In my new role as Senior Education Officer (National Improvement
Framework), I am trying to gain a fuller understanding of some areas. Data
literacy is a term that has been used but since I was unsure exactly what this
meant, I thought I would explore this further and purchased a book called Data Literacy for Educators: Making it count in teacher
preparation and practice. This
is a summary of thoughts on data literacy and what it means for teachers.
The rationale
Teachers
need to be able to use data to understand and measure children’s learning and
transform this information into next steps in learning for each child.
This
can be achieved through a combination of different knowledges;
·
Knowledge
of standards of progression – what stage is this child at and what is their
next step in learning
·
Curricular
knowledge – how can the curriculum be developed to support each child’s
learning
·
Pedagogical
knowledge – what theory and practice would be best employed to support
children’s learning
·
Knowledge
of how children learn – metacognition.
In
classrooms, teachers observe children’s learning in a holistic way, not just
their progression in learning but also how they react, behave, perform, whether
they are engaged, attentive or alert, and use all of this information to make
professional judgements on the next steps in learning for each child. As an education system we have to move away
from anecdotal evidence of children’s learning and behaviour to a more systematic
way of collecting and using data to support professional learning of teachers
and learning progress of the young people. This means using data to reinforce
and confirm observations and gut reaction. This does not mean replacing the
tacit knowledge gained over years of experience for some teachers but using
tools to augment this tacit knowledge with data that can be collated, discussed
and used to inform next steps.
Teachers
need to develop skills, knowledge and disposition to be able to use data
effectively and responsibly. This would be supported by a strong data culture
within schools where data is explicitly utilised to identify problems in
practice, which can be analysed and an action plan created as part of a cycle
of collaborative enquiry.
What data?
Data
comprises of both quantitative and qualitative facts, figures, materials or
results. These are empirical pieces of evidence which can be transformed into
information by the context which gives them meaning. This data (information)
provides the teachers with evidence which can support professional judgement and
actions. The data collected must be meaningful and more importantly actionable,
i.e. it needs to provide information for action to be taken.
Teachers
have to go beyond the easy sources of data such as assessment data, and mine
the rich learning experiences and classroom practice to find the most
appropriate evidence which is meaningful and manageable. There are many forms
of data that can be used as evidence, some qualitative and some quantitative,
such as;
·
Assessments
o
summative,
formative, interim, benchmark, diagnostic
·
Classroom
activities:
o
exercise,
quizzes, reports, problem solving, lab exercises, projects, demonstrations
·
Portfolios
·
Observations:
o
attentiveness,
engagement, fatigue, hyperactivity, hunger, misbehaviour
·
Questions
and answers
·
Attendance,
truancy and tardiness
·
Behaviour:
demerits, exclusion, socially supportive actions
·
Health
and nutrition
·
Affect:
o
motivation,
attitude, attention, grit, self-esteem
·
Special
status:
o
special
educational needs, accommodations, languages, giftedness
·
Transportation
·
Demographics
·
Home
circumstances:
o
parental
status, languages barrier, education, numbers of siblings, homelessness,
immigration status, poverty level, parental support, home educational
resources, technology
It is
the triangulation of some/all of these sources of data that helps give teachers
the fullest picture of their students learning and supports teachers to make
professional judgements in the best interests for each child.
What does this mean for teachers?
Teachers need to develop knowledge, skills and dispositions through professional learning opportunities in how to collate and use data effectively and ethically. Teachers can undertake professional learning in data literacy, to support their professional judgements and increase teacher agency, as they become confident in utilising data to make informed decisions about the learning of young people.
Teachers need to develop knowledge, skills and dispositions through professional learning opportunities in how to collate and use data effectively and ethically. Teachers can undertake professional learning in data literacy, to support their professional judgements and increase teacher agency, as they become confident in utilising data to make informed decisions about the learning of young people.
Teaching
with a closed classroom door, is not conducive to a collaborative professional
learning community. Teachers teaching in isolation have limited sources of data
to make informed professional judgements, a collaborative professional learning
community offers the possibility to make well-articulated, objective
professional judgements on student performance and to use data to inform
learning and teaching.
Teachers
need to develop data literacy skills and think critically about data. Teachers
should combine their data skills with content knowledge and pedagogical content
knowledge. The pedagogical component helps inform changes to learning and
teaching that result from the data as part of a continuous enquiry cycle into
their practice.
To be
data literate, teachers need to;
·
Understand
what data is appropriate
·
Understand
data quality
·
Understand
data accuracy, appropriateness, and completeness
·
Transform
data into decision
·
Understanding
context for the decision
·
Create
next steps in learning
·
Monitor
student performance
·
Diagnose
what students need
·
Make
adjustments in learning and teacher
·
Understand
the context for a decision
Teachers
need to use multiple sources of data and triangulate these sources to inform
their practice. Engaging with research can form the basis for understanding what
data literacy is and what skills and knowledge need to be developed.
The Education System
All
educators need to know how to talk about
data, and they need to know how to communicate with data. Each establishment needs to become what Senge calls a
‘learning organisation’, where data is used for organisational improvement. In
a ‘learning organisation’ data is collected and analysed in ways that can be used
in a feedback cycle to inform decisions for continuous improvement.
“Data gives us roadmap to reform, it tell us where we
are, we need to go, and who is most at risk” (Duncan, 2009a)
Reference
Mandinach,
E.B. & Gummer, E.S. (2016) Data Literacy for Educators: Making it count in
teacher preparation and practice; new York, NY: Teachers College Press