Literaturnachweis - Detailanzeige
| Autor/inn/en | Kenney, Rachael; An, Tuyin; Kim, Sung-Hee; Uhan, Nelson A.; Yi, Ji Soo; Shamsul, Aiman |
|---|---|
| Titel | Linear Programming Models: Identifying Common Errors in Engineering Students' Work with Complex Word Problems |
| Quelle | In: International Journal of Science and Mathematics Education, 18 (2020) 4, S.635-655 (21 Seiten)Infoseite zur Zeitschrift
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| Zusatzinformation | ORCID (Kenney, Rachael) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1571-0068 |
| DOI | 10.1007/s10763-019-09980-5 |
| Schlagwörter | Programming; Error Patterns; Engineering Education; Word Problems (Mathematics); Problem Solving; Introductory Courses; Task Analysis; Taxonomy; Undergraduate Students; Mathematical Models |
| Abstract | In linear programming, many students find it difficult to translate a verbal description of a problem into a valid mathematical model. To better understand this, we examine the existing characteristics of college engineering students' errors across linear programming (LP) problems. We examined textbooks to identify the types of problems typically found in introductory linear programming courses. We then developed a comprehensive set of tasks and analyzed students' work to create a taxonomy of the errors and issues that students exhibited. From our findings, we define four categories of identified error types: (1) decision variable errors, (2) variable relationship errors, (3) notation errors, and (4) form errors. This study contributes to the research by investigating students' work in an area of undergraduate mathematics that has not been heavily explored before. Findings suggest specific areas of focus for future work in helping students develop their understanding of linear programming models and mathematical modeling in word problems in general. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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