Understanding Children's Comprehension of Visual Displays of Complex Information
Developing students' ability to interpret the vast amount of quantitative data they encounter on a daily basis has become a major task for today's educators. However, very little attention has been given to students' strategies of analyzing multivariate data. This study investigated h...
| Veröffentlicht in: | Journal of Science Education and Technology. - Springer Science + Business Media. - 11(2002), 4, Seite 333-346 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2002
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| Zugriff auf das übergeordnete Werk: | Journal of Science Education and Technology |
| Schlagworte: | multivariate data problem-solving middle school students visual displays Applied sciences Business Mathematics Education Biological sciences Social sciences |
| Zusammenfassung: | Developing students' ability to interpret the vast amount of quantitative data they encounter on a daily basis has become a major task for today's educators. However, very little attention has been given to students' strategies of analyzing multivariate data. This study investigated how students interpret and analyze multivariate data organized in tables and the nature of external visual displays that they tend to create and use for this purpose. Ten middle school students were asked to think aloud while solving five problems demanding an analysis of data organized in tables. The students were then interviewed. Results indicated that (1) students based their conclusions on only part of the data; (2) students did not use either efficient or sufficient visual representations; (3) students did not apply mathematical operations efficiently; and (4) students referred to or built a context to the problem. The results of the current research may assist educators to design efficient curricula while being aware of and taking into account (1) students' difficulties in employing previously learned mathematical devices to analyze data, (2) students' skills in choosing appropriate and efficient visual representations to present and interpret the data, and (3) strategies employed by students in analyzing multivariate data. |
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| ISSN: | 15731839 |