1. Welcome ! Richard Culatta Deputy Director Office of Educational Technology @OfficeOfEdTech

2. Office of Educational Technology Special Education Elementary/Secondary Education Post-secondary Education Adult Education

3. Infrastructure Learning Assessment Teaching National Education Technology Plan

4. Quality How do we measure the quality of post- secondary education? How do we level the playing field so the most effective learning experience can rise to the top?

5. Access By 2025 263 million students will be ready to go to college. To meet this demand, we would have to open 4 universities (capable of serving 30,000 students) per week for the next fifteen years. Our current model is not scalable Source: UNESCO 2009 World Conference on Higher Education

6. Affordability Answer by year: 1990 = absolutely. 2000 = seems like a lot of money for a piece of paper… 2010 = can’t I get the same experience online for free? 2020 = no way. ≥ is year { }

7. Competency Based Learning Digital Content (MOOCs, LR, etc) Personalizing Learning Learning Analytics (Big Data) Some Important Trends

8. Learning Analytics Report

9. Accelerating Innovation

10. What is Innovation? Innovation Invention Baseline Scale Greater Impact Trend 10 product, process, strategy, or approach that improves significantly upon the status quo and reaches scale

11. R&D Cycle in Education is Broken Usage/Adoption Lack of incentives to use new approaches /resistance to change 8 Lack of capacity to transform methods of instruction 9 Research Lack of high-quality, coordinated, basic, applied and efficacy research and data 3 Slow, fragmented, relation- ship-driven buying process Deployment Lack of infrastructure and sector capacity (internal/external) 7 6 Lack of common standards and measures of effectiveness Inflexibility of funding dampens incentives to make leaps in performance 1 2 Regulation and Funding Artificially constrained market size and limited investment funding High development costs/ lack of standards for interoperability 4 Commercialization 5 Fundin g Regulation Efficacy Assess Use Acquire Integrate Service and support Create learning Develop delivery Market and sell Basic research Application (R&D) Transfer AERA/ASU

12. Innovation Clusters Examples from other industries What might this look like in education?

13. Innovation Clusters Examples from other industries What might this look like in education? Innovation Invention Baseline Scale Greater Impact Trend

14. Education Innovation Clusters Knowledge Sharing Platforms and Practices Are there processes and tools in place to share knowledge and resources among regional partners and with others? Common Metrics and Ongoing Evaluation Is there capacity to perform ongoing evaluation of the effectiveness of the cluster based on data captured from the learning environment? Are there common performance metrics across the cluster? Financial Support/Interest Is philanthropic or government funding available to support the cluster? Is investment capital available to support innovations? Next Generation Schools of Education Are there schools of education within the region that are preparing educators/scholars to implement and contribute to the new knowledge and solutions emerging from the cluster? Innovative Schools/Learning Environments Are there schools with the flexibility and infrastructure to implement new technologies? Will schools be instrumented capture process and performance data? Research Centers Is there capacity to conduct and synthesize basic and applied research and ongoing evaluation of solutions as they are developed and scaled? Will researchers have access to developers to help transfer and scale solutions? Entrepreneur Supports Are there start-up supports to help entrepreneurs launch and scale? Will new entrepreneurs and developers have access to researchers, test bed sites and users and educators for feedback? Design Centers Is there a design center to support researchers and entrepreneurs with the best known practices in human centered design?

15. Where are Innovation Clusters?

17. Using Data to Fuel Innovation Data about content Data about performance trends Data about individual performance

18. Learning Registry Enables sharing of information about digital learning resources To find useful resources, we have to share what we know and we have use what others share to us. Learning Registry allows this by enabling computer systems to share with each other. 20101022

19. Learning Registry

20. education.data.gov

21. MyData Ability for students to own their data in machine-readable format to create and maintain a personal learning profile “Google Takeout for education”

22. MyData – NSLDS

23. MyData Tools and services use the MyData files to help students plan better educational decisions

24. MyData – Next Steps Many vendors are willing to implement MyData but require permission from institutions. Ask your vendor to turn on MyData functionality. Vendors who are not yet implementing can easily do so. All technical information is available at MyDataDownload.org

25. Open Badges – What are They?

26. The “who would you hire” game: Has CS degree from university 4 senior Google developers rated examples of her code her code as 5+ Last month, 532 developers said she provided the best solution to resolving bugs in their iOS code

27. Possibilities for Higher Ed Allows students to only pay for college courses they need (flipped university?) Permits faculty to engage students in activities that allow them do demonstrate competency Allows students to show achievements to potential employers

28. October 9 th 2012, Washington DC

30. www.ConnectedEducators.org

31. Thanks ! Richard Culatta Deputy Director Office of Educational Technology @OfficeOfEdTech