• TUCS Publication Series
• How to Publish in TUCS Series
• Publication Search
• Publication Graph
• Publication Input
• Publication Input Guide
• JuFo Browser

Analyzing Engagement Taxonomy In Collaborative Algorithm Visualization

Niko Myller, Mikko-Jussi Laakso, Ari Korhonen, Analyzing Engagement Taxonomy In Collaborative Algorithm Visualization. In: Hughes Janet, Peiris Ramanee, Tymann Paul (Eds.), Proceedings of the 12th Annual Conference on Innovation and Technology in Computer Science Education, 251–255, ACM Press, 2007.

Abstract:

More collaborative use of visualizations is taking place in the classrooms due to the introduction of pair programming and collaborative learning as teaching and learning methods. This introduces new challenges to the visualization tools, and thus, research and theory to support the development of collaborative visualization tools is needed. We present an empirical study in which the learning outcomes of students were compared when students were learning in collaboration and using materials which contained visualizations on different engagement levels. Results indicate that the level of engagement has an effect on students' learning results although the difference is not statistically significant. Especially, students without previous knowledge seem to gain more from using visualizations on higher engagement level.

BibTeX entry:

@INPROCEEDINGS{inpMyLaKo07a,
  title = {Analyzing Engagement Taxonomy In Collaborative Algorithm Visualization},
  booktitle = {Proceedings of the 12th Annual Conference on Innovation and Technology in Computer Science Education},
  author = {Myller, Niko and Laakso, Mikko-Jussi and Korhonen, Ari},
  editor = {Janet, Hughes and Ramanee, Peiris	 and Paul, Tymann},
  publisher = {ACM Press},
  pages = {251–255},
  year = {2007},
}

Belongs to TUCS Research Unit(s): Learning and Reasoning Lab

Publication Forum rating of this publication: level 1

Edit publication