Project Activities
The researchers will follow two cohorts of participants in the last 2 years of their preparation program, following the first cohort from the last 2 years of their preparation program into their first 2 years of classroom teaching and the second cohort into their first year of teaching. Aim 1 takes place in a teacher preparation program where the researchers will explore how LT/Ps develop in relation to the knowledge and skills that govern prospective teacher capacity to respond to student mathematical thinking. They will analyze preparation coursework and assess multiple dimensions of professional knowledge for teaching in relation to prospective teacher knowledge of learning progressions. Aim 2 takes place in novice teachers' first year of classroom teaching. The researchers will describe how novice teachers use their knowledge of LT/Ps and the extent to which this knowledge contributes to their mathematics instruction, with a focus on eliciting, interpreting, and responding. Aim 3 will examine novice teacher professional knowledge and teacher capacity to use learning progressions as a pedagogical tool in relation to student learning outcomes.
Structured Abstract
Setting
This study will take place in Michigan and will begin with prospective teachers in the University of Michigan-Flint elementary teacher education program and follow those teachers into the larger Flint, Michigan community as they are hired by local schools and districts to serve as classroom teachers.
Sample
The sample will include 80 prospective teachers across 2 cohorts completing the elementary teacher education program. A subset of 10 teachers from cohort 1 will serve as participants in case studies. The student sample will include 250 elementary school students.
This project focuses on (1) preparation experiences incorporating explicit focus on learning progressions and (2) novice teacher capacity to elicit, interpret, and respond to student mathematical thinking.
Research design and methods
The researchers will follow two cohorts of participants in the last 2 years of their teacher preparation program, following the first cohort from the last 2 years of their preparation program into their first 2 years of classroom teaching and the second cohort into their first year of teaching. The researchers will address the first research question employing a convergent parallel design, the second through a sequential explanatory design and multivariate models, and the third with hierarchical linear model. The researchers will assess multiple dimensions of prospective teachers' professional knowledge for teaching to construct latent profiles. They will connect those profiles with themes derived from grounded theory analysis of coursework that requires teachers develop skills to elicit, interpret, and respond to student thinking using learning progressions as support. They will use a 3-day field observation and interview cycle to examine the relation between knowledge of the learning progressions and instruction.
Control condition
There is no control condition.
Key measures
The researchers will collect artifacts from coursework assignments and projects as indicators of teacher preparation experiences. They will measure prospective teacher professional knowledge for teaching using the Teacher Analysis of Student Knowledge (TASK) in addition and multiplication and the Mathematical Content Knowledge for Teaching (MKT). They will measure teacher classroom instruction — specifically eliciting, interpreting, and responding to student thinking — using the Classroom Observation of Early Mathematics Environment and Teaching (COEMET) rubric applied to a 3-day observation and interview cycle. They will measure fall-to-spring student learning using the Research-based Early Mathematics Assessment (REMA) for students in grades kindergarten through 2 and the Learning Trajectory Assessment for Multiplication and Division (LTA-MD) for students in grades 3 through 5.
Data analytic strategy
The researchers will connect latent profiles of prospective teachers' professional knowledge for teaching with themes derived from grounded theory analysis of coursework that requires teachers develop skills to elicit, interpret, and respond to student thinking using learning progressions as support. The researchers will use multivariate modeling in a Bayesian framework to quantify growth across multiple dimensions of participant professional knowledge for teaching. They will also estimate hierarchical linear models to estimate fall to spring growth in students' mathematical performance in relation to multiple dimensions of teacher professional knowledge, accounting for student- and school-level demographics.
People and institutions involved
IES program contact(s)
Products and publications
This project will generate recommendations for teacher preparation programs about the use of LT/Ps to improve teacher candidates' ability to elicit, interpret and respond to student thinking and will identify the specific preparation experiences (and ancillary rubrics), knowledge, and skills that support and govern this capacity. The project will also result in a final dataset to be shared, peer-reviewed publications and presentations, and additional dissemination products that reach education stakeholders such as practitioners and policymakers.
Publications:
ERIC Citations: Find available citations in ERIC for this award here.
Supplemental information
Co-Principal Investigators: Kutaka, Traci; Ebby, Caroline
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.