ERIC Number: ED335224
Record Type: RIE
Publication Date: 1991-Apr
Reference Count: N/A
Exploratory Problem Solving with a Graphing Application: Semi-automated Analysis of Student Performance Data.
Jackson, David F.
The ability of the microcomputer to compile voluminous and detailed measures of students' learning activities automatically has seemingly outpaced the ability of commonly-used data analysis methods to make effective utilization of this wealth of potentially useful information. This study explores the use of computer-based quantitative methods, including sequence comparison and cluster analysis, to explore the learning behavior of high school students using computer software during assigned classroom problem-solving exercises that involve data analyses through graphing. Behavioral sequence data, that is, steps used in the individual student's solution process, were recorded automatically for a very large sample of high school students, along with extensive anecdotal observations and unstructured interviews during the course of normal classroom activities. The most noteworthy result was an indication of the overall persistence and resourcefulness of the students, in that the percentage using unorthodox, yet effective, approaches to solving the graphing problems was unexpectedly high. (32 references) (JJK)
Descriptors: Cluster Analysis, Computer Assisted Instruction, Computer Graphics, Data Analysis, Data Interpretation, High Schools, Interviews, Learning Strategies, Mathematics Education, Mathematics Instruction, Multivariate Analysis, Participant Observation, Problem Solving, Qualitative Research, Secondary School Mathematics, Student Evaluation
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: Sequential Analysis
Note: Paper presented at the Annual Meeting of the National Association for Research in Science Teaching (Lake Geneva, WI, April 7-10, 1991).