Projects

This project builds upon the prior work by creating problem-solving measures for grades 3-5. The elementary assessments will be connected to the middle-grades assessments and will be available for use by school districts, researchers, and other education professionals seeking to effectively measure children's problem solving. The aims of the project are to (a) create three new mathematical problem-solving assessments and gather validity evidence for their use, (b) link the problem-solving measures (PSMs) with prior problem-solving measures (i.e., PSM6, PSM7, and PSM8), and (c) develop a meaningful reporting system for the PSMs.

This project builds upon the prior work by creating problem-solving measures for grades 3-5. The elementary assessments will be connected to the middle-grades assessments and will be available for use by school districts, researchers, and other education professionals seeking to effectively measure children's problem solving. The aims of the project are to (a) create three new mathematical problem-solving assessments and gather validity evidence for their use, (b) link the problem-solving measures (PSMs) with prior problem-solving measures (i.e., PSM6, PSM7, and PSM8), and (c) develop a meaningful reporting system for the PSMs.

This project will develop and research AquaLab 9, an online video game to engage middle school students in learning science research practices in life sciences content. By engaging in science research practices, students will develop intellectual skills that link directly to many state academic standards and are important for developing STEM literacy and pursuing STEM career pathways.

This project will develop and research AquaLab 9, an online video game to engage middle school students in learning science research practices in life sciences content. By engaging in science research practices, students will develop intellectual skills that link directly to many state academic standards and are important for developing STEM literacy and pursuing STEM career pathways.

This project will develop and research AquaLab 9, an online video game to engage middle school students in learning science research practices in life sciences content. By engaging in science research practices, students will develop intellectual skills that link directly to many state academic standards and are important for developing STEM literacy and pursuing STEM career pathways.

The project team is developing, implementing and evaluating a prototype for an integrated assessment system in elementary teacher education in mathematics. The project is documenting both the development of the student teachers in the practice of teaching mathematics to students from diverse backgrounds and of cooperating teachers and field instructors as they learn to analyze the practice of the student teachers and provide feedback.

A principled framework is created for the development of learning progressions in science that can demonstrate how their use can transform the way researchers, educators and curriculum developers conceptualize important scientific constructs. Using the construct of transformation of matter, which requires understanding of both discrete learning goals and also the connections between them, a hypothetical learning progression is constructed for grades 5-12.

The purpose of this project is to develop a home mathematics environment (HME) intervention for preschool-aged children with developmental delays (DD). The project includes caregivers of children with DD as collaborators in the iterative design process to develop feasible and sustainable HME intervention activities.

This project is developing and testing a curricular learning progression of early algebra objectives and activities for students in grades 3 - 5. The goal of the work is to provide teachers with curricular guidance and instructional resources that are useful in preparing students for success in study of algebra at the middle grade level. The project is also developing and validating assessment tools for evaluating student progress toward essential pre-algebra mathematical understandings.

This project will develop a set of educative resources, assessment tools and teacher professional development (PD) activities to support teachers in developing knowledge of CS standards and improving their instructional pedagogy. Teachers will learn to use formative assessments related to these standards to determine student understanding. Improved CS instruction that is responsive to the needs and challenges of the student population is particularly critical in school districts with a large population of students who are typically underserved and under-represented in computer science. The project, a partnership between SRI International and the Milwaukee Public School District, will provide professional development experiences tied to standards instead of a specific curriculum in order to support diverse teachers teaching a variety of computer science curricula using different programming languages. Teachers will receive training via a combination of virtual webinars and face-to-face instruction. Teachers will have opportunities to evaluate their own teaching and measure their students' progress towards the standards.

This project is producing a model for a Professional Learning Community (PLC) for pre-calculus teachers in secondary schools. It generates research knowledge from cycles of (1) defining, (2) studying and (3) refining the model and its components. The project leadership team are then be able to describe the support structure, group processes and tools needed to assist secondary pre-calculus teachers in providing high quality instruction for their students.

The project will design and research the Cultural Connections Process Model (CCPM), a place-based, culturally sustaining STEM educational resources and model that will engage Alaska Native and other high school students in STEM. The project approach is strongly informed by Indigenous knowledge systems (i.e., knowledge embedded in the cultural traditions of regional, Indigenous or local communities) and incorporates relevant arctic scientific research.

This project contributes to advancing knowledge on STEM education focusing on societal challenges by harnessing the convergence of STEM subjects, including data science and computer science, to empower a minoritized student group—multilingual middle-school learners.

This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts.

This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts.

This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts.

This project will study five elementary STEM schools from across the U.S. that are inclusive of students from underrepresented groups in order to determine what defines these schools and will use an iterative case study replication design to study the design and implementation of five exemplary eSTEM schools with the goal of developing a logic model that highlights the commonalities in core components and target outcomes across the schools, despite the different school contexts.

This project will support students to develop evidence-based explanations for the impact of disturbances on complex systems. The project will focus on middle school environmental science disciplinary core ideas in life, Earth, and physical sciences and serve as a starting point for supporting students to coordinate different sources of information to parse out the direct and indirect effects of disturbances on components of a system and to examine the interconnections between components to predict whether a system will return to equilibrium (resilience) or the system will change into a new state (hysteresis).

The goal of this project is to develop a classroom observation tool and an online professional development model to help early-elementary teachers improve science instruction among young learners by cultivating scientific discourse.

This EAGER project aims to conduct a study designed to operationalize a culturally responsive computing framework, from theory to empirical application, by exploring what factors can be identified and later used to develop items for an instrument to assess youths' self-efficacy and self-perceptions in computing and technology-related fields and careers.

In this study, researchers will collaborate with Baltimore City Public Schools to collect and document teacher classroom practices prior to the implementation of an extended professional development model that targets pedagogical skills associated with the NGSS. The broad objective of the project is to characterize the benefits and limitations of utilizing controlled practice-teaching as a key component of teacher professional development for integrating NGSS aligned practices in middle school science classrooms.

This project is developing professional resources to help elementary teachers strengthen their students' writing skills, particularly writing in science notebooks. The proposed resources would include print and multi-media formats for teachers and handbooks for their professional development providers.

MIST is a five-year study of four large, urban districts implementing ambitious mathematics reform initiatives in the middle grades.  The study uses a mixed-methods research design to investigate how changes in the school and district settings in which mathematics teachers work influence their instructional practices, students' learning opportunities, and student achievement.  

Artificial intelligence (AI) is transforming numerous industries and catalyzing scientific discoveries and engineering innovations. To prepare for an AI-ready workforce, young people must be introduced to core AI concepts and practices early to develop fundamental understandings and productive attitudes. Neural networks, a key approach in AI development, have been introduced to secondary students using various approaches. However, more work is needed to address the interpretability of neural networks and human-machine collaboration in the development process. This exploratory project will develop and test a digital learning tool for secondary students to learn how to interpret neural networks and collaborate with the algorithm to improve AI systems. The learning tool will allow students to interact with complex concepts visually and dynamically. It will also leverage students’ knowledge and intuition of natural languages by contextualizing neural networks in natural language processing systems.

This project responds to these priorities by developing and testing a place-based environmental science research and monitoring program for elementary school students and their teachers.