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©2010 The Greaves Group, The Hayes Connection, One-to-One Institute

ese principal components were then loaded and adjusted to build models that were predictive of the Project RED education success measures. Eleven dependent variables make up the education success measures: • Disciplinary action rate • Dropout rate • Paperwork reduction • Paper and copying expenses • Teacher attendance • High-stakes test scores • AP course enrollment • College attendance plans • Course completion rates • Dual/joint enrollment in college • Graduation rates For the purposes of this study, we limited our predictive modeling analysis to the following four education success measures: • Disciplinary action reduction • Graduation rate improvement

Appendix B: Research Methodology and Data Analysis

While two of the four measures were not applicable for elementary or middle schools, we felt that their importance in the national conversation merited this attention. e relatively high percentage of schools with a 1:1 student-computer ratio in the Project RED sample provided an important variable for which we needed to control. Twenty-five percent of Project RED respondents were from 1:1 schools, while only 2% of the general population has a student-computer ratio that low. e load on the student-computer ratio variable was therefore rebalanced. e principal components were then reloaded, and models for the four education success measures were recreated. However, the same nine key implementation factors (KIFs) were found to be predictive in both models (see Chapter 3): 1. Intervention classes. Technology is integrated into every class period. 2. Change management leadership by principal. Leaders provide time for teacher professional learning and collaboration at least monthly. 3. Online collaboration. Students use technology daily for online collaboration (games/simulations and social media). 4. Core subjects. Technology is integrated into core curriculum weekly or more frequently.

• High-stakes test scores improvement

5. Online formative assessments. Assessments are done at least weekly.

• Dropout rate reduction

6. Student-computer ratio. Lower ratios improve outcomes. 7. Virtual field trips. With more frequent use, virtual trips are more powerful. e best schools do these at least monthly. 8. Search engines. Students use daily. 9. Principal training. Principals are trained in teacher buy-in, best practices, and technology-transformed learning.


Projectred thetechnolgyfactor  
Projectred thetechnolgyfactor