CAPTURING
TEACHER KNOWLEDGE (TeKno)
The
Capturing Teacher Knowledge Project is a four-year grant
(2006-2010) funded by the Institute
of Education Sciences.
The Capturing Teacher Knowlege Project examines the relationship
between teachers’ ability to analyze classroom teaching, their
own teaching practice, and student learning. Our aim is to evaluate the
usefulness of a novel assessment approach to measuring teacher
knowledge of teaching mathematics. The approach uses online video clips
of authentic
mathematics
instruction, which teachers are asked to view and respond to in writing. Specifically, teachers are
asked to discuss
how the teacher and the student(s) in the video clips interact around
mathematical content.
The video-analysis
approach presumes that teachers’ ability
to analyze teaching is reflective of their teaching knowledge. Evidence for this
hypothesis comes from
research on expertise in cognitive psychology and education. Pilot research on a
proto-type video-analysis
assessment yielded encouraging results.
One potential advantage
of using video clips as stimuli (i.e.,
item prompts) is that it provides a means of preserving the complexity
and
authenticity of real classroom teaching and operationalizes it for
assessment
purposes. Teachers are able to comment on pedagogical and content
related
issues within the context of real classroom instruction. The
video-analysis
approach taps teachers’ ability to access the very kind of
knowledge that must
be accessed when making ongoing decisions in live classrooms. Analyzing
classroom events might be seen as one of the basic skills of teaching.
Research Design
As
part of the Capturing Teacher Knowledge Project three
video-analysis assessments will be developed, each addressing a key
topic area
within the middle school curriculum:
(1) teaching fractions,
(2) teaching ratio and proportion,
and (3) teaching variables, expressions, and equations.
Score
reliability and criterion-related validity will be investigated
for each instrument. To examine the instruments’
validity the Mathematical
Knowledge for Teaching (MKT) instrument,
a measure of classroom teaching and student learning outcomes will be
used. The project
will also explore automated
scoring of teachers’ open-ended responses to the
video clips and
compare it to score reliability obtained by human coders.
Contact
This project is directed
by Nicole
Kersting; Karen
Givvin and Rossella Santagata
are
serving as Co-P.I.s; Frank Sotelo
is the project research
assistant. |