DocumentCode
2001389
Title
Learning Theories in Computer Science Education
Author
Quevedo-Torrero, Jesüs Ubaldo
Author_Institution
Dept. of Comput. Sci., Univ. of Wisconsin-Parkside, WI
fYear
2009
fDate
27-29 April 2009
Firstpage
1634
Lastpage
1635
Abstract
College instruction may be primarily concerned in most cases with the content of their academic lessons, and not very much with their instructional delivery. However, the effective application of learning theories in higher education has an impact on student performance. This paper surveys the applicability of constructivism, cognitive information processing and behaviorism in computer science education. However, student success in learning computer science theory is not limited to only those three learning theories. In general, research findings suggest that effective computer science instruction involves the design of cognitive models that facilitate retrieval, and a consistent application of positive reinforcement.
Keywords
cognition; computer science education; human factors; information retrieval; teaching; behaviorism; cognitive information processing; computer science education; computer science theory learning; constructivism; information retrieval; positive reinforcement; teaching; Application software; Computer science; Computer science education; Drives; Educational institutions; Information processing; Information retrieval; Random access memory; Read only memory; Read-write memory; behaviorism; computer science education;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-3770-2
Electronic_ISBN
978-0-7695-3596-8
Type
conf
DOI
10.1109/ITNG.2009.294
Filename
5070879
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