• Employ a 4 - phase data driven dialogue process and use it to analyze two
classroom data sources.
Not exact matches
Teachers are captains of the
classroom, clearing away the clutter and helping students sort through a dizzying array of
data sources.
Even more powerfully though, through the iPad phone connection, students can have access to volumes of primary
source documents and
data to help in their investigations in or out of the
classroom, on the bus, in a restaurant, or at the football game.
Our interview
data point to five potential
sources of expertise in
data use in schools: central office personnel (superintendents, curriculum or assessment specialists); state - supported regional education center specialists; principals; key teachers trained to serve as assessment and
data experts; and
classroom teachers in general.
The system connects
data from multiple
sources, from self - assessment and
classroom observation results to information from student learning and achievement projects.
iObservation collects evidences from multiple
data sources including formal observations,
classroom walkthroughs, peer assessments, and self assessments.
Data sources included: interviews with district and school leaders, coaches, and teachers; observations of coaches» work, professional development sessions, and
classroom practice; and artifacts (e.g., instructional materials, professional development handouts, posters in
classrooms).
Meeting these demands requires teachers to develop assessments, use existing instruments, and interpret
data from many
sources to tailor
classroom practice.
The
classroom observations constituted the primary
source of
data for characterizing how the participants used the IDS.
Careful analysis of a variety of
data sources including lesson plans, interviews, and extensive
classroom observations allowed for triangulation and permitted us to answer the research question with a high degree of confidence.
I use multiple
data sources — including eight months of participatory
classroom observation; in - depth interviews with educators, school leaders, and staff; and document and media analyses — to probe teachers» decision - making processes and to examine how, why, and under what conditions they elect to employ discipline in relation to particular students.
In our experience with the process of supporting quality teaching through professional development, three major elements have facilitated the shifts we see in teachers» thinking and practice as evidenced in teacher goals,
classroom observations and other
data sources:
In order to establish triangulation (Patton, 2002), multiple
sources of
data were collected:
classroom observations, individual interviews with each teacher, and member checking of the
data during the
data collection.
This Teaching Channel video shows how Mills Teacher Scholars supported these teachers to interrogate multiple
sources of
classroom data that made their students» learning visible.
There are quantitative ways of keeping track of teacher's use of strategies and behaviors in the
classroom, tracking that, and ways of keeping track of
data about student achievement from multiple
sources.
By interrogating multiple
sources of
classroom data that made their students» learning visible, they learned to derive their own solutions to problems of practice.
Furthermore, an observer can use qualitative
data sources like
classroom observations, interviews, and lesson plans to rate the teacher in each domain.
Research Design:
Sources of
data in this study consist of student demographic variables and reading achievement for 995 students and
classroom observation
data using the
Classroom Assessment Scoring System collected across 46
classrooms in an urban school district in Wisconsin.