Using Collaborative Web-Based Docs to Instantly Collect and Analyze Whole-Class Data;  CyTSE, Berkeley, CA; 2/11

• Intro (Rivas)

• CyTSE survey | Results | (example First-Day of School Questionnaire)

• Intro (Rivas);  Notes (Foley)

• Collaborative activities

  • Collaborative drawing - traits | (example Seating Charts)

  • Genetic traits | Results

  • Quickwrite  | Quickwrite (example)

  • Western Geology | Collaborative Photos & Maps

• Collaborative experiments

  • Dihybrid Genetics lab - survey - results - photos

  • Reaction time - survey - results

  • Density / Buoyancy - results

• Collaborative websites

  • Wiki-Presentations/comments (example Fall 2010)

  • Wiki-Notes (Computers in Instruction)

  • Student websites (Student Websites)

• CSCS - Results (Foley)

• CSCS - collaborative grant writing

Using Collaborative Web-Based Documents to Instantly

Collect and Analyze Whole-Class Data 

Norman Herr, Mike Rivas, Brian Foley

Department of Secondary Education

California State University, Northridge

CSCS | Collaborative Investigations

Abstract: New 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. Teachers can learn to use tools like Google Docs & Sites to turn traditional science labs into student-centered inquiry.  Computer Supported Collaborative Science (CSCS) helps teachers create a classroom environment that mirrors the collaborative environment of a professional scientific community.  Teachers will create laboratory activities in which students analyze whole-class data using wikis and collaborative spreadsheets, and work with peers to reach consensus and produce collaborative reports on their conclusions.  These activities help students gain an understanding that the scientific enterprise requires collaboration, independent verification, and peer review. In this workshop, participants are introduced to a range of collaborative web-based activities in which they collect and analyze data submitted by their colleagues.