Title :
How does collaboration affect algorithm learning? A case study using TRAKLA2 algorithm visualization tool
Author :
Rajala, Teemu ; Salakoski, Tapio ; Kaila, Erkki ; Laakso, Mikko-Jussi
Author_Institution :
Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
Abstract :
Algorithm visualization tools can potentially be used to help novices to learn the abstract concepts of algorithms and data structures. Still, the methods of using such tools must be carefully considered. We conducted a study to find out if the TRAKLA2 algorithm visualization tool can be used to teach these concepts effectively. Moreover, we wanted to find out if there is a difference in learning when students use the tool in collaboration with another student. Students participated in a two-hour lab session, where half of them used the tool independently, and the other half in collaboration with a peer. We found out, that using the tool had a substantial effect on the learning outcome for both groups. However, the collaborative use did not have any additional effect on the learning.
Keywords :
computer science education; data structures; data visualisation; groupware; TRAKLA2 algorithm visualization tool; algorithm learning; collaboration; data structures; Automatic programming; Collaboration; Collaborative tools; Collaborative work; Data structures; Data visualization; Education; Educational programs; Information technology; Programming profession; Algorithm visualization; automatic assessment; collaboration; immediate feedback; programming education;
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
DOI :
10.1109/ICETC.2010.5529489