Reasoning Skills

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.

Project Email: 
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.


 Project Videos

2021 STEM for All Video Showcase

Title: Promoting Data Literacy with Social Justice Investigations

Presenter(s): Josephine Louie, Beth Chance, Emily Fagan, Soma Roy, & Jennifer Stiles


A Practice-based Online Learning Environment for Scientific Inquiry with Digitized Museum Collections in Middle School Classrooms

This project will develop and study a prototype online learning environment that supports student learning via Engaging Practices for Inquiry with Collections in Bioscience (EPIC Bioscience), which uses authentic research investigations with digitized collections from natural history museums. 

Lead Organization(s): 
Award Number: 
1812844
Funding Period: 
Fri, 06/15/2018 to Tue, 05/31/2022
Full Description: 

There are an estimated 2-4 billion specimens in the world's natural history collections that contain the data necessary to address complex global issues, including biodiversity and climate. Digitized natural history collections present an untapped opportunity to engage learners in crucial questions of science with far-reaching potential consequences via object-based research investigations. This project will develop and study a prototype online learning environment that supports student learning via Engaging Practices for Inquiry with Collections in Bioscience (EPIC Bioscience). EPIC Bioscience uses authentic research investigations with digitized collections from natural history museums. The project team will create a curriculum aligned with the Next Generation of Science Standards (NGSS) for middle school students, emphasizing a major disciplinary core idea in grades 6-8 life science, Ecosystems: Interactions, Energy, and Dynamics. The project has three major goals: 1) Develop an online learning environment that guides students through research investigations using digitized natural history collections to teach NGSS life science standards. 2) Investigate how interactive features and conversational scaffolds in the EPIC Bioscience learning environment can promote deeper processing of science content and effective knowledge building. 3) Demonstrate effective approaches to using digitized collections objects for contextualized, research-based science learning that aligns to NGSS standards for middle school classrooms.

The project will examine how and when interactive features of a digital learning environment can be combined with deep questions and effective online scaffolds to promote student engagement, meaningful collaborative discourse, and robust learning outcomes during research with digitized museum collections. Research activities will address: How can interactive features of EPIC Bioscience help students learn disciplinary core ideas and cross cutting concepts via science practices through collections-based research? How can effective patterns of collaborative scientific discourse be supported and enhanced during online, collections-based research? How does the use of digitized scientific collections influence students' levels of engagement and depth of processing during classroom investigations? A significant impact of the proposed work is expanded opportunities for research with authentic museum objects for populations who are traditionally underserved in STEM and are underrepresented in museum visitor demographics (Title I schools, racial/ethnic minorities, and rural school populations). Research activities will engage over 1,500 Title I and rural students (50 classes across three years) in meaningful research investigations with collections objects that address pressing global issues.

CAREER: Supporting Elementary Science Teaching and Learning by Integrating Uncertainty Into Classroom Science Investigations

The goal of this study is to improve elementary science teaching and learning by developing, testing, and refining a framework and set of tools for strategically incorporating forms of uncertainty central to scientists' sense-making into students' empirical learning.

Lead Organization(s): 
Award Number: 
1749324
Funding Period: 
Fri, 06/01/2018 to Wed, 05/31/2023
Full Description: 

The goal of this study will be to improve elementary science teaching and learning by developing, testing, and refining a framework and set of tools for strategically incorporating forms of uncertainty central to scientists' sense-making into students' empirical learning. The framework will rest on the notion that productive uncertainty should be carefully built into students' empirical learning experiences in order to support their engagement in scientific practices and understanding of disciplinary ideas. To re-conceptualize the role of empirical investigations, the study will focus on the transitions between the experiences and processes students seek to understand, classroom investigations, evidence, and explanatory models as opportunities for sense-making, and how uncertainty can be built into these transitions. The project's underlying assumption is that carefully implementing these forms of uncertainty will help curriculum developers and teachers avoid the oversimplified investigations that are prevalent in K-8 classrooms that stand in stark contrast to authentic science learning and the recommendations of the Framework for K-12 Science Education (National Research Council, 2012). Accordingly, the project will seek to develop curriculum design guidelines, teacher tools, professional development supports, and four elaborated investigations, including sets of lessons, videos, and assessments that embed productive uncertainty for second and fifth graders and designed for use with linguistically, culturally, and socio-economically diverse students.

The hypothesis of this work is that if specific forms of scientific uncertainty are carefully selected, and if teachers can implement these forms of uncertainty, elementary students will have more robust opportunities to develop disciplinary practices and ideas in ways consistent with the Next Generation Science Standards (NGSS) (Lead States, 2013). Employing Design-Based Research, the three research questions will be: (1) What opportunities for sense-making do elementary school empirical investigations afford where we might strategically build uncertainty?; (2) How can we design learning environments where uncertainty in empirical investigations supports opportunities for learning?; and (3) In classrooms with sustained opportunities to engage with uncertainty in empirical investigations, what progress do students make in content understandings and the practices of argumentation, explanation, and investigation? The work will consist of three design cycles: Design Cycle 1 will involve two small groups of six teachers in adapting their curricula to incorporate uncertainty, then describe how students engage around uncertainty in empirical investigations. Design Cycle 2 will involve the same small groups in implementing and refining task structures, tools, and teacher instructional strategies. In Design Cycle 3, teachers and researchers will further refine lesson materials, assessments, and supports. The project will partner with one school district and engage in design research with groups of teachers to develop: (1) a research-based description, with exemplars of opportunities for student sense-making within empirical investigations at both early and upper elementary grades; (2) a set of design principles and tools that allow teachers to elicit and capitalize on sense-making about uncertainty in investigations; and (3) four elementary investigations elaborated to incorporate and exemplify the first two products above. These materials will be disseminated through a website, and established networks for supporting implementation of the NGSS. An advisory board will oversee project progress and conduct both formative and summative evaluation.

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


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

2021 STEM for All Video Showcase

Title: Building and Sustaining a PLC in a Virtual World

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

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


Engaging Students in Scientific Practices: Evaluating Evidence and Explanation in Secondary Earth and Space Science

This project will develop, implement, test, and revise instructional approaches and materials for high school students that focus on the links between scientific evidence and alternative explanations of phenomena relating to Earth and space education. Students will learn to construct diagrams showing the links between explanatory models of natural phenomena and lines of evidence, and then evaluate the plausibility of various alternative explanations for events.

Award Number: 
2027376
Funding Period: 
Fri, 09/01/2017 to Tue, 08/31/2021
Full Description: 

This project will develop, implement, test, and revise instructional approaches and materials for high school students that focus on the links between scientific evidence and alternative explanations of phenomena relating to Earth and space education. Students will examine alternative explanations for natural phenomena associated with extreme weather events, freshwater resource availability, and related topics in learning how to evaluate scientifically valid lines of evidence and explanation. Students will learn to construct diagrams showing the links between explanatory models of natural phenomena and lines of evidence, and then evaluate the plausibility of various alternative explanations for events. It is expected that engagement in these activities will help students gain proficiency in model-based reasoning, critical thinking, planning and analyzing scientifically valid investigations, constructing plausible explanations, engaging in collaborative argumentation, and critically evaluating scientific information.

This 4-year Design and Development project will examine use of Model-Evidence Link (MEL) diagrams that are intended to help students cognitively construct mental scaffolds that assist their engagement in the practices of critical evaluation, plausibility appraisal, and knowledge construction related to science topics that are considered by some as controversial. Prior research has demonstrated the potential educational outcomes of using MEL diagrams, but this project will extend the previous work by examining an approach where students construct their own MEL diagrams (build-a-MELs, or baMELs). The project will examine the use of both pre-constructed MELs and baMELs for effectiveness in promoting student engagement in scientific reasoning and practices. The project will employ design-based research methodologies in pursuing answers to three research questions: (1) Do baMEL activities tested in multiple high school classroom settings promote critical evaluation, plausibility reappraisal, and  scientifically accurate knowledge construction about controversial Earth and space science topics? (2) How do these additional baMELs differ from pre-constructed MELs in promoting critical evaluation, plausibility reappraisal, and knowledge construction? And (3) To what extent does repeated use of both pre-constructed MELs and baMELs result in student engagement of scientific practices (i.e., asking critical questions, using model-based reasoning, planning and analyzing scientifically valid investigations, constructing plausible explanations, engaging in collaborative argumentation, and critically evaluating scientific information)? The project will engage high school students taking Earth and space classes in selected schools of Georgia, New Jersey, and within Philadelphia. Teacher professional development opportunities associated with the project will include summer institutes, classroom supports, and mentoring sessions.

This project was previously funded under award #1721041.

Mathematical Learning via Architectural Design and Modeling Using E-Rebuild

This project will explore the learning of mathematics through architectural tasks in an online simulation game, E-Rebuild. In the game-based architectural simulation, students will be able to complete tasks such as building and constructing structures while using mathematics and problem solving. The project will examine how to collect data about students' learning from data generated as they play the game, how students learn mathematics using the simulation, and how the simulation can be included in middle school mathematics learning.

Lead Organization(s): 
Award Number: 
1720533
Funding Period: 
Tue, 08/01/2017 to Sat, 07/31/2021
Full Description: 

This project will explore the learning of mathematics through architectural tasks in an online simulation game, E-Rebuild. There is a need to connect mathematics to real world contexts and problems. In the game-based architectural simulation, students will be able to complete tasks such as building and constructing structures while using mathematics and problem solving. The learning platform will be flexible so teachers can customize tasks for their students. The project will examine how to collect data about students' learning from data generated as they play the game. The project will explore how students learn mathematics using the simulation and how the simulation can be included in middle school mathematics learning.

The project includes two major research questions. First, how will the design of a scalable game-based, design-centered learning platform promote coordination and application of math representation for problem solving? Second, how and under what implementation circumstances will using a scalable architectural game-based learning platform improve students multi-stranded mathematical proficiency (i.e., understanding, problem solving and positive disposition)? A key feature of the project is stealth-assessment or data collected and logged as students use the architectural simulation activities that can be used to understand their mathematics learning. The project uses a design-based research approach to gather data from students and teachers that will inform the design of the learning environment. The qualitative and quantitative data will also be used to understand what students are learning as they play the game and how teachers are interacting with their students. The project will include a mixed methods study to compare classrooms using the architectural activities to classrooms that are using typical activities.


Project Videos

2020 STEM for All Video Showcase

Title: E-Rebuild: Scalable Architectural Game for Math Learning

Presenter(s): Fengfeng Ke, Chih-Pu Dai, & Luke West


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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