Projects

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.

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 will develop and research the transformational potential of geodynamic models embedded in learning progression-informed online curricula modules for middle school teaching and learning of Earth science. The primary goal of the project is to conduct design-based research to study the development of model-based curriculum modules, assessment instruments, and professional development materials for supporting student learning of (1) plate tectonics and related Earth processes, (2) modeling practices, and (3) uncertainty-infused argumentation practices.

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.

The Graphing Research on Inquiry with Data in Science (GRIDS) project will investigate strategies to improve middle school students' science learning by focusing on student ability to interpret and use graphs. GRIDS will undertake a comprehensive program to address the need for improved graph comprehension. The project will create, study, and disseminate technology-based assessments, technologies that aid graph interpretation, instructional designs, professional development, and learning materials.

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.

This project is developing modules for middle school and high school students in Earth and Space Science classes, testing the hypothesis that students who use computational models, analyze real-world data, and engage in building scientific reasoning and argumentation skills are better able to understand Earth science core ideas and how humans impact Earth's systems. The resulting online curriculum modules and teacher guides provide exciting examples of next generation Earth science teaching and learning materials.

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 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.

The overarching goal of this project is to develop innovative instructional resources and professional development to support middle grades teachers in meeting the challenges set by college- and career-ready standards for students' learning of algebra.

This project will study the aspects of genetics instruction that affect students' beliefs in neurogenetic essentialism, which is implicated in lowering girls' sense of STEM abilities, feeling of belonging in STEM classes, and interest in pursuing further education in STEM fields. The goal of the project is to answer important questions about how to teach genetics at the high school level in a manner that is scientifically accurate but does not have these detrimental side effects.

The goal of this project is to expand high school student participation in the peer-review process and in publishing in JEI, a science journal dedicated to mentoring pre-college students through peer-reviewed publication. By publishing pre-college research in an open access website, the project will build understanding of how engaging in these activities can change high school students' perceptions and practices of scientific inquiry.

This project will provide a virtual environment for completing the Food, Energy, and Water (FEW) graduate student experience. The proposed work facilitates a transition from interdisciplinary to transdisciplinary training of existing faculty and current graduate students through a virtual resource center to help develop systematic processes for interdisciplinary thinking about large societal problems, especially those at the nexus of food, energy, and water.

This is a continuing research project that supports (1) creation of what are termed "ink inscriptions"--handwritten sketches, graphs, maps, notes, etc. made on a computer using a pen-based interface, and (2) in-class communication of ink inscriptions via a set of connected wireless tablet computers. The primary products are substantiated research findings on the use of tablet computers and inscriptions in 4th and 5th grade math and science, as well as models for teacher education and use.

This project is designing and conducting a crowd-sourced open innovation challenge to young people of ages 13-18 to mitigate levels of greenhouse gases. The goal of the project is to explore the extent to which the challenge will successfully attract, engage and motivate teen participants to conduct sustained and meaningful scientific inquiry across science, technology and engineering disciplines.

This project will create technology-enhanced classroom activities and resources that increase student learning of science practices in high school biology, chemistry, and physics. InquirySpace will incorporate several innovative technological and pedagogical features that will enable students to undertake scientific experimentation that closely mirrors current science research and learn what it means to be a scientist.

This project will design, develop, and test a new curriculum unit for high school chemistry courses that is organized around the question, "How does chemistry shape where I live?" The new unit will integrate relevant Earth science data, scientific practices, and key urban environmental research findings with the chemistry curriculum to gain insights into factors that support the approach to teaching and learning advocated by current science curriculum standards.

This project is developing and testing curriculum materials and a professional development model designed to explore the potential for introducing engineering concepts in grades 3 - 5 through design challenges based on stories in popular children's literature. The research team hypothesizes that professional development for elementary teachers using an interdisciplinary method for combining literature with engineering design challenges will increase the implementation of engineering in 3-5 classrooms and have positive impacts on students.

This project is developing curricular materials that utilize best teaching practices in improving student understanding of statistics and data science for use in high school Algebra I, Algebra II, and Geometry courses.  Although teachers are encouraged to integrate statistics and data science in these kinds of high school courses, teachers do not have sufficient access to resources to accomplish this effectively. The distinctive feature of these curricular materials is the use of simulation-based inference methods, data visualization, and the entire statistical investigation process to improve students’ understanding of the relevance and power of statistics because these approaches are central to statistical thinking and practice.

This project will investigate the integration of engineering design, practices, and thinking into middle school life science curriculum while providing opportunities for students to foster knowledge of and increase interest in life and biosciences. The project will specifically respond to the need to create, implement, and evaluate a model intervention that will advance the knowledge base for establishing and retaining underrepresented minorities in STEM fields.

The project aims to develop and research Intelligent Science Stations, a new genre of interactive science experiences. The Intelligent Science Stations will provide students in kindergarten to 4th grade with hands-on science experiences, augmented by an intelligent agent that offers feedback based on artificial intelligence computer vision. This innovative approach offers evidence-based, personalized support and feedback to children, while also assisting teachers in integrating more inquiry-based science learning into their classrooms. By modeling behaviors like asking questions, making predictions, and explaining scientific phenomena, the interactive AI system helps teachers enhance their classroom experiences.

This project designs, constructs, and field-tests a web-based, online collaborative environment for supporting the teaching and learning of inquiry-based high school physics. Based on an interactive digital workbook environment, the team is customizing the platform to include scaffolds and other supports for learning physics, fostering interaction and collaboration within the classroom, and facilitating a design-based approach to scientific experiments.

This award will support teacher practitioners from the U.S. to attend the 2020 International Mind, Brain, and Education Society (IMBES) conference. The IMBES conference is an opportunity for scholars and educators to come together to engage in reciprocal dialogue about research and practice in biology, education, and the cognitive and developmental sciences.