National Council of Teachers of Mathematics 2012 Research Presession

Please note: The NCTM conference program is subject to change.

59- Effects of and Research in Grades K–8 Mathematics Coaching

Tuesday, April 24, 2012: 4:45 PM-6:00 PM
Salon I/J/K/L 14 (Philadelphia Marriott Downtown)
Instructional coaching in mathematics requires drawing upon knowledge and expertise from multiple domains of knowledge, such as mathematics content knowledge and knowledge of teacher practice, to name just two.  The theory of change envisioned by most proponents of mathematics coaching is that the coach helps the teacher increase both mathematics content knowledge and pedagogical content knowledge, which results in changes in teacher practice, which impacts student knowledge.

This poster will illuminate relationships between subject area knowledge of teachers and teacher practice are of interest in understanding the preparation and professional development of teachers as well as in assessing teacher performance. This session investigates claims that teachers’ mathematics knowledge for teaching explains facets of teacher practice.

Additionally, impacts on student mathematics achievement, based on a sample of teachers being coached in one state and a comparison group, is examined using a traditional 2 (participating teachers vs. comparison teachers) by 2 (2009 ISAT mathematics vs. 2010 ISAT mathematics) repeated-measures ANOVA[1] and an alternative analysis approach based a value-added model which uses “binning” of student growth scores.  The primary question of interest was whether teacher participation in the coaching project had an impact upon the mathematics achievement of their students.

The poster will be organized around the three central themes described below.

  1. Relationship between Mathematics Content Knowledge and Teaching Practice.  This poster illuminates the relationship between Mathematics Knowledge for Teaching (MKT) and Inside the Classroom – Classroom Observation Protocol (ITC-COP) in a sample of 129 teachers from 25 school districts across seven states. Using linear and ordinal mixed models to account for a random district effect on ITC-COP measurements, modest relationships were identified between MKT and seven of eight different aspects of the ITC-COP.
  2. Differences in the practices of teachers being coached.  This poster and the research it presents situates well among recent studies (Hill et al., 2008; Hill et al., under review; and Stein and Kaufman, 2010) that have also investigated the relationship between teacher knowledge and practice. This research differs from these recent studies because it uses a larger sample of teachers, a more diverse setting (in terms of district type and curriculum used), and two instruments that are widely used but not necessarily designed to work in concert.  The analysis explores the question whether data about teacher mathematics knowledge is useful in explaining elements of teacher practice and compares teaching practice ratings between low, medium, and high knowledge teachers.
  3. Impacts of coaching on student mathematics achievement and different methods for analyzing data.  The results of the ANOVA showed that students of teachers in the project increased their mathematics achievement scores in 2010, while comparison students did not, although the effect size for this result is very small.  The results of this binning procedure for the students of participating teachers compared to other students in the same districts suggests that students of teachers working with coaches grew more on the state mathematics assessment from 2009 to 2010 than did other similar students during the same time period. This was particularly true for the students at the highest bin levels.

The poster will encourage discussion because it will highlight the methods in use in an ongoing research project and researchers are actively seeking external review of project methods and findings. This poster will address the priority area of professional learning by examining the relationships between mathematics content knowledge and teaching practice and the impacts of coaching on student achievement.

 



[1] Repeated measures analysis of variance (ANOVA) is a statistical procedure used to examine differences within subjects when the same data are available for multiple points in time.

Co-Speaker:
David A. Yopp
Lead Speaker:
John Sutton


Description of Presentation:

This session will present results from a study on the effects of grades K–8 instructional coaching on teaching practice and students' achievement. It focuses on measures, methods, and outcomes of the relationships among mathematics content knowledge, teachers' practice, and alternative methods of analyzing students' achievement data.

Session Type: Poster Session

See more of: Poster Session