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Destination Known

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Getting Implementation Right<br />

To deliver on this set of recommendations in a high-quality way, states will need to<br />

attend to a number of important implementation issues.<br />

• DEFINITIONS<br />

States need to implement a rigorous and ongoing process to define the critical terms found in the recommended<br />

measures, such as which pathways “lead to a credential of value” to the state’s workforce, what jobs are in a “high-skill,<br />

high-demand field,” and what entails a meaningful “Learning and Leadership experience.” Each of these terms will be<br />

shaped by the unique context of the state. Postsecondary education and industry must be involved in developing and<br />

refining these definitions over time.<br />

• VALIDATION OF QUALITY<br />

Verifying that a student’s performance or experience is both rigorous and meaningful for preparation is essential.<br />

This validation will likely need to come from outside the K-12 system. Higher education and business are the ultimate<br />

validators of whether a student is ready, and thus they should play a pivotal role in defining quality. Validation is<br />

especially important for measurement categories one through three. Without validation from outside the K-12 system,<br />

the measures may not hold value.<br />

• TIMELINE<br />

The timeline for action will vary from state to state. Movement from reporting to accountability must be based on the<br />

state’s comfort with the quality of data in each performance category.<br />

• PERFORMANCE EXPECTATIONS<br />

States need to balance the rigor of expecting all students to be postsecondary and career ready with the reality that we<br />

are far from that goal. States would likely find it helpful to set realistic targets for school performance and increase them<br />

over time.<br />

Collecting and reporting high-quality data is also a fundamental component for<br />

success. There are a host of issues that states will need to address, including, at a<br />

minimum:<br />

üü<br />

üü<br />

üü<br />

üü<br />

üü<br />

üü<br />

üü<br />

Transition from self-report to individual student data<br />

Establish necessary new data agreements and new partnerships for collecting/sharing<br />

information to get individual student data<br />

Access informaton from employers and other external partners about student<br />

skill development.<br />

Develop and verify methods for measuring “professional” skills<br />

Define which industry-recognized credentials have value in the field and have an ongoing<br />

process for identification and validation<br />

Partner with industry to validate the state’s technical skills assessments<br />

Create a plan to obtain individual student data across state lines regarding enrollment<br />

in remediation, certification, apprenticeships, and employment, while ensuring proper<br />

student privacy protections are in place.<br />

<strong>Destination</strong> <strong>Known</strong> | 35

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