How students find, evaluate and utilize peer-collected annotated multimedia data in science inquiry with zydeco

Authors:
Alex Kuhn;Brenna McNally;Shannon Schmoll;Clara Cahill;Wan-Tzu Lo;Chris Quintana;Ibrahim Delen
Affiliations:
University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2012

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Abstract

Scientific inquiry can be more authentic and meaningful to students when using personal and peer-collected data. The challenges of organizing and evaluating a potentially large amount of data can be overcome through the use of annotations (title, tags, and audio notes). We created Zydeco, a multi-component system that students use to collect annotated multimedia data from a museum (using a smartphone app), and then create a scientific explanation with their personal and peers' data (using a tablet app). We ran a classroom study with 54 students (ages 11-13) investigating how students searched for, evaluated, and used annotated data to construct a scientific explanation. We found that tags supported data interpretation, while title searching and panning through the unfiltered data set supported finding and using data.