Mathematics

The DataX project aims to develop an integrated, justice-oriented curriculum and a digital platform for teaching secondary students about data science. This project includes science and social studies teachers in the design of the resources and in testing them in classrooms. The DataX platform supports students to investigate authentic problems using real-world datasets. The project team will present a justice-oriented data science education framework, lesson plans co-designed with teachers, and preliminary findings from classroom pilots.

There are long-standing calls to make mathematics more meaningful, relevant, and applicable both inside and outside of the K-12 classroom. In particular, there is a growing recognition that mathematics is a valuable tool for helping students understand important real-world issues that affect their lives and society. Further, mathematics can support students in becoming mathematically literate and engaged democratic citizens. Despite the increased interest in connecting mathematics to real-world issues in the classroom, many teachers feel unprepared to do so.

Broadening participation in STEM requires a change in how K-12 teachers engage and educate students who identify as Black, Indigenous, and People of Color. The CRAFT project provides a field-based science and mathematics teacher education program that supports teaching focused on students’ affective development through culturally responsive practices.

In this project we are studying a sustained implementation of ambitious mathematics teaching (AMT) in a high need setting. Our goal is to articulate the demands of AMT, the resources necessary to address those demands, and the tensions between AMT and other internal and external initiatives. We collaboratively developed the model with instructional leaders, students, parents, and teachers. We operate from a definition of AMT that incorporates disciplinary practices as well as asset-based practices.

This project enhances two interdisciplinary project-based learning (PBL) modules from EL Education with authentic data experiences co-designed with science, math, and social studies middle school teachers. Applying “messy” datasets to relevant societal issues within their existing curriculum and subject matter, we used CODAP to introduce data science education skills and ways of thinking and we examined how engaging and empowering students and teachers can help them develop acumen with data and agency as learners.

This project addresses questions regarding how teacher education clinical experiences might become a mutually productive site for teacher candidate (TC) and mentor teacher (MT) learning. The goal of this project is to design and study a model of co-learning between TCs and MTs through the development of tools and theory in support of co-learning ambitious, equity-oriented mathematics instruction. We offer insights and challenges of tool design and TC-MT tool use based on multiple design cycles.

This poster will share the development of a framework around adaptive expertise and mathematics language routines. Our larger project aims to understand how teachers’ learning communities, teachers, and students develop adaptive expertise in their use of mathematics language routines. Hatano and Inagaki (1984) defined an adaptive expert as someone who can perform procedural skills with flexibility and has developed a conceptual understanding of those skills—they can apply them flexibly in multiple situations.

In our project we design and study opportunities for mathematics and science teachers to coordinate their instruction to support a more coherent approach to teaching statistical model-based inference in middle school. We aim to help more students develop a deeper understanding of ideas and practices related to measurement, data, variability, and inference.

This project examines how instructional activities involving quadratic functions influence students’ prior ways of reasoning about linear functions, and develops and refines instructional products for teaching quadratic functions in ways that influence students’ prior ways of reasoning about linear functions in predictable and productive ways.

This project advances the understanding of teaching and learning of algebra in grades K through 12 by using a methodology that leverages the cumulative power of an analysis of many studies on a topic. This work will synthesize results aggregated from 40 years of research in the field of mathematics education and develop a unified framework to inform parents, students, teachers, other educators, and researchers.