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
Link To Document :
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