Title | ||
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How students find, evaluate and utilize peer-collected annotated multimedia data in science inquiry with zydeco |
Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.1145/2207676.2208719 | CHI |
Keywords | Field | DocType |
smartphone app,scientific inquiry,audio note,annotated data,tablet app,peer-collected data,scientific explanation,annotated multimedia data,science inquiry,data interpretation,unfiltered data,mobile computer,mobile computing | Mobile computing,Panning (camera),World Wide Web,Computer science,Data interpretation,Human–computer interaction,Multimedia,Learner centered design | Conference |
Citations | PageRank | References |
10 | 0.67 | 13 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alex Kuhn | 1 | 58 | 7.03 |
Brenna McNally | 2 | 78 | 9.20 |
Shannon Schmoll | 3 | 42 | 3.72 |
Clara Cahill | 4 | 48 | 5.37 |
Wan-Tzu Lo | 5 | 25 | 2.37 |
Chris Quintana | 6 | 214 | 36.25 |
Ibrahim Delen | 7 | 10 | 1.01 |