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.
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.
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 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.
One of the best ways to help K-12 students learn science is by having them engage in the scientific inquiry and engineering design processes used by STEM professionals. Unfortunately, support for the development of high-quality, place-based, and NGSS-aligned learning experiences that actively engage students has not been forthcoming in all school districts. This gap is particularly true for rural schools and communities. Further, continuing education for teachers, which is essential to assure successful implementation of high-quality science lessons that are grounded in students' local community experiences, is lacking as well. This partnership development project addresses these gaps in science teaching and learning by deepening an existing partnership among local non-profit community education organizations, K-12 public schools, and local university partners. In consultation with new education technology industry partners, the project team will work collaboratively to develop high-quality NGSS-aligned science learning opportunities that actively engage students in lessons relevant to their local environment.
This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDataScience (LogicDS) curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students. The strategy behind this curriculum development for data science explores the utility of emphasizing how the foundations of data science in computing, mathematics, and statistics are unified by mathematical logic. The project is studying the impacts of the new curriculum on students’ learning of computing, mathematics, and statistics.
This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDataScience (LogicDS) curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students. The strategy behind this curriculum development for data science explores the utility of emphasizing how the foundations of data science in computing, mathematics, and statistics are unified by mathematical logic. The project is studying the impacts of the new curriculum on students’ learning of computing, mathematics, and statistics.
This project is an innovative exploratory research study focused on developing a high school environmental engineering curriculum that addresses the challenges posed by climate change. The curriculum follows a model-validate-iterate design paradigm, where students model dynamic real-world systems, validate their models using data, and create multiple iterations to explore changes in the system over time. The project aims to cultivate a new generation of environmental engineers who possess the necessary skills to analyze complex systems, collaborate with diverse communities, and develop creative solutions.
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 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.
This project engages children in classrooms across the country in an authentic investigation of Devonian fossils. Goals include supporting children in the use of evidence in constructing explanations of natural phenomena, and motivating culturally and linguistically diverse groups of children to engage in learning science. Deliverables include development and testing of an interactive website where children learn how to identify the fossils they find and add their own data to an emerging database.
This project will develop and investigate the opportunities and limitations of Focus on Energy, a professional development (PD) system for elementary teachers (grades 3-5). The PD will contain: resources that will help teachers to interpret, evaluate and cultivate students' ideas about energy; classroom activities to help them to identify, track and represent energy forms and flows; and supports to help them in engaging students in these activities.
This project explores the ways in which thoughtfully designed simulations can provide preservice teachers with formative assessment opportunities that serve as a complement to, or alternative to as needed, feedback derived from field placement contexts. A set of simulations will be designed with a focus on eliciting and interpreting student thinking. These simulations will be used with preservice teachers in three elementary teacher preparation programs of varying size and demographics.
This project is developing a week-long unit of activities focused on the cryosphere, implementing the activities with students, and studying the activities’ effectiveness. The overarching goals of this project are to build a sequence of scaffolded investigations that will help students more fully understand the cryosphere; and investigate the effectiveness of the sequence of and investigations at helping students understand how and why a component of the Earth system varies over time.
This project builds on a line of work that has developed and studied the Model Based Educational Resource (MBER), a year-long curriculum for high school biology. The project will generate rigorous causal evidence on how this approach to biology teaching and learning can support student learning, and foundational information on how to support high school teachers in improving their teaching. It will also provide resources to expand and update MBER to reflect the changing high school science landscape by integrating Earth Science standards into the year long sequence.
This project builds on a line of work that has developed and studied the Model Based Educational Resource (MBER), a year-long curriculum for high school biology. The project will generate rigorous causal evidence on how this approach to biology teaching and learning can support student learning, and foundational information on how to support high school teachers in improving their teaching. It will also provide resources to expand and update MBER to reflect the changing high school science landscape by integrating Earth Science standards into the year long sequence.
This project will integrate Native Hawaiian cross-cultural practices to explore ways to help teachers know about and know how to connect resources of students' familiar worlds to their science teaching. This project will transform the ways teachers orient their teaching at the upper elementary and middle grades through professional development courses offered at the University of Hawaii at Manoa.
This project will examine the impact on mathematics learning of an initiative to provide kindergartners in an urban school district with personal tablet devices that include free, widely available digital mathematics resources. The research questions examine how teachers use table-based mathematics resources during instruction, how caregivers and children engage with table-based mathematics resources, and how the resources then relate to kindergartners mathematics learning.
The project will develop a teacher professional learning (PL) model that focuses on middle-school biological sciences in addressing real world problems. Systems thinking is central to understanding biology systems. Game design has been shown to help develop systems thinking in teachers and students. Students will participate in PL to illustrate the value of distributed expertise by sharing their knowledge of computer. Teachers will adapt their existing curriculum and will co-design games with students to experience participatory practices.
This project researches the use of cyberinfrastructure to implement a strategy for using online telescopes as a laboratory to engage middle and high school students in cutting edge science research while providing them with significant new opportunities to apply STEM concepts, practice inquiry, and design and learn about the nature of scientific discovery.
This project is developing evidence about the efficacy of the Engineering is Elementary curriculum under ideal conditions by studying the student and teacher-level effects of implementation. The project seeks to determine the core elements of the curriculum that support successful use. The findings from this study have broad implications for how engineering design curricular can be developed and implemented at the elementary level.
This project will explore PK-2 teachers' content knowledge by investigating their understanding of the design and implementation of culturally relevant computer science learning activities for young children. The project team will design a replicable model of PK-2 teacher professional development to address the lack of research in early computer science education.
This research study examines the potential of integrating student-driven descriptive investigations of complex multivariate civic datasets into middle school social studies classrooms. It uses a collaborative co-design process to develop data-rich experiences for the social studies classroom crafted to 1) deepen students' data literacy, 2) develop students' sense of efficacy in working with civic data sets, and 3) create learning experiences that connect data to local problems that have meaning for students and their communities.