Computer Supported Collaborative Science (CSCS) is a teaching methodology that uses collaborative web-based resources to engage all learners in the collection, analysis, and interpretation of individual data in the context of whole-class data. CSCS fosters scientific inquiry by using collaborative online resources to assess prior knowledge, collect and analyze student ideas, data, and comments, and provides instructors the opportunity to perform continuous formative assessments to inform and reform their own instruction. CSCS turns hands-on classroom activities into more authentic scientific experiences -- shifting the focus from cookbook data collection to thoughtful data analysis.
The CSUN CSCS Team
- Norman Herr, Science & Technology Education
- Brian Foley, Technology and Science Education
- Mike Rivas, Science & Technology Education
- Matthew d'Alessio, Geology
- Henk Postma, Physics
- Tae Chang, Education
- Gini Vandergon, Biology
- John Reveles, Science & Math Education
- Dorothy Nguyen-Graff, Chemistry
- Kelly Castillo, doctoral student, CSUN
- Marty Tippens, doctoral student, CSUN
Computer Supported Collaborative Science (CSCS)
The CSUN CSCS project is supported by grants from Hewlett Packard, Google, 3M, the California Science Project, and the California Math Science Technology Initiative.