correspond to the task environment similar to that of the computer problem-solving sessions. The research methodology consisted of observations of students' work and spontaneous interviews. The graphing software included a facility which automatically recorded behavioral trace data of the students' actions during the problem solving sessions. Student data were analyzed in two major ways: sequence matching and pattern matching; results of the analysis are presented in detail. Titles of the individual papers in this set are as follows: "Teaching the Design and Interpretation of Graphs through Computer-Aided Graphical Data Analysis" (B. J. Edwards, D. F. Jackson, C. F. Berger); "The Design of Software Tools for Meaningful Learning by Experience" (Jackson, Edwards, Berger); and "Using Technology To Interpret Large-Scale Complexity: The Use of Scientific Sequence Analysis Algorithms in Research on Computer-Assisted Problem Solving" (Jackson, Berger). (Author/YP)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01