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

by: Alex Kuhn, Brenna McNally, Shannon Schmoll, Clara Cahill, Wan T. Lo, Chris Quintana, Ibrahim Delen
In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (2012), pp. 3061-3070, doi:10.1145/2208636.2208719  Key: citeulike:11334563

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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.


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