WEBVTT

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[Music] Welcome to the overview
on Transforming Teaching

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and Learning Through Data.

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Although staff is aware of
the importance of using data,

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data use has not become part
of our school's culture.

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What is the most effective
way to encourage my teachers

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to use data to monitor
student progress regularly

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and make data-driven
instructional decisions?

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In our district, we
have collected a wealth

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of student achievement data from
multiple sources over the years.

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What system should we
use to manage the data

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so that my staff can have access
to the necessary data quickly?

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My principal just handed me
the state assessment data

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for my students.

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What are the best
ways to use the data

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to help me improve
my instruction

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and student learning?

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Who can work with me to
analyze my student data?

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My science teacher just graded

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and returned the midterm paper
we submitted a month ago.

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All she wrote on my paper is
a grade C. How can I improve

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my work?

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What do I need to do
to get an A next time?

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Administrators, teachers,
and students

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from around the country
have realized the importance

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of using data to inform their
decisions to improve instruction

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and learning and have
asked similar questions

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about effective data use.

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With the increasing
pressure from federal, state,

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and local accountability
policies

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to improve the academic
achievement of all students,

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data are playing a
more central role

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in how educators evaluate
their teaching practices

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and monitor students'
academic progress.

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Although more and more
data have been collected

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and made available to
educators with the rise

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of the standards-based
reform movement,

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questions about how
data should be used

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to make instructional decisions
remain mostly unanswered.

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To use data effectively,
to transform teaching

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to better meet the learning
needs of each student,

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and to raise student
achievement,

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educators need strategies
that are grounded

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in the evidence-based research.

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Drawing on available research
literature on data use

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and their own expertise, experts

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on the IES panel
developed a framework

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for using student
achievement data

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to support instructional
decision making.

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The framework includes a set

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of five coherent
recommendations working together

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that guide teacher step-by-step
in adopting a systematic process

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for effective data use.

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The recommendations encourage
teachers to collaborate

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to interpret data and
to make data-driven

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instructional decisions.

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They also help schools
and districts

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to provide the right
organizational

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and technological supports and
structures that foster a culture

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of effective data use.

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The five recommendations are:

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1. Make data part of
an ongoing cycle

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of instructional improvement

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2. Teach students to
examine their own data

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and set learning goals

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3. Establish a clear vision
for schoolwide data use

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4. Provide supports that
foster a data-driven culture

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within the school

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5. Develop and maintain a
districtwide data system.

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The panel believes that
effective data practices are

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interdependent across classroom,
school, and district levels.

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Educators should
collaborate with other school

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and district staff
to implement the

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recommendations concurrently.

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In addition, the panel
recognizes the many variations

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across schools and districts
and offers recommendations

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that can be adjusted to
fit unique circumstances.

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Let's take a closer look
at each recommendation.

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1. Make data part
of an ongoing cycle

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of instructional improvement.

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Teachers can begin using
student achievement data

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to guide instruction and
monitor student progress

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by adopting an ongoing
cycle of inquiry.

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A systematic process
of data use,

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the cycle of inquiry usually
involves three steps: 1) collect

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and prepare data from multiple
sources about student learning;

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2) interpret data and
develop hypotheses about how

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to use this information to
improve student learning;

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3) modify instruction
to test hypotheses

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and increase student learning.

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At the completion of
these three steps,

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teachers can restart the
cycle of inquiry by collecting

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and interpreting new
student achievement data

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to determine the impact of
their instructional changes.

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2. Teach students to
examine their own data

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and set learning goals.

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Teachers can teach students
to collect and analyze data

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to monitor their own performance

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and establish their
own goals for learning.

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To be able to interpret
data, students need

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to understand the expectations
on their performance

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and the criteria used to
evaluate their performance.

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Students can also
benefit from thoughtful

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and constructive
feedback provided

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in a timely fashion
along with tools

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to help them analyze the data.

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The results of student data
analysis are a valuable source

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of data to guide
teachers' instruction.

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3. Establish a clear vision
for schoolwide data use.

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A strong culture of
data use conveyed

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through a clear vision
is critical to ensure

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that data-based decisions
are made frequently,

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consistently, and effectively.

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A school-based data team
can serve as a catalyst

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to build the culture of data use

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by clarifying the school's
vision, developing plans

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to tie data use to school goals,
defining critical concepts

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about data use to
facilitate communication,

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and providing ongoing
leadership and guidance

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to teachers and school staff.

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4. Provide supports that
foster a data-driven culture

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within the school.

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To establish and sustain a
data-driven culture, schools

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and districts need to
invest in leadership,

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professional development,

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and structured time
for collaboration.

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Effective data use depends
greatly on the knowledge

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and skills of teachers
and school staff on how

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to interpret data
for decision making.

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A school-based facilitator

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and targeted ongoing
professional development can

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provide support for data
interpretation and analysis

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to help educators to enhance
their data literacy and skills.

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Structured time promotes
effective data use

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by providing the opportunities
for staff to collaborate

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and learn from each other.

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5. Develop and maintain a
districtwide data system.

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As more data are being collected
throughout the education system,

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the district needs to develop
a high-quality data system

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to link different
forms of data to ensure

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that everyone has access

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to the necessary data
when they need them.

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To make the data system easy
to use, it must be designed

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with the end user
in mind and usually

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with the end user
actually involved.

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Consequently, the district
should include representatives

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of each stakeholder group in
the design and implementation

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of the data system and a process
that allows for regular feedback

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to improve the system over time.

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To learn more about
data-driven decision making,

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please visit ies.ed.gov
for a free download

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of the Practice Guide.

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[Music]