文章基本信息

标题：Comparing Learning Performance of Students Using Algorithm Visualizations Collaboratively on Different Engagement Levels
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作者：Mikko-Jussi Laakso ; Niko Myller ; Ari Korhonen 等
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2009
卷号：12
期号：02
页码：267-267–282
出版社：IFETS - Attn Kinshuck
摘要：In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the visualization tools for collaborative learning. We present an empirical study, in which learning materials containing visualizations on different Extended Engagement Taxonomy levels were compared, when students were collaboratively learning concepts related to binary heap. In addition, the students’ activities during the controlled experimental study were also recorded utilizing a screen capturing software. Pre- and post-tests were used as the test instruments in the experiment. No statistically significant differences were found in the post-test between the randomized groups. However, screen capturing and voice recording revealed that despite the randomization and instructions given to the students, not all of the students performed on the engagement level, to which they were assigned. By regrouping the students based on the monitored behavior, statistically significant differences were found in the total and pair average of the post-test scores. This confirms some of the hypothesis presented in the (Extended) Engagement Taxonomy.
关键词：hm visualization, Algorithm simulation, collaborative learning, Engagement taxonomy