DocumentCode
2642836
Title
Pre-college electrical engineering instruction: do abstract or contextualized representations promote better learning?
Author
Moreno, Roxana ; Reisslein, Martin ; Ozogul, Gamze
Author_Institution
Univ. of New Mexico, Albuquerque, NM, USA
fYear
2009
fDate
18-21 Oct. 2009
Firstpage
1
Lastpage
6
Abstract
Pre-college students were randomly assigned to learn about electrical circuit analysis with an instructional program that included two problem solving practice conditions. In the first condition, students learned to solve parallel circuit problems that were contextualized around real electrical devices and represented with realistic diagrams. In the second condition, students learned to solve the same problems except that they were de-contextualized and represented with abstract diagrams. To measure learning, students were given near and far transfer problem solving tests. In addition, students´ learning perceptions were measured using a program-rating survey that included three subscales: overall program usefulness, problem representation usefulness, and perceived cognitive load. Students who learned with abstract problems produced higher scores on the near transfer test and made better problem representations during problem solving than those who learned with contextualized problems. The contextualized group gave marginally higher ratings for the program representation usefulness. The findings suggest that abstract electrical circuit representations promote better learning because they facilitate thinking about a variety of problem contexts.
Keywords
educational aids; educational technology; engineering education; network analysis; abstract electrical circuit; abstract problem; contextualized representation; electrical circuit analysis; pre college electrical engineering instruction; program rating survey; Batteries; Circuit testing; Control systems; Educational institutions; Electric resistance; Electrical engineering; Engineering education; Mathematical model; Problem-solving; Radio control; Abstract representation; Cognitive learning theory; Contextualized representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 2009. FIE '09. 39th IEEE
Conference_Location
San Antonio, TX
ISSN
0190-5848
Print_ISBN
978-1-4244-4715-2
Electronic_ISBN
0190-5848
Type
conf
DOI
10.1109/FIE.2009.5350640
Filename
5350640
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