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Education data systems do not always maximize the use of interoperability standards that would<br />

enable easy and secure sharing of information with educators, schools, districts, states, students,<br />

and their families. As a result, educators are missing out on significant opportunities to use<br />

data to improve and personalize learning. With improved educational data systems, leaders can<br />

leverage aggregate data to improve the quality and effectiveness of technology-enabled learning<br />

tools and resources.<br />

For example, it is now possible to gather data during formative and summative assessments<br />

that can be used to create personalized digital learning experiences. In addition, teachers can<br />

use these data to inform interventions and decisions about how to engage individual students;<br />

personalize learning; and create more engaging, relevant, and accessible learning experiences for<br />

all learners.<br />

Assessment data can be made available directly to students. When they have access to their<br />

data, students can play a larger role in choosing their own learning pathways. 8 The data also<br />

can be made available to family members so students’ advocates can play a more active role<br />

in supporting their children’s education. Moreover, data can be used to support teachers’<br />

efforts—individually or in teams, departments, or schools—to improve professional practice<br />

and learning. 9 For personalized learning systems to reach their full potential, data systems and<br />

learning platforms should include seamless interoperability with a focus on data security and<br />

issues related to privacy.<br />

In many cases, pre-service teaching candidates do not receive sufficient instruction on understanding<br />

and using data. At the same time, in-service teachers can benefit from ongoing professional<br />

development on the integration of technology to enhance their teaching. According to the<br />

Data Quality Campaign, as of February 2014, just 19 states included the demonstration of data<br />

literacy skills as a requirement for teacher licensure. 10 Although data from technology-based<br />

assessments and data systems hold great potential, they are meaningful only when educators use<br />

them effectively. Teachers deserve ongoing support to strengthen their skills in how to use data<br />

to meet the needs of students better.<br />

Addressing these challenges will take a three-pronged approach: (1) preparing and supporting<br />

educators in realizing the full potential of using assessment data, (2) encouraging the development<br />

of data assessment tools that are more intuitive and include visualizations that clearly<br />

indicate what the data mean for instruction, and (3) ensuring the security and privacy of student<br />

data within these systems.<br />

For a more complete discussion of student data safety and privacy, see Section 5: Infrastructure.<br />

How Technology Transforms Assessment<br />

Technology can help us imagine and redefine assessment in a variety of ways. These tools<br />

can provide unobtrusive measurements for learners who are designing and building products,<br />

conducting experiments using mobile devices, and manipulating parameters in simulations.<br />

Problems can be situated in real-world environments, where students perform tasks, or include<br />

multi-stage scenarios that simulate authentic, progressive engagement with the subject matter.<br />

Teachers can access information on student progress and learning throughout the school day,<br />

which allows them to adapt instruction to personalize learning or intervene to address particular<br />

learning shortfalls. The unique attributes of technology-based assessments that enable these<br />

activities include the following.<br />

OFFICE OF Educational Technology<br />

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