| State Profiles |
| 2021 Data Quality Institute |
| Perkins State Plans and Data Explorer |
| Entrepreneurship Education Resources |
New data are available! Visit the State Profiles to find 2019-20 CTE student enrollment results, funding distributions, and State determined performance levels for core indicators.
Visit the State Profiles to learn more.
Join OCTAE staff and State CTE Directors from October 5 to October 19 for our annual Data Quality Institute (DQI) focused on supporting the use of data in comprehensive local needs assessments (CLNAs).
Visit the event details to learn more.
Conduct customized searches of States’ Perkins V State plans, covering FY 2020-23, and annual enrollment and performance data under Perkins V and its predecessor Perkins IV.
Visit the Perkins State Plans and Data Explorer to learn more.
Interest in entrepreneurship, or starting one's own business, is on the rise in the United States. This overview of resources on entrepreneurship education includes information on state leadership to advance entrepreneurship education, federal government resources related to entrepreneurship education, and non-profit organizations that support entrepreneurship education.
The Department of Education recently released for public comment the Information Collection Request (ICR) for the Consolidated Annual Report (CAR) for the Carl D. Perkins Career and Technical Education Act of 2006 as amended by the Strengthening Career and Technical Education for the 21st Century Act (Perkins V). We are proposing to revise the ICR to remove the option to report enrollment and performance data via the EDFacts system, amend the Fiscal Responsibility section of the Narrative Performance Report to collect additional data about subgrants and their recipients, and to make clarifying changes to some instructions.
. Continue reading| Data Quality Institute - Perkins 101 |
| Data Quality Institute - Connect Session |
| Data Quality Institute - Session 1: Data-Driven Decision Making |
| Data Quality Institute - Session 2: Using Labor Force Data |
| Data Quality Institute - Session 3: Equity Gap Analysis |