DocumentCode :
147520
Title :
Improving undergraduate students programming skills through Collaborative Adversarial Pair Learning
Author :
Swamidurai, Rajendran
Author_Institution :
Dept. of Math. & Comput. Sci., Alabama State Univ., Montgomery, AL, USA
fYear :
2014
fDate :
13-16 March 2014
Firstpage :
1
Lastpage :
4
Abstract :
Collaborative learning has been used extensively in undergraduate education to improve learning for all students. To improve performance in computer science courses, our study incorporated a new, although related, pedagogical approach entitled Collaborative-Adversarial Pair Learning (CAPL). The CAPL employs a software development technique called Collaborative-Adversarial Pairs (CAP) to teach computer science courses. We have demonstrated that CAP is effective in helping engineers discover software requirements. It seems a natural extension to use the techniques of CAP to help students discover concepts in computer science. In this paper, we describe the design and implementation of a CAPL model for a computer programming course (Software Engineering I), and then present the results of an evaluation of the model when compared to traditional instruction in Software Engineering I.
Keywords :
computer aided instruction; computer science education; educational courses; groupware; programming; software engineering; teaching; CAPL; collaborative adversarial pair learning; collaborative-adversarial pair learning; collaborative-adversarial pairs; computer programming course; computer science course teaching; computer science courses; pedagogical approach; software development technique; software engineering; software requirements; undergraduate education; undergraduate students programming skills; Computational modeling; Computers; Standards; Collaborative learning; collaborative programming; pair programming; peer review;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SOUTHEASTCON 2014, IEEE
Conference_Location :
Lexington, KY
Type :
conf
DOI :
10.1109/SECON.2014.6950673
Filename :
6950673
Link To Document :
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