Promoting Grit, Tenacity, and Perseverance - U.S. Department of ...
Promoting Grit, Tenacity, and Perseverance - U.S. Department of ...
Promoting Grit, Tenacity, and Perseverance - U.S. Department of ...
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Draft<br />
Ethical Considerations for New Types <strong>of</strong> Personal Data<br />
As new forms <strong>of</strong> measurement emerge <strong>and</strong> new types <strong>of</strong> personal data become available, the<br />
field must also deal with critical ethical considerations. Of course, privacy is always a concern,<br />
especially when leveraging data available in the “cloud” that users may or may not be aware is<br />
being mined. However, another emergent concern is the consequences <strong>of</strong> using new types <strong>of</strong><br />
personal data in new ways. Learners <strong>and</strong> educators have the potential to get forms <strong>of</strong> feedback<br />
about their behaviors, emotions, physiological responses, <strong>and</strong> cognitive processes that have never<br />
been available before. Measurement developers must carefully consider the impacts <strong>of</strong> releasing<br />
such data, sometimes <strong>of</strong> a sensitive nature, <strong>and</strong> incorporate feedback mechanisms that are<br />
valuable, respectful, <strong>and</strong> serve to support productive mindsets.<br />
Moving Forward<br />
The development <strong>of</strong> valid <strong>and</strong> reliable measures will be an important factor as we exp<strong>and</strong> the<br />
capacity to design <strong>and</strong> evaluate learning environments that promote <strong>and</strong>/or teach, grit, tenacity,<br />
<strong>and</strong> perseverance. In this chapter, we explored the many purposes <strong>of</strong> such measurement <strong>and</strong> how<br />
they may contribute to these goals, <strong>and</strong> the range measurement approaches—both current <strong>and</strong> on<br />
the horizon. While there a strong foundation <strong>of</strong> work already done in this area, there are<br />
important next steps for the field. Some <strong>of</strong> the most promising new directions are educational<br />
data mining <strong>and</strong> affective computing. The method <strong>of</strong> evidence-centered design can help<br />
measurement designers build strong validity arguments as we advance measurement <strong>of</strong> these<br />
complex variables.<br />
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