Projects

This study seeks to further understanding of the STEM learning environment by 1) examining the extent to which mathematics and science achievement varies across students, teachers, schools, and districts, and 2) examining the extent to which student, teacher, school, and district characteristics that are found in state administrative databases can be used to explain this variation at each level. This work will support advances in research and evaluation methodologies that will enable researchers to design more rigorous and comprehensive evaluations of STEM interventions and improve the accuracy of statistical power calculations.

This project seeks to identify teaching practices that can be linked to students' early algebra learning in grades three, four and five. The goal of the project is to use assessment data and videos of classroom teaching in order to create a tool that can be used to document effective instructional practices. This observation tool can then be used to support teacher professional development in early algebra and research about how teachers' actions can be linked to students' learning.

This project will define and synthesize effective feedback strategies that can be linked to specific features of daily classroom assessment practices. It will develop a framework, including a conceptual strand (will conceptualize feedback practice considering intrinsic and contextual dimensions) and a methodological strand (used to describe and evaluate the feedback studies and findings to be synthesized). The framework will provide a shared language within and across multiple forms of research in various disciplines.

The goal of this Transforming STEM Learning project is to comprehensively describe models of 20 inclusive STEM high schools in five states (California, New Mexico, New York, Ohio, and Texas), measure the factors that affect their implementation; and examine the relationships between these, the model components, and a range of student outcomes. The project is grounded in theoretical frameworks and research related to learning conditions and fidelity of implementation.

This project investigates the variation in teachers' practice of lesson study to identify effective and scalable design features of lesson study associated with student mathematics achievement growth in Florida. Lesson study is a teacher professional development model in which a group of teachers works collaboratively to plan a lesson, observe the lesson in a classroom with students, and analyze and discuss the student work and understanding in response to the lesson.

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

This project will focus on learning about model based reasoning in science, and will develop, implement, study, and refine a 6-week climate science module for high school students. The module will feature use of a web-based climate modeling application, and the project team will collect and analyze evidence of model-based reasoning about climate phenomena among students.

This project will focus on learning about model based reasoning in science, and will develop, implement, study, and refine a 6-week climate science module for high school students. The module will feature use of a web-based climate modeling application, and the project team will collect and analyze evidence of model-based reasoning about climate phenomena among students.

This project uses a mixed-methods design to test the hypothesis that key approaches to high school reform grease the mathematics and science pipelines for all students in reforming high schools. This study is intended to provide understanding of pipeline progression in reforming high schools and strategies successful schools employ to ensure timely pipeline progress for all students, particularly those historically underrepresented and underserved in mathematics and science and post-secondary education.

The High Adventure Science project is bringing some of the big unanswered questions in Earth and space science to middle and high school science classrooms. Students will explore the mechanisms of climate change, consider the possibility of life on other planets, and devise solutions to the impending shortage of fresh water. Each curriculum module features interviews with scientists currently working on the same unanswered question.

Several small-scale experimental classroom studies Star and Rittle-Johnson demonstrate the value of comparison in mathematics learning: Students who learned by comparing and contrasting alternative solution methods made greater gains in conceptual knowledge, procedural knowledge, and flexibility than those who studied the same solution methods one at a time. This study will extend that prior work by developing, piloting, and then evaluating the impact of comparison on students' learning of mathematics in a full-year algebra course.

The project will create opportunities for teachers to develop programming content knowledge and new understandings of the creative possibilities in computer science education, thereby increasing opportunities for students to develop conceptual and creative fluency with programming.

Geometry Assessments for Secondary Teachers (GAST) represents a collaborative partnership among faculty and staff at the University of Louisville, the University of Kentucky, Florida State University, Alpine Testing Solutions, and Horizon Research, Inc. to develop a knowledge framework and assessments for secondary mathematics teachers' geometry knowledge for teaching. The framework for the assessments will be designed to collect validity evidence for predicting effective geometry teaching and improving student achievement.

This project will create two curriculum units that use sophisticated simulations designed for students in secondary schools that integrate the study of the tectonic system and the rock genesis system. The project seeks to overcome the more typical approaches taken in earth science classrooms where such geologic processes are treated as discrete and highly predictable, rather than intertwined and dynamic.

This project will develop and test a new instructional approach that integrates a data analysis tool with Earth systems models in a suite of online curriculum modules for middle and high school Earth science students. The modules will facilitate development of rich conceptual understandings related to the system science of natural hazards and their impacts.

This project addresses biology teachers and students at the high school level, responding to the exponential increases occurring in biology knowledge today and the need for students to understand the experimental basis behind biology concepts. The project studies the feasibility of engaging students in an environment where they can learn firsthand how science knowledge develops in the fields of bioinformatics and DNA science by performing collaborative, simulated experiments to solve open-ended problems.

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

This project scales and further tests the Target Inquiry professional development model. The model involves teachers in three core experiences: 1) a research experience for teachers, 2) materials adaptation, and 3) an action research project. The original program was implemented with high school chemistry teachers, and was shown to result in significant increases, with large effect sizes, in teachers' understanding of science inquiry and quality of instruction, and in science achievement of those teachers' students.

This research investigates student mathematics learning outcomes at the elementary level in relation to teacher expertise (elementary teachers with math specialist certification versus generally prepared elementary teachers) and school organization (departmentalized versus self-contained mathematics classrooms). Findings will provide evidence of the impact of content-specific teacher expertise and a departmentalized school organizational model that offers students access to well-qualified teachers of mathematics with no additional staffing costs.

This project investigates how to support sustained engagement in computational modeling in middle school classrooms in two ways: 1) Design and develop an accessible modeling toolkit and accompanying thematically linked curricular units; and, 2) Examine how this toolkit and curriculum enable students to become sophisticated modelers and integrate modeling with other scientific practices such as physical experimentation and argumentation.

This project will convene stakeholders in STEM and early childhood education to discuss better integration of STEM in the early grades. PIs will begin with a phase of background research to surface critical issues in teaching and learning in early childhood education and STEM.  A number of reports will be produced including commissioned papers, vision papers, and a forum synthesis report.

This project is an efficacy study of the Fostering Geometrical Thinking Toolkit (FGTT) previously developed with NSF support. FGTT is a 40-hour professional development intervention focusing on properties of geometric figures, geometric transformations, and measurement of length, area, and volume. The study addresses four research questions, three examining participating teachers and one examining the impact of teachers' professional development on ELL students.

This project will develop and study a curriculum and app that support computational thinking (CT) in a high school biology unit. The project will engage students in rich data practices by gathering, manipulating, analyzing, simulating, and visualizing data of bioelectrical signals from neural sensors, and in so doing give the students opportunities to apply CT principles.