Achievement/Growth

Extending and Investigating the Impact of the High School Model-based Educational Resource (Collaborative Research: Wilson)

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.

Lead Organization(s): 
Award Number: 
1813538
Funding Period: 
Wed, 08/01/2018 to Sun, 07/31/2022
Full Description: 

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. In classrooms using MBER, modeling serves as an anchoring practice that keeps the inquiry tied to the goal of making sense of the world, helping teachers to engage their students in a range of cognitive and social activities that lead to deep understanding of scientific ideas. This 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. This funding 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. The study will address the general research question: What is the impact of the Model Based Educational Resource (MBER) on high school students' science achievement, and what factors influence that impact? In addition to generating important research findings, the materials revised and studied in this project will be open-source and freely available to teachers and schools.

This study addresses a significant gap in the research on next generation curriculum materials. While there is emerging agreement about the importance of instructional materials in supporting teachers in effectively engaging students in the practices of science, there is very little empirical evidence to support such claims. The goal of this project is to study the impact of the MBER program through a cluster randomized trial and expand the promise of efficacy and feasibility established in previous work. This study will be able to make causal claims by using an experimental design in which 32 high school teachers serve as their own controls, and by using multi-level modeling in the analysis. This study will advance the field's knowledge about the impact of innovative materials on student learning, measured by both project-level assessments and the state science test. Exploratory research questions will examine a) how using the MBER program develops teachers' vision of the Next Generation Science Standards, b) how student learning is mediated by the fidelity of implementation of the materials, c) how teachers interact with materials designed to be modified for their classroom context, and d) to what extent the MBER materials provide equitable opportunities to learn and close achievement gaps.

Strengthening Data Literacy across the Curriculum (SDLC)

This project is developing and studying high school curriculum modules that integrate social justice topics with statistical data investigations to promote skills and interest in data science among underrepresented groups in STEM.

Award Number: 
1813956
Funding Period: 
Sun, 07/01/2018 to Wed, 06/30/2021
Full Description: 

The Strengthening Data Literacy across the Curriculum (SDLC) project is an exploratory/early stage design and development effort that aims to promote understanding of core statistical concepts and interest in quantitative data analysis among high school students from underrepresented groups in STEM. Led by a collaboration of researchers and developers at Education Development Center (EDC), statistics educators at California Polytechnic State University (Cal Poly), and technology developers at The Concord Consortium, the project is creating and studying a set of curriculum modules targeted to high school students who are taking mathematics or statistics classes that are not at advanced-placement (AP) levels. Iteratively developed and tested in collaboration with high school statistics and social studies teachers, the modules consist of applied data investigations structured around a four-step data investigation cycle that engage students in explorations of authentic social science issues using large-scale data sets from the U.S. Census Bureau. The project hypothesizes that students who engage in guided investigations using data visualization tools to explore and visualize statistical concepts may develop deeper understandings of these concepts as well as the data investigation process. Similarly, high school students – particularly those from historically marginalized groups who are underrepresented in STEM fields – may develop greater interest in statistics when they can use data to examine patterns of social and economic inequality and questions related to social justice.

One module, Investigating Income Inequality in the U.S., focuses on describing, comparing, and making sense of quantitative variables. Students deepen their understanding of this content by investigating questions such as: How have incomes for higher- and lower-income individuals in the U.S. changed over time? How much income inequality exists between males and females in the U.S.? Does education explain the wage gap between males and females? Another module, Investigating Immigration to the U.S., focuses on describing, comparing, and making sense of categorical variables. Students investigate questions such as: Are there more immigrants in the U.S. today than in previous years? Where have immigrants to the U.S. come from, now and in the past? Are immigrants as likely as the U.S. born to be participating in the labor force, after adjusting for education? Students conduct these analyses using the Common Online Data Analysis Platform (CODAP), an open-source set of tools that supports data visualization and conceptual understanding of statistical ideas over calculations. Lessons encourage collaborative inquiry and provide students with experiences in multivariable analysis—an important domain that is underemphasized in current high school mathematics and statistics curricula but critical for analyzing data in a big-data world.

The project is using a mixed methods approach to study three primary research questions: 1) What is the feasibility of implementing SDLC modules, and what supports may teachers and students need to use the modules? 2) In what ways may different features and components of the SDLC modules help to promote positive student learning and interest outcomes? 3) To what extent do students show greater interest in statistics and data analysis, as well as improved understandings of target statistical concepts, after module use? To investigate these questions, the project has worked with 12 mathematics and six social studies teachers in diverse public high schools in Massachusetts and California to conduct iterative research with over 600 students. Through this work, the project aims to build knowledge of curriculum-based approaches that prepare and attract more diverse populations to data science fields.

Improving Multi-Dimensional Assessment and Instruction: Building and Sustaining Elementary Science Teachers' Capacity through Learning Communities (Collaborative Research: Lehman)

The main goal of this project is to better understand how to build and sustain the capacity of elementary science teachers in grades 3-5 to instruct and formatively assess students in ways that are aligned with contemporary science education frameworks and standards. To achieve this goal, the project will use classroom-based science assessment as a focus around which to build teacher capacity in science instruction and three-dimensional learning in science.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1813938
Funding Period: 
Sun, 07/01/2018 to Thu, 06/30/2022
Full Description: 

This is an Early-Stage Design and Development collaborative effort submitted to the assessment strand of the Discovery Research PreK-12 (DRK-12) Program. Its main goal is to better understand how to build and sustain the capacity of elementary science teachers in grades 3-5 to instruct and formatively assess students in ways that are aligned with contemporary science education frameworks and standards. To achieve this goal, the project will use classroom-based science assessment as a focus around which to build teacher capacity in science instruction and three-dimensional learning in science. The three dimensions will include disciplinary core ideas, science and engineering practices, and crosscutting concepts. These dimensions are described in the Framework for K-12 Science Education (National Research Council; NRC, 2012), and the Next Generation Science Standards (NGSS; NGSS Lead States, 2013). The project will work closely with teachers to co-develop usable assessments and rubrics and help them to learn about three-dimensional assessment and instruction. Also, the project will work with teachers to test the developed assessments in diverse settings, and to create an active, online community of practice.

The two research questions will be: (1) How well do these assessments function with respect to aspects of validity for classroom use, particularly in terms of indicators of student proficiency, and tools to support teacher instructional practice?; and (2) In what ways do providing these assessment tasks and rubrics, and supporting teachers in their use, advance teachers' formative assessment practices to support multi-dimensional science instruction? The research and development components of this project will produce assessments and rubrics, which can directly impact students and teachers in the districts and states that have adopted the NGSS, as well as those that have embraced the vision of science teaching and learning embodied in the NRC Framework. The project will consist of five major tasks. First, the effort will iteratively develop assessments and rubrics for formative use, using an evidence-centered design approach. Second, it will collect data from evidence-based revision and redesign of the assessments from teachers piloting the assessments and rubrics, project cognitive laboratory studies with students, and an external review of the assessments design products. Third, it will study teachers' classroom use of assessments to understand and document how they blend assessment and instruction. The project will use pre/post questionnaires, video recordings, observation field notes, and pre/post interviews. Fourth, the study will build the capacity of participating teachers. Teacher Collaborators (n=9) will engage in participatory design of the assessment tasks and act as technical assistants to the overall implementation process. Teacher Implementers (n=15) will use the assessments formatively as part of their instructional practice. Finally, the work will develop a community of learners through the development of a technical assistance infrastructure, and leveraging teacher expertise to formatively assess students' work, using the assessments designed to be diagnostic and instructionally informative. External reviewers and an advisory board will provide formative feedback on the project's processes and summative evaluation of the project's results. The main outcomes of this endeavor will be prototypes of elementary science multi-dimensional assessments and new knowledge for the field on the underlying theory for developing teachers' capacity for engaging in multi-dimensional science instruction, learning, and assessment.

Moving Beyond Pedagogy: Developing Elementary Teachers' Adaptive Expertise in Using the Epistemic Complexity of Science

The Next Generation Science Standards (NGSS) emphasize the integration of scientific knowledge and the practices of science, a recognition that science classrooms are complex learning environments. Meeting this expectation requires teachers to move beyond traditional routines of practice to become adaptive experts who can adjust their teaching to maximize learning in varied classroom situations.

Lead Organization(s): 
Award Number: 
1812576
Funding Period: 
Tue, 05/15/2018 to Sat, 04/30/2022
Full Description: 

The Next Generation Science Standards (NGSS) emphasize the integration of scientific knowledge and the practices of science, a recognition that science classrooms are complex learning environments. Meeting this expectation requires teachers to move beyond traditional routines of practice to become adaptive experts who can adjust their teaching to maximize learning in varied classroom situations. A teacher who has adaptive expertise is defined as someone who can self-assess and strategically adjust decision-making before, during and after teaching episodes. To become adaptive experts, teachers must understand the foundational ways that scientific knowledge is advanced and develop knowledge of, and practices related to, using argument, language, and dialogical environments--individually and collectively--as tools for learning science. To effectively use these tools requires teachers to shift from viewing science teaching as the transfer or replication of knowledge through routines of practices to one in which students are participants in a more cognitively based approach to learning. How teachers develop adaptive expertise for NGSS-aligned learning environments is still little understood. This project will examine the complex nature of the relationship between these learning tools and teacher orientation that enables teachers to develop adaptive expertise over the course of a multi-year professional development program.

The project will work with 150 Grade 3-5 teachers in Iowa and Alabama to implement a three-year professional development program to assist teachers develop adaptive expertise. Through implementation of an argument-based inquiry approach focused on development of adaptiveness, teachers will be supported as they shift their expertise from routine to adaptiveness. Project data will include teachers' implementation of the approach, their understanding of science argument, and their shifting epistemic orientation. The project will examine selected case studies of teachers to better understand the variations in development of adaptive expertise. The project outcome will be a model of adaptive expertise that can be used by in-service and pre-service educators to advance teacher practices towards adaptive expertise. The aim is to design ways to transfer adaptive expertise to students in STEM. The mixed-method project will integrate analyses with a focus on understanding complexity, using large-scale quantitative data.

Measuring Early Mathematical Reasoning Skills: Developing Tests of Numeric Relational Reasoning and Spatial Reasoning

The primary aim of this study is to develop mathematics screening assessment tools for Grades K-2 over the course of four years that measure students' abilities in numeric relational reasoning and spatial reasoning. The team of researchers will develop Measures of Mathematical Reasoning Skills system, which will contain Tests of Numeric Relational Reasoning (T-NRR) and Tests of Spatial Reasoning (T-SR).

Award Number: 
1721100
Funding Period: 
Fri, 09/15/2017 to Tue, 08/31/2021
Full Description: 

Numeric relational reasoning and spatial reasoning are critical to success in later mathematics coursework, including Algebra 1, a gatekeeper to success at the post-secondary level, and success in additional STEM domains, such as chemistry, geology, biology, and engineering. Given the importance of these skills for later success, it is imperative that there are high-quality screening tools available to identify students at-risk for difficulty in these areas. The primary aim of this study is to develop mathematics screening assessment tools for Grades K-2 over the course of four years that measure students' abilities in numeric relational reasoning and spatial reasoning. The team of researchers will develop Measures of Mathematical Reasoning Skills system, which will contain Tests of Numeric Relational Reasoning (T-NRR) and Tests of Spatial Reasoning (T-SR). The measures will be intended for use by teachers and school systems to screen students to determine who is at-risk for difficulty in early mathematics, including students with disabilities. The measures will help provide important information about the intensity of support that may be needed for a given student. Three forms per grade level will be developed for both the T-NRR and T-SR with accompanying validity and reliability evidence collected. 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 development of the T-NRR and T-SR measures will follow an iterative process across five phases. The phases include (1) refining the construct; (2) developing test specifications and item models; (3) developing items; (4) field testing the items; and (5) conducting validity studies. The evidence collected and evaluated during each phase will contribute to the overall evaluation of the reliability of the measures and the validity of the interpretations made using the measures. Item models, test specifications, and item development will be continuously evaluated and refined based on data from cognitive interviews, field tests, and reviews by mathematics educators, teachers of struggling students, teachers of culturally and linguistically diverse populations, and a Technical Advisory Board. In the final phase of development of the T-NRR and T-SR, reliability of the results will be estimated and multiple sources of validity evidence will be collected to examine the concurrent and predictive relation with other criterion measures, classification accuracy, and sensitivity to growth. Approximately 4,500 students in Grades K-2 will be involved in all phases of the research including field tests and cognitive interviews. Data will be analyzed using a two-parameter IRT model to ensure item and test form comparability.


Project Videos

2020 STEM for All Video Showcase

Title: Measuring Early Mathematical Reasoning Skills

Presenter(s): Leanne Ketterlin Geller


Networking Urban Resources with Teachers and University to Enrich Early Childhood Science (NURTURES) Phase II: Expansion and Evaluation

Building on successful prior work, this project simultaneously targets young children's teachers and families/caregivers in an effort to build both parties' capacity to promote student interest in science, technology, engineering and mathematics (STEM) learning.

Lead Organization(s): 
Award Number: 
1721059
Funding Period: 
Fri, 09/01/2017 to Tue, 08/31/2021
Full Description: 

Building on successful prior work, this University of Toledo project, Networking Urban Resources with Teachers and University to enRich Early Childhood Science (NURTURES): Researching the impact of teacher professional development and family engagement on PreK-3 achievement, simultaneously targets young children's teachers and families/caregivers in an effort to build both parties' capacity to promote student interest in science, technology, engineering and mathematics (STEM) learning. Teachers participate in a two-week summer professional development program and receive support across the school year in the form of individualized coaching and participation in professional learning communities. Families receive science inquiry packets (sent home from school) four times a year and attend community STEM events throughout the year. Inquiry packets and community events encourage science inquiry, discourse, and further exploration of key science ideas. Project participants will include 120 teachers, 2,400 PreK-3 children and over 7,200 family members in Ohio and Michigan.

Extending the initial NURTURES project, developed with NSF Math and Science Partnership funding, this follow-up project aims to: 1) Transform early childhood science teaching based upon Next Generation Science Standards (NGSS) to measurably increase student science, literacy, and math achievement, and 2) Engage families of PreK-3 students in science inquiry practices to measurably improve student science, literacy, and math achievement. A particularly important facet of this follow-up project is the research effort to parse and understand how each component (teacher professional development versus family engagement) impacts student learning. The project will use a randomized control group research design (RCT) to compare student achievement outcomes among three groups: Children whose teachers received professional development and family engagement activities, children whose teachers received only professional development, and a control group. The project will use standardized tests (the TerraNova Complete Battery) to measure impact on learning gains in science, mathematics, reading, and early literacy for children in grades K- 3. The Lens on Science assessment will measure science learning in preschool children. This project will result in an NGSS-based program for teachers and families that has been systematically tested and may ultimately be scaled up to an impact study and dissemination at a broad level.

A Partnership to Adapt, Implement and Study a Professional Learning Model and Build District Capacity to Improve Science Instruction and Student Understanding (Collaborative Research: Borko)

This project will work in partnership with the Santa Clara Unified School District (SCUSD) to adapt a previously designed Professional Learning (PL) model based on the District's objectives and constraints to build the capacity of teacher leaders and a program coordinator to implement the adapted PL program. The project is examining the sustainability and scalability of a PL model that supports the development of teachers' pedagogical content knowledge and instructional practices.

Lead Organization(s): 
Award Number: 
1720930
Funding Period: 
Sun, 10/01/2017 to Thu, 09/30/2021
Full Description: 

The Lawrence Hall of Science (the Hall) and Stanford University teams have previously developed and tested the efficacy of a program of Professional Learning (PL) which is focused on improving teachers' ability to support students' ability to engage in scientific argumentation. Key components of the PL model include a week-long summer institute and follow-up sessions during the academic year that incorporate additional pedagogical input, video reflection, and planning time. In this project, the Hall and Stanford are working in partnership with the Santa Clara Unified School District (SCUSD) to adapt the PL model based on the District's objectives and constraints, to build the capacity of teacher leaders and a program coordinator to implement the adapted PL program. This will enable the District to continue to adapt and implement the program independently at the conclusion of the project. Concurrently, the project is studying the adaptability of the PL model and the effectiveness of its implementation, and is developing guidelines and tools for other districts to use in adapting and implementing the PL model in their local contexts. Thus, this project is contributing knowledge about how to build capacity in districts to lead professional learning in science that addresses the new teaching and learning standards and is responsive to the needs of their local context.

The project is examining the sustainability and scalability of a PL model that supports the development of teachers' pedagogical content knowledge and instructional practices, with a particular focus on engaging students in argument from evidence. Results from the Hall and Stanford's previous research project indicate that the PL model is effective at significantly improving teachers' and students' classroom discourse practices. These findings suggest that a version of the model, adapted to the context and needs of a different school district, has the potential to improve the teaching of science to meet the demands of the current vision of science education. Using a Design-Based Implementation Research approach, this project is (i) working with SCUSD to adapt the PL model; (ii) preparing a district project coordinator and cadre of local teacher leaders (TLs) to implement and further adapt the model; and (iii) studying the adaptation and implementation of the model. The outcomes will be: a) a scalable PL model that can be continually adapted to the objectives and constraints of a district; b) a set of activities and resources for the district to prepare and support the science teacher leaders who will implement the adapted PL program internally with other teachers; and c) knowledge about the adaptations and resources needed for the PL model to be implemented independently by other school districts. The team also is researching the impact of the program on classroom practices and student learning.


Project Videos

2020 STEM for All Video Showcase

Title: Accomplishments and Struggles in a 3-Way RPP

Presenter(s): Emily Weiss, Hilda Borko, Coralie Delhaye, Jonathan Osborne, Emily Reigh, Tricia Ringel, Craig Strang, & Krista Woodward

2019 STEM for All Video Showcase

Title: Building District Leadership in Scientific Argumentation

Presenter(s): Coralie Delhaye, Emily Reigh, & Emily Weiss

2018 STEM for All Video Showcase


Integrating Chemistry and Earth Science

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.

Award Number: 
1721163
Funding Period: 
Tue, 08/15/2017 to Wed, 07/31/2019
Full Description: 

This Integrating Chemistry and Earth science (ICE) 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. The overarching goal of the project is to develop teacher capacity to teach and evaluate student abilities to use the practices of scientists and concepts from Earth science and chemistry to understand important phenomena in their immediate, familiar environments. The project has the potential to serve as a model for how to make cutting edge science directly accessible to all students. The project is a collaborative effort that engages scientists, science education researchers, curriculum developers, school curriculum and instruction leaders, and science teachers in the longer term challenge of infusing Earth science concepts and practices across the core high school science courses.

Current guidelines and standards for science education promote learning that engages students in three interrelated dimensions: disciplinary core ideas, scientific practices, and crosscutting ideas. This project is guided by the hypothesis that when provided sustained opportunities to engage in three-dimensional learning experiences, in an integrated Earth science and chemistry context, students will improve in their ability to demonstrate the coordination of disciplinary core ideas, scientific practices, and crosscutting concepts when solving problems and developing explanations related to scientific phenomena. This project will employ a design based research approach, and during the two development-enactment-analysis-and-redesign cycles, the project team will collect student assessment data, teacher interview data, observational data from lessons, teacher surveys, and reflective teacher logbooks. These collected data will provide information about how teachers implement the lessons, what students do during the lessons, and what students learn from them that will lead to better design and a better understanding of student learning. This information will be used to inform the modification of lessons from cycle to cycle, and to inform the professional development materials for teachers. The research agenda for the project is guided by the following questions: 1. What are the design features of ICE lessons that support teachers in enacting three-dimensional instruction within the context of their classroom? 2. What are the design features of embedded three-dimensional assessments that yield useful classroom data for teachers and researchers regarding their students' abilities to integrate core ideas, scientific practices, and crosscutting concepts? 3. What is the nature of student learning related to disciplinary core ideas, scientific practices, and crosscutting concepts that results from students' engagement in ICE lesson sets? 4. What differences emerge in student engagement and learning outcomes for ICE lessons that incorporate local phenomena or data sets as compared to lessons that do not? 5. What contextual factors (i.e., school context, administrative support, time constraints, etc.) influence teachers' implementation of three-dimensional instruction embedded within ICE lessons?


Project Videos

2019 STEM for All Video Showcase

Title: Integrating Chemistry and Earth Science (ICE)

Presenter(s): Alan Berkowitz, Vonceil Anderson, Bess Caplan, Kevin Garner, & Jonathon Grooms


Integration of Engineering Design and Life Science: Investigating the Influence of an Intervention on Student Interest and Motivation in STEM Fields

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.

Lead Organization(s): 
Award Number: 
1721141
Funding Period: 
Fri, 09/01/2017 to Tue, 08/31/2021
Full Description: 

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. Specifically, the project will partner with middle school science teachers from two local school corporations, STEM university faculty members and undergraduate engineering students, and university-based outreach coordinators from a minorities engineering program, the office of future engineers, and women in engineering program. Through this combined effort, both school corporations that serve underserved, culturally diverse, and socioeconomically disadvantaged students in rural communities; will have broad-based support for engaging 36 teachers and 3000 students in integrated life science with engineering design.

The project will employ a mixed methods research design incorporating both qualitative and quantitative approaches for data collection and analyses. The research team will conduct quantitative analyses by using Hierarchical Linear Modeling to determine the extent to which integrating life science with engineering design and thinking impact student learning of life science concepts and interest in life and biosciences. Qualitative approaches, including discourse analysis, will be used to delve deeper into student learning of the targeted life science concepts. Through this research, the project will advance evidence-based understanding of learning, enhance the theoretical models of student life science learning, and merge and extend the successes of previous studies by using the faculty expertise in effective approaches in engineering integration in K-12 science classrooms. Specifically, concept assessments, interest surveys, recordings of classroom discourse, student artifacts (e.g., design reports), interviews, and classroom observations will be used as data sources. Outcomes from the project will advance the knowledge base for establishing and retaining underrepresented minorities in STEM fields. The life STEM focused design tasks will be disseminated through an online peer-reviewed digital library available for use across the U.S. and beyond. Along with the design-based tasks on this website; results from the intervention model will be disseminated through electronic and print media to inform researchers, educators, administrators, and policy makers who play critical roles in enhancing student learning of and interest in STEM, about pathways to broadening participation in STEM.

Science and Engineering Education for Infrastructure Transformation

This project focuses on the research and develop an engineering education technology and pedagogy that will support project-based learning of science, engineering, and computation concepts and skills underlying the strategically important "smart" and "green" aspects of the infrastructure. The project will develop transformative technologies and curriculum materials to turn the campus of a high school or a geographical information system such as Google Maps into an engineering laboratory with virtually unlimited opportunities for learning and exploration.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1721054
Funding Period: 
Sun, 10/01/2017 to Thu, 09/30/2021
Full Description: 

The Concord Consortium in collaboration with Purdue University will research and develop an engineering education technology and pedagogy that will support project-based learning of science, engineering, and computation concepts and skills underlying the strategically important "smart" and "green" aspects of the infrastructure. This project will develop transformative technologies and curriculum materials to turn the campus of a high school or a geographical information system such as Google Maps into an engineering laboratory with virtually unlimited opportunities for learning and exploration. The project will deliver two innovations: 1) The Smart High School is an engineering platform for designing Internet of Things systems for managing the resources, space, and processes of a school based on real-time analysis of data collected by various sensors deployed by students on campus; and 2) the Virtual Solar World is a computational modeling platform for students to design, deploy, and connect virtual solar power solutions for their homes, schools, and regions. Six standards-aligned curriculum units based on these technologies will be developed to guide student learning and support educational research. Approximately 2,000 students from rural, suburban, and urban high schools in Indiana, Massachusetts, New Hampshire, and Ohio will participate in this research. project products and findings through the Internet, conferences, publications, and partner networks.

The research is designed to identify technology-enhanced instructional strategies that can simultaneously foster the growth of skills and self-efficacy in scientific reasoning, design thinking, and computational thinking, all of which are needed to build the future infrastructure. The focus on infrastructure transformation is aligned with NSF's vision of smart and connected communities. Although this project will use the context of smart and green infrastructure to engage students to solve real-world problems, the skills of scientific reasoning, design thinking, and computational thinking that they will acquire through meeting the challenges of this project can be transferrable to other topics and fields. Using a design-based research approach, a rich set of formative and summative data will be collected from these students for probing into three research questions: 1) To what extent does the integrated learning model help students develop and connect scientific reasoning, design thinking, and computational thinking skills?; 2) To what extent is students' interest in cognate careers affected by the authenticity of engineering design challenges?; and 3) How do the variations in the solutions to overcome the cognitive and practical difficulties of real-world problems impact learning outcomes and career interest? The data sources include pre/post-tests, process data, self-reports, observations, surveys, interviews, and participant information.

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