NDLI: How does collaboration affect algorithm learning? A case study using TRAKLA2 algorithm visualization tool

Content Provider	IEEE Xplore Digital Library
Author	Rajala, T. Salakoski, T. Kaila, E. Laakso, M.-J.
Copyright Year	2010
Description	Author affiliation: Department of Information Technology, University of Turku and TUCS, Finland (Rajala, T.; Salakoski, T.; Kaila, E.; Laakso, M.-J.)
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.
File Size	925927
File Format	PDF
ISBN	9781424463671
e-ISBN	9781424463701
DOI	10.1109/ICETC.2010.5529489
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Educational programs Automatic programming Collaborative tools programming education Algorithm visualization Data structures Information technology Programming profession immediate feedback Education Collaboration Data visualization collaboration Collaborative work automatic assessment
Content Type	Text
Resource Type	Article

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