Career Interests

CAREER: Multilevel Mediation Models to Study the Impact of Teacher Development on Student Achievement in Mathematics

This project will develop a comprehensive framework to inform and guide the analytic design of teacher professional development studies in mathematics. An essential goal of the research is to advance a science of teaching and learning in ways that traverse both research and education.

Lead Organization(s): 
Award Number: 
1552535
Funding Period: 
Thu, 09/01/2016 to Tue, 08/31/2021
Full Description: 

This is a Faculty Early Career Development Program (CAREER) project. The CAREER program is a National Science Foundation-wide activity that offers the most prestigious awards in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research. The intellectual merit and broader impacts of this study lie in two complementary contributions of the project. First, the development of the statistical framework for the design of multilevel mediation studies has significant potential for broad impact because it develops a core platform that is transferable to other STEM (science, technology, engineering, and mathematics) education areas and STEM disciplines. Second, the development of software and curricular materials to implement this framework further capitalize on the promise of this work because it distributes the results in an accessible manner to diverse sets of research and practitioner groups across STEM education areas and STEM disciplines. Together, the components of this project will substantially expand the scope and quality of evidence generated through mathematics professional development and, more generally, multilevel mediation studies throughout STEM areas by increasing researchers' capacity to design valid and comprehensive studies of the theories of action and change that underlie research programs.

This project will develop a comprehensive framework to inform and guide the analytic design of teacher professional development studies in mathematics. The proposed framework incorporates four integrated research and education components: (1) develop statistical formulas and tools to guide the optimal design of experimental and non-experimental multilevel mediation studies in the presence of measurement error, (2) develop empirical estimates of the parameters needed to implement these formulas to design teacher development studies in mathematics, (3) develop free and accessible software to execute this framework, and (4) develop training materials and conduct workshops on the framework to improve the capacity of the field to design effective and efficient studies of teacher development. An essential goal of the research is to advance a science of teaching and learning in ways that traverse both research and education.

Exploring Ways to Transform Teaching Practices to Increase Native Hawaiian Students' Interest in STEM

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.

Lead Organization(s): 
Award Number: 
1551502
Funding Period: 
Tue, 09/01/2015 to Fri, 08/31/2018
Full Description: 

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 research is needed since Native Hawaiians are often stereotyped as poor learners; the available STEM workforce falls short of meeting the demands of STEM employers in the state; and as the largest group of public school enrollees, data show a greater decline in percent of students meeting or exceeding proficiency in science at higher grade levels. This project will address these issues by transforming 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.

The professional development model for teachers will be situated in the larger national and global contexts of an increasingly technology oriented, urbanized society with associated marginalization of indigenous people whose traditional ecological knowledge and indigenous languages are often overlooked. Guided by the cultural mental model theory and a mixed methods approach, data will be collected through document analysis, surveys, individual and focus group interviews, and pre-post assessments. This approach will capture initials findings about the influence of the professional development model on teaching and learning in science. The end products from this project will be an improved professional development model that is more sensitive to contexts that promote learning by Native Hawaiian students. It will also produce a survey instrument to assess student interest and engagement in science learning whose teachers will have participated in the professional development model being explored. Both outcomes will potentially be instrumental in changing the way approximately 2000 Native Hawaiian students learn about and become more interested in STEM fields through their natural world.

Mathematical and Computational Methods for Planning a Sustainable Future II

The project will develop modules for grades 9-12 that integrate mathematics, computing and science in sustainability contexts. The project materials also include information about STEM careers in sustainability to increase the relevancy of the content for students and broaden their understanding of STEM workforce opportunities. It uses summer workshops to pilot test materials and online support and field testing in four states. 

Lead Organization(s): 
Award Number: 
1503414
Funding Period: 
Wed, 07/15/2015 to Sun, 06/30/2019
Full Description: 

The project will develop modules for grades 9-12 that integrate mathematics, computing and science in sustainability contexts. The project materials also include information about STEM careers in sustainability to increase the relevancy of the content for students and broaden their understanding of STEM workforce opportunities. It uses summer workshops to pilot test materials and online support and field testing in four states. Outcomes include the modules, tested and revised; strategies for transfer of learning embedded in the modules; and a compendium of green jobs, explicitly related to the modules. The Discovery Research K-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. The STEM+Computing Partnerships (STEM+C) Program is a joint effort between the Directorate for Education & Human Resources (EHR) and Directorate Computer & Information Science & Engineering (CISE). Reflecting the increasing role of computational approaches in learning across the STEM disciplines, STEM+C supports research and development efforts that integrate computing within one or more STEM disciplines and/or integrate STEM learning in computer science; 2) advance multidisciplinary, collaborative approaches for integrating computing in STEM in and out of school, and 3) build capacity in K-12 computing education through foundational research and focused teacher preparation

The project is a full design and development project in the learning strand of DRK-12. The goal is to enhance transfer of knowledge in mathematics and science via sustainability tasks with an emphasis on mathematical and scientific practices. The research questions focus on how conceptual representations and the modules support students' learning and especially transfer to novel problems. The project design integrates the research with the curriculum development. It includes a mixed methods data collection and analysis from teachers and students (e.g., interviews, content exams, focus groups, implementation logs). Assessment of student work includes both short, focused problems in the content area and longer project-based tasks providing a range of assessments of student learning. The investigators will develop a rubric for scoring student work on the tasks. The curriculum design process includes iterations of the modules over time with feedback from teachers and using data collected from the implementation.

Quality Urban Ecology Science Teaching for Diverse Learners

This project will examine the relationship between teacher professional development associated with newly developed modules in urban ecology and the achievement and engagement of long-term English learners (LTEL).  Existing Urban Ecology learning modules will be enhanced to accommodate the needs of LTELs, and teachers will participate in professional development aimed at using the new materials to effectively integrate academic science discourse and literacy development for LTELs.

Lead Organization(s): 
Award Number: 
1503519
Funding Period: 
Sat, 08/01/2015 to Fri, 05/31/2019
Full Description: 

The Discovery Research K-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. This exploratory research project will examine the relationship between teacher professional development associated with newly developed modules in urban ecology and the achievement and engagement of long-term English learners (LTEL). Participants in the project will include students in grades 4-8 in a large urban school district, elementary school teachers, middle school science teachers, and middle school teachers of English language arts. Existing Urban Ecology learning modules will be enhanced to accommodate the needs of LTELs, and teachers will participate in professional development aimed at using the new materials to effectively integrate academic science discourse and literacy development for LTELs.

The project will develop two enhanced urban ecology modules (47 lessons) for English learners in grades 4-8; science language and literacy assessments for English language learners (ELLs); an ELL STEM career awareness inventory; an urban ecology for ELLs teacher knowledge scale, and an urban ecology for ELLs pedagogy observation protocol. The materials will be tested with a stratified random sample of students identified by achievement level (low, medium, and high) and linguistic background (mainstream, LTEL, and "at risk" of becoming LTEL). A mixed-methods research design will be used to test the hypothesis that the quantity and quality of LTEL science language and literacy achievement will increase as a result of teacher participation in implementing the newly developed transdisciplinary framework for Urban Ecology for English Learners.

PBS NewsHour STEM Student Reporting Labs: Broad Expansion of Youth Journalism to Support Increased STEM Literacy Among Underserved Student Populations and Their Communities

The production of news stories and student-oriented instruction in the classroom are designed to increase student learning of STEM content through student-centered inquiry and reflections on metacognition. This project scales up the PBS NewsHour Student Reporting Labs (SRL), a model that trains teens to produce video reports on important STEM issues from a youth perspective.

Award Number: 
1503315
Funding Period: 
Sat, 08/01/2015 to Wed, 07/31/2019
Full Description: 

The Discovery Research K-12 program (DR-K12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. This project scales up the PBS NewsHour Student Reporting Labs (SRL), a model that trains teens to produce video reports on important STEM issues from a youth perspective. Participating schools receive a SRL journalism and digital media literacy curriculum, a mentor for students from a local PBS affiliate, professional development for educators, and support from the PBS NewsHour team. The production of news stories and student-oriented instruction in the classroom are designed to increase student learning of STEM content through student-centered inquiry and reflections on metacognition. Students will develop a deep understanding of the material to choose the best strategy to teach or tell the STEM story to others through digital media. Over the 4 years of the project, the model will be expanded from the current 70 schools to 150 in 40 states targeting schools with high populations of underrepresented youth. New components will be added to the model including STEM professional mentors and a social media and media analytics component. Project partners include local PBS stations, Project Lead the Way, and Share My Lesson educators.

The research study conducted by New Knowledge, LLC will add new knowledge about the growing field of youth science journalism and digital media. Front-end evaluation will assess students' understanding of contemporary STEM issues by deploying a web-based survey to crowd-source youth reactions, interest, questions, and thoughts about current science issues. A subset of questions will explore students' tendencies to pass newly-acquired information to members of the larger social networks. Formative evaluation will include qualitative and quantitative studies of multiple stakeholders at the Student Reporting Labs to refine the implementation of the program. Summative evaluation will track learning outcomes/changes such as: How does student reporting on STEM news increase their STEM literacy competencies? How does it affect their interest in STEM careers? Which strategies are most effective with underrepresented students? How do youth communicate with each other about science content, informing news media best practices? The research team will use data from pre/post and post-delayed surveys taken by 1700 students in the STEM Student Reporting Labs and 1700 from control groups. In addition, interviews with teachers will assess the curriculum and impressions of student engagement.


Project Videos

2019 STEM for All Video Showcase

Title: How Video Storytelling Reengages Teenagers in STEM Learning

Presenter(s): Leah Clapman & William Swift

2018 STEM for All Video Showcase

Title: PBS NewsHour's STEM SRL Transforms Classrooms into Newsrooms

Presenter(s): Leah Clapman & William Swift

2017 STEM for All Video Showcase

Title: PBS is Building the Next Generation of STEM Communicators

Presenter(s): Leah Clapman, John Fraser, Su-Jen Roberts, & Bill Swift


Teaching Environmental Sustainability - Model My Watershed (Collaborative Research: Staudt)

This project will develop curricula for environmental/geoscience disciplines for high-school classrooms. The Model My Watershed (MMW) v2 app will bring new environmental datasets and geospatial capabilities into the classroom, to provide a cloud-based learning and analysis platform accessible from a web browser on any computer or mobile device, thus overcoming the cost and technical obstacles to integrating Geographic Information System technology in secondary education.

Lead Organization(s): 
Award Number: 
1417722
Funding Period: 
Mon, 09/01/2014 to Fri, 08/31/2018
Full Description: 

This project will develop curricula for environmental/geoscience disciplines for high-school classrooms. It will teach a systems approach to problem solving through hands-on activities based on local data and issues. This will provide an opportunity for students to act in their communities while engaging in solving problems they find interesting, and require synthesis of prior learning. The Model My Watershed (MMW) v2 app will bring new environmental datasets and geospatial capabilities into the classroom, to provide a cloud-based learning and analysis platform accessible from a web browser on any computer or mobile device, thus overcoming the cost and technical obstacles to integrating Geographic Information System technology in secondary education. It will also integrate new low-cost environmental sensors that allow students to collect and upload their own data and compare them to data visualized on the new MMW v2. This project will transform the ability of teachers throughout the nation to introduce hands-on geospatial analysis activities in the classroom, to explore a wide range of geographic, social, political and environmental concepts and problems beyond the project's specific curricular focus.

The Next Generation Science Standards state that authentic research experiences are necessary to enhance STEM learning. A combination of computational modeling and data collection and analysis will be integrated into this project to address this need. Placing STEM content within a place- and problem-based framework enhances STEM learning. Students, working in groups, will not only design solutions, they will be required to defend them within the application portal through the creation of multimedia products such as videos, articles and web 2.0 presentations. The research plan tests the overall hypothesis that students are much more likely to develop an interest in careers that require systems thinking and/or spatial thinking, such as environmental sciences, if they are provided with problem-based, place-based, hands-on learning experiences using real data, authentic geospatial analysis tools and models, and opportunities to collect their own supporting data. The MMW v2 web app will include a data visualization tool that streams data related to the modeling application. This database will be modified to integrate student data so teachers and students can easily compare their data to data collected by other students and the government and research data. All data will be easily downloadable so that students can increase the use of real data to support the educational exercises. As a complement to the model-based activities, the project partners will design, manufacture, and distribute a low-cost environmental monitoring device, called the Watershed Tracker. This device will allow students to collect real-world data to enhance their understanding of watershed dynamics. Featuring temperature, light, humidity, and soil moisture sensors, the Watershed Tracker will be designed to connect to tablets and smartphones through the audio jack common to all of these devices.

Teaching Environmental Sustainability - Model My Watershed (Collaborative Research: Kerlin)

This project will develop curricula for environmental/geoscience disciplines for high-school classrooms. The Model My Watershed (MMW) v2 app will bring new environmental datasets and geospatial capabilities into the classroom, to provide a cloud-based learning and analysis platform accessible from a web browser on any computer or mobile device, thus overcoming the cost and technical obstacles to integrating Geographic Information System technology in secondary education.

Lead Organization(s): 
Award Number: 
1418133
Funding Period: 
Mon, 09/01/2014 to Fri, 08/31/2018
Project Evaluator: 
Education Design
Full Description: 

This project will develop curricula for environmental/geoscience disciplines for high-school classrooms. It will teach a systems approach to problem solving through hands-on activities based on local data and issues. This will provide an opportunity for students to act in their communities while engaging in solving problems they find interesting, and require synthesis of prior learning. The Model My Watershed (MMW) v2 app will bring new environmental datasets and geospatial capabilities into the classroom, to provide a cloud-based learning and analysis platform accessible from a web browser on any computer or mobile device, thus overcoming the cost and technical obstacles to integrating Geographic Information System technology in secondary education. It will also integrate new low-cost environmental sensors that allow students to collect and upload their own data and compare them to data visualized on the new MMW v2. This project will transform the ability of teachers throughout the nation to introduce hands-on geospatial analysis activities in the classroom, to explore a wide range of geographic, social, political and environmental concepts and problems beyond the project's specific curricular focus.

The Next Generation Science Standards state that authentic research experiences are necessary to enhance STEM learning. A combination of computational modeling and data collection and analysis will be integrated into this project to address this need. Placing STEM content within a place- and problem-based framework enhances STEM learning. Students, working in groups, will not only design solutions, they will be required to defend them within the application portal through the creation of multimedia products such as videos, articles and web 2.0 presentations. The research plan tests the overall hypothesis that students are much more likely to develop an interest in careers that require systems thinking and/or spatial thinking, such as environmental sciences, if they are provided with problem-based, place-based, hands-on learning experiences using real data, authentic geospatial analysis tools and models, and opportunities to collect their own supporting data. The MMW v2 web app will include a data visualization tool that streams data related to the modeling application. This database will be modified to integrate student data so teachers and students can easily compare their data to data collected by other students and the government and research data. All data will be easily downloadable so that students can increase the use of real data to support the educational exercises. As a complement to the model-based activities, the project partners will design, manufacture, and distribute a low-cost environmental monitoring device, called the Watershed Tracker. This device will allow students to collect real-world data to enhance their understanding of watershed dynamics. Featuring temperature, light, humidity, and soil moisture sensors, the Watershed Tracker will be designed to connect to tablets and smartphones through the audio jack common to all of these devices.

EarSketch: An Authentic, Studio-based STEAM Approach to High School Computing Education

This project will study the influence on positive student achievement and engagement (particularly among populations traditionally under-represented in computer science) of an intervention that integrates a computational music remixing tool -EarSketch- with the Computer Science Principles, a view of computing literacy that is emerging as a new standard for Advanced Placement and other high school computer science courses.

Award Number: 
1417835
Funding Period: 
Fri, 08/01/2014 to Tue, 07/31/2018
Project Evaluator: 
Mary Moriarity
Full Description: 

This project will study the influence on positive student achievement and engagement (particularly among populations traditionally under-represented in computer science) of an intervention that integrates a computational music remixing tool -EarSketch- with the Computer Science Principles, a view of computing literacy that is emerging as a new standard for Advanced Placement and other high school computer science courses. The project is grounded on the premise that EarSketch, a STEM + Art (STEAM) learning environment, embodies authenticity (i.e., its cultural and industry relevance in both arts and STEM domains), along with a context that facilitates communication and collaboration among students (i.e., through a studio-based learning approach). These elements are critical to achieving successful outcomes across diverse student populations. Using agent-based modeling, the research team will investigate what factors enhance or impede implementation of authentic STEAM tools in different school settings.

The researchers will be engaged in a multi-stage process to develop: a) an implementation-ready, web-based EarSketch learning environment that integrates programming, digital audio workstation, curriculum, audio loop library, and social sharing features, along with studio-based learning functionality to support student presentation, critique, discussion, and collaboration; and b) an online professional learning course for teachers adopting EarSketch in Computer Science Principles courses. Using these resources, the team will conduct a quasi-experimental study of EarSketch in Computer Science Principles high school courses across the state of Georgia; measure student learning and engagement across multiple demographic categories; and determine to what extent an EarSketch-based CS Principles course promotes student achievement and engagement across different student populations. The project will include measures of student performance, creativity, collaboration, and communication in student programming tasks to determine the extent to which studio-based learning in EarSketch promotes success in these important areas. An agent-based modeling framework in multiple school settings will be developed to determine what factors enhance or impede implementation of EarSketch under conditions of routine practice.

Developing and Testing the Internship-inator, a Virtual Internship in STEM Authorware System

The Internship-inator is an authorware system for developing and testing virtual internships in multiple STEM disciplines. In a virtual internship, students are presented with a complex, real-world STEM problem for which there is no optimal solution. Students work in project teams to read and analyze research reports, design and perform experiments using virtual tools, respond to the requirements of stakeholders and clients, write reports and present and justify their proposed solutions. 

Award Number: 
1418288
Funding Period: 
Mon, 09/01/2014 to Fri, 08/31/2018
Full Description: 

Ensuring that students have the opportunities to experience STEM as it is conducted by scientists, mathematicians and engineers is a complex task within the current school context. This project will expand access for middle and high school students to virtual internships, by enabling STEM content developers to design and customize virtual internships. The Internship-inator is an authorware system for developing and testing virtual internships in multiple STEM disciplines. In a virtual internship, students are presented with a complex, real-world STEM problem for which there is no optimal solution. Students work in project teams to read and analyze research reports, design and perform experiments using virtual tools, respond to the requirements of stakeholders and clients, write reports and present and justify their proposed solutions. The researchers in this project will work with a core development network to develop and refine the authorware, constructing up to a hundred new virtual internships and a user group of more than 70 STEM content developers. The researchers will iteratively analyze the performance of the authorware, focusing on optimizing the utility and the feasibility of the system to support virtual internship development. They will also examine the ways in which the virtual internships are implemented in the classroom to determine the quality of the STEM internship design and influence on student learning.

The Intership-inator builds on over ten years of NSF support for the development of Syntern, a platform for deploying virtual internships that has been used in middle schools, high schools, informal science programs, and undergraduate education. In the current project, the researchers will recruit two waves of STEM content developers to expand their current core development network. A design research perspective will be used to examine the ways in which the developers interact with the components of the authorware and to document the influence of the virtual internships on student learning. The researchers will use a quantitative ethnographic approach to integrate qualitative data from surveys and interviews with the developers with their quantitative interactions with the authorware and with student use and products from pilot and field tests of the virtual internships. Data-mining and learning analytics will be used in combination with hierarchical linear modeling, regression techniques and propensity score matching to structure the quasi-experimental research design. The authorware and the multiple virtual internships will provide researchers, developers, and teachers a rich learning environment in which to explore and support students' learning of important college and career readiness content and disciplinary practices. The findings of the use of the authorware will inform STEM education about the important design characteristics for authorware that supports the work of STEM content and curriculum developers.

Centers for Learning and Teaching: Research to Identify Changes in Mathematics Education Doctoral Preparation and the Production of New Doctorates

This project will research the programmatic changes that resulted from the NSF investment in Centers for Learning and Teaching of Mathematics (CLT) at the 31 participating institutions. It will provide information on the core elements of doctoral preparation in mathematics education at the institutions and ways in which participation in the CLTs has changed their programs.

Lead Organization(s): 
Award Number: 
1434442
Funding Period: 
Fri, 08/01/2014 to Tue, 07/31/2018
Full Description: 

The quality of the mathematical education provided to teachers and ultimately to their students depends on the quality of teacher educators at the colleges and universities. For several decades, there has been a shortage of well-prepared mathematics teacher educators. Doctoral programs in mathematics education are the primary ways that these teacher educators learn the content and methods that they need to prepare teachers, but the quality of these programs varies and the number of qualified graduates has been insufficient to meet the demand.

This project will research the programmatic changes that resulted from the NSF investment in Centers for Learning and Teaching of Mathematics (CLT) at the 31 participating institutions. It will provide information on the core elements of doctoral preparation in mathematics education at the institutions and ways in which participation in the CLTs has changed their programs. It will also gather data on the number of doctorates in mathematics education from the CLT institutions prior to the establishment of the CLT and after their CLT ended. A comparison group of Doctoral granting institutions will be studied over the same time frame to determine the number of doctoral students graduated during similar time frames as the CLTs. Follow-up data from graduates of the CLTs will be gathered to identify programmatic strengths and weaknesses as graduates will be asked to reflect on how their doctoral preparation aligned with their current career path. The research questions are: What were the effects of CLTs on the production of new doctorates in mathematics education? What changes were made to doctoral programs in mathematics education by the CLT institutions? How well prepared were the CLT graduates for various career paths?

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