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Michael D. Eisner College of Education

COMPUTER SUPPORTED COLLABORATIVE LEARNING (CSCL)


(1) Why Analyze Data Whole-Class Data?

Collaborative web-based document technology provides the opportunity to instantly collect and analyze large sets of data from multiple lab groups and class sections with speed and accuracy. Curricular resources can be developed that employ this emerging technology to create a classroom environment that mirrors the collaborative environment of a professional research community. Students gain a better understanding of various aspects of the nature of science when they view their findings in the context of a larger set of data collected by their peers. By engaging in activities in which they analyze whole-class data using wikis and collaborative web-based documents, students gain an understanding that the research enterprise requires collaboration, independent verification, and peer review. To gain a conceptual understanding of the power of collaborative analysis of pooled data, please read the following two articles and watch the video. Although the examples are from science, they concepts can apply to any discipline. When you click on any Video link, you will be taken to a different website. After viewing the website, please click the back button in your browser to return to the course.

VIDEO - (20:58).

READINGS
Rivas, Mike and Norman Herr (2010) , January 7-10, Honolulu, Hawaii (pp. 851-858).

d 'Alessio, Matthew, and Loraine Lundquist (2013). t. The Physics Teacher, in press.

(2) Sample Collaborative Investigations

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(3) Copying & Adapting CSCS Lessons

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