Projects

We are analyzing the intended algebra curriculum as represented in a variety of high-school mathematics textbooks – Core Plus Mathematics Project (CPMP), Discovering Mathematics (Key Curriculum Press), EDC's Center for Mathematics Education, Glencoe, Interactive Mathematics Program (IMP), and University of Chicago School Mathematics Project (UCSMP). The textbook analysis is based on two dimensions frequently used for curriculum analysis: a content dimension and a cognitive dimension.

This project aims to elaborate a structure for practice-oriented, collaborative professional development that increases the capacities for collaborative learning by facilitating teacher-to-teacher interactions within and across cultural contexts. By convening international groups of teachers to design lessons and provide and respond to commentaries on their lesson designs, the project introduces possibilities for surfacing and disrupting common experiences, assumptions, and norms in US mathematics teaching.

This study examines the impact of the newly revised Advanced Placement (AP) Biology and Chemistry courses on students' understanding of and ability to utilize scientific inquiry, on students' confidence in engaging in college-level material, and on students’ enrollment and persistence in college STEM majors. The project provides estimates of the impact of students' AP-course taking on their progress into postsecondary educational experiences and their intent to continue to prepare to be future engineers and scientists.

This project collects evidence supporting the validity of test instruments and initial characterization of high school teachers' background and use of materials and pedagogies. The project is constructing and validating multiple forms of test instruments that can be used for the evaluation of interventions (e.g. professional development, implementation of new curricula) and the measurement of aspects of teacher knowledge (e.g. subject matter, knowledge of student misconceptions).

This project examines the effect of an assessment system that automatically generates feedback based on students’ open-ended assessment responses in chemistry and physics consistent with a previously-developed learning progression that describes the successively more complex understandings students can develop about electrical interactions. The scoring system will provide individualized feedback to students and class summaries to their teachers.

This project will engage in a community-wide effort to synthesize the literature from a broad range of fields and to use the findings to create frameworks that will guide the planning, implementation, and scale-up of efforts to improve geographic education over the next decade. This will result in a set of publicly reviewed, consensus reports that will guide collaborative efforts and broaden awareness of the acute need for geographic literacy and geographic science education.

Tutoring programs that are jointly supported by schools and universities can offer benefits to both parties. The programs, however, are only helpful to the extent they respond to the needs and interests of the students and schools they serve. This project will establish a partnership between a large, urban university and a small, rural high school to collaboratively create a tutoring program to support the mathematics learning of students with learning disabilities.

As STEM education researchers work to improve STEM teaching and learning in schools and districts across the nation, rural communities are often overlooked. There is a definite critical need for STEM education research focused on rural communities. Rural schools typically have less funding for STEM programs, have trouble recruiting and retaining quality STEM teachers, and have less access to STEM learning opportunities. Yet, rural communities possess an abundance of ingenuity, resourcefulness, and collective problem-solving skills. This project works to address this need by bringing together researchers, rural educators, and workforce leaders in rural communities to support the mutual exchange of knowledge and learning around pressing problems in rural K-12 STEM education, understanding rural ingenuity within teaching STEM, and STEM education's connection with the local workforce.

This project will engage teams of students and teachers of grades 7-12 in four competitive Challenges to design innovative strategies for carbon mitigation in areas such as transportation, agriculture or energy use. The project expands the typical boundaries of schools by enabling teams of students in multiple locations to collaborate in model-based reasoning through online discussion forums, using social media, and crowdsourcing ideas to construct possible solutions to environmental challenges. Project research will examine the impacts of the project on student learning and engagement.

This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.

This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.

This exploratory proposal is researching and developing professional learning activities to help high school teachers use available and emerging social media to teach scientific argumentation. The project responds to the growing emphasis on scientific argumentation in new standards.

This conference focuses on the use of virtual/mixed reality simulation in the preparation of secondary science teachers. The conference convenes experts in simulation in teacher preparation, practicing high school teachers, and teacher candidates to engage in a design process related to mixed reality simulations. Conference attendees will identify important gaps in science teacher preparation and design prototype simulation environments for addressing those gaps.

This development and research project designs, develops, and tests a digital game-based learning environment for supporting, assessing and analyzing middle school students' conceptual knowledge in learning physics, specifically Newtonian mechanics. This research integrates work from prior findings to develop a new methodology to engage students in deep learning while diagnosing and scaffolding the learning of Newtonian mechanics.

This project investigates the educational value of computer technologies for learning engineering. The project engages high school students to design, build, and evaluate an energy-efficient model house with the aid of computer simulation and design tools. 

The ReaL Earth Inquiry project empowers teachers to employ real-world local and regional Earth system science in the classroom. Earth systems science teachers need the pedagogic background, the content, and the support that enables them to engage students in asking real questions about their own communities. The project is developing online "Teacher-Friendly Guides" (resources), professional development involving fieldwork, and inquiry-focused approaches using "virtual fieldwork experiences."  

This Engineering Teacher Pedagogy project implements and assesses the promise of an extended professional development model coupled with curriculum enactment to develop teacher pedagogical skills for integrating engineering design into high school biology and technology education classrooms. 

Geometry instruction offers unique opportunities for students to apply design thinking to authentic problems. This project supports teachers in designing and implementing lessons using a human-centered design (HCD) approach. Geometry teachers will participate in lesson study for two years to plan problem-based geometry lessons and to observe student thinking during those lessons. The project investigates how teachers learn about and apply a human-centered framework for teaching geometry.

This project will develop, implement, test, and revise instructional approaches and materials for high school students that focus on the links between scientific evidence and alternative explanations of phenomena relating to Earth and space education. Students will learn to construct diagrams showing the links between explanatory models of natural phenomena and lines of evidence, and then evaluate the plausibility of various alternative explanations for events.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

This project is researching the efficacy of a learning and assessment system that emphasizes students' attaining proficiency or better on a limited set of high value learning objectives in Algebra.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.