DocumentCode
595991
Title
How does academic preparation influence how engineering students solve problems?
Author
Grigg, S.J. ; Benson, L.C.
Author_Institution
Dept. of Eng. & Sci. Educ., Clemson Univ., Clemson, SC, USA
fYear
2012
fDate
3-6 Oct. 2012
Firstpage
1
Lastpage
6
Abstract
In first year engineering courses, students possess a wide range of academic preparation such as their exposure to various mathematics courses and pre-engineering programs. Additionally, students bring perceptions about their abilities, and have already begun practicing preferred methods of analysis and documentation. Understanding how students with different backgrounds develop problem solving skills in first year engineering programs is of critical importance in order to close achievement gaps between diverse populations. This study examines how students solve engineering problems and identifies variations based on student factors of gender, ethnicity, mathematics preparation and achievement, and prior engineering experience. Solutions for three problems from 27 students were analyzed (n = 68 solutions). Students worked out problems using custom-designed software that digitally records ink strokes and allows researchers to associate codes to the problem solution at any point, even in portions of the problem solution that would not have been available without the use of this technology, such as in erased work. Differences in how students solve problems were assessed based on the prevalence (or absence) of elements and errors in the problem solving process, which were evaluated using task analysis. Results indicated that pre-engineering experience did not have a significant impact on successfully solving problems; however, having completed a calculus course was significantly related to successful problem solving. Future research will expand the study population to a larger sample of first year engineering students across multiple semesters, identifying key strategies that are absent for students with low mathematics preparation, and to investigate relationships between prior academic preparation and indicators of metacognition.
Keywords
educational courses; engineering education; mathematics; academic preparation; custom-designed software; digitally records ink strokes; engineering courses; engineering problems; engineering students; ethnicity; gender factors; mathematics courses; mathematics preparation; metacognition; preengineering experience; preengineering programs; Calculus; Engineering students; Frequency measurement; Problem-solving; Sociology; Statistics; academic preparation; first year engineering; problem solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference (FIE), 2012
Conference_Location
Seattle, WA
ISSN
0190-5848
Print_ISBN
978-1-4673-1353-7
Electronic_ISBN
0190-5848
Type
conf
DOI
10.1109/FIE.2012.6462445
Filename
6462445
Link To Document