Curricula/Activities

PBS NewsHour Student Reporting Labs StoryMaker: STEM-Integrated Student Journalism

In this project, Student Reporting Labs will develop an online curriculum delivery platform called StoryMaker and a unique set of tools called Storymaker:STEM that will supply in-demand interdisciplinary, multi-modal, STEM-infused teaching and learning tools to classrooms across the country. The project aims to produce unique STEM stories from a teen perspective and partners with local public media stations to provide mentorship and amplify the voices of young people.

Project Email: 
Award Number: 
1908515
Funding Period: 
Sun, 09/01/2019 to Thu, 08/31/2023
Project Evaluator: 
Full Description: 

PBS NewsHour's Student Reporting Labs (SRL) is a youth journalism program that creates transformative educational experiences through video production and community engagement. The program aims to produce unique STEM stories from a teen perspective and partners with local public media stations to provide mentorship and amplify the voices of young people. In this project, Student Reporting Labs will develop an online curriculum delivery platform called StoryMaker and a unique set of tools called Storymaker:STEM that will supply in-demand interdisciplinary, multi-modal, STEM-infused teaching and learning tools to classrooms across the country. SRL StoryMaker:STEM will be a free, self-directed online curriculum delivery system designed to guide educators working with middle and high school-age students through videojournalism experiences that highlight and integrate STEM skills, concepts, issues, and potential solutions into the learning process. This program will also develop mentoring connections with 40 journalism professionals and STEM professionals to provide supports for participating teachers and students. The project will recruit and work with about 100 teachers and their students over the course of the project to inform, test, implement and provide feedback on the SRL StoryMaker:STEM platform and resources. The associated research will explore evidence-based strategies for structuring co-learning and mentorship connections for students and teachers with journalists and science content experts around SRL StoryMaker:STEM to best support student and teacher outcomes.

The four-year associated research study will contribute to understanding how teachers collaborate on teaching STEM across academic disciplines through a series of interviews, surveys, and site visits with the pilot teachers and their students using SRL StoryMaker:STEM. The analysis of the data will focus on identifying the benefits of developing a community of teachers who collaborate on teaching STEM across the academic discipline through journalism practice. Specifically, a combination of quantitative and qualitative methods will be used to examine the following research questions: What teacher affordances are necessary for using journalism practices to support STEM learning across academic disciplines? How do teacher perceptions of their school constraints influence their use of STEM-based learning activities? How do teachers from different disciplines teach numerical reasoning, communicating with data, and the other essential STEM thinking skills? How might an online support community be structured to encourage teacher-to-teacher scaffolding related to STEM content given variation in their pedagogical training? Meanwhile, front-end evaluation will identify barriers and opportunities specific to this project. Formative evaluation will focus on how each specific iteration is meeting teachers' needs and aspirations, and summative evaluation will examine teachers' STEM learning and teachers' perception of students' STEM outcomes.

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Crowdsourcing Neuroscience: An Interactive Cloud-based Citizen Science Platform for High School Students, Teachers, and Researchers

This project will develop a cloud-based platform that enables high school students, teachers, and scientists to conduct original neuroscience research in school classrooms.

Lead Organization(s): 
Award Number: 
1908482
Funding Period: 
Thu, 08/01/2019 to Mon, 07/31/2023
Full Description: 

Current priorities in school science education include engaging students in the practices of science as well as the ideas of science. This project will address this priority by developing a cloud-based platform that enables high school students, teachers, and scientists to conduct original neuroscience research in school classrooms. Before students and teachers initiate their own studies using the system, they will participate in existing research studies by contributing their own data and collaborating with researchers using the online, interactive system. When experienced with the system, students and teachers will become researchers by developing independent investigations and uploading them to the interactive platform. Both student-initiated and scientist-initiated proposals will be submitted to the platform, peer-reviewed by students and scientists, revised, and included in the online experimental bank. In addition to conducting their own studies using the platform, scientists will act as educators and mentors by populating the experiment bank with studies that can serve as models for students and provide science content for the educational resource center. This online system addresses a critical need in science education to involve students more fully and authentically in scientific inquiry where they gain experience in exploring the unknown rather than confirming what is already known.

This early stage design and development study is guided by three goals: 1) Develop an open-science citizen science platform for conducting human brain and behavior research in the classroom, 2) Develop a remote neuroscience Student-Teacher-Scientists (STS) partnership program for high schools, and 3) Evaluate the design, development, and implementation of the program and its impacts on students and tachers. In developing this project, the project team will link two quickly emerging trends, one in science education, and one in the sciences. Consistent with current priorities in science education, the project will engage students and their teachers in authentic, active inquiry where they learn scientific practices by using them to conduct authentic inquiry where a search for knowledge is grounded in finding evidence-based answers to original questions. On the science side, students and their science partners will participate in an open science approach by pre-registering their research and committing to an analysis plan before data are collected. In this project, students will primarily be using reaction time and online systems to do research that includes study of their own brain function. The project research is guided by three research questions. How does an online citizen neuroscience STS platform: a) impact students' understanding of, and abilities to apply neuroscience and experimental design concepts? b) Impact students' interests in, and attitudes toward science, including an awareness of science careers and applications? and c) Affect teachers' attitudes towards neuroscience teaching, and the use of inquiry-based strategies? A design-based research approach will be used to iteratively design a sustainable and scalable inquiry-based neuroscience curriculum with teachers as design partners.

Advancing Coherent and Equitable Systems of Science Education

This project will examine how partnerships among state science leaders, education researchers and education practitioners cultivate vertical coherence and equity in state science education.

Lead Organization(s): 
Award Number: 
1920249
Funding Period: 
Thu, 08/01/2019 to Mon, 07/31/2023
Full Description: 

This project will examine how partnerships among state science leaders, education researchers and education practitioners cultivate vertical coherence and equity in state science education. This is an important study because in most states, the student population is becoming more diverse, and states need help in finding ways to better serve schools and districts within their jurisdictions. Through this effort, state science leaders will participate in a networked improvement community model organized to develop and test state-level strategies. Specifically, the focus will be on the adaptation of instructional materials and formative assessment as linked policy strategies for aligning curriculum, instruction, and assessment and for relating instruction to the interests and histories of local communities. State science leaders and researchers will investigate how and under what conditions certain strategies support the emergence of coherent and equitable state systems of science education in which all students have opportunities to meet challenging new science standards. The project will build knowledge and theory about the conditions under which a network of state teams can promote coherent guidance for culturally-based instruction in local districts and schools. Together the partners will collaborate to diagnose current challenges to promoting coherence and equity and then develop knowledge and resources about conditions that promote coherence and equity by testing and studying strategies for cultivating it.

An iterative design-based research approach will be used to build foundational knowledge for the equitable implementation of the vision of science and engineering learning that integrates disciplinary core ideas, science and engineering practices, and crosscutting concepts working from a cultural perspective on learning. A multiple-case study will be used to collect data about the impact of the networked improvement community model on leadership development to effectively improve state efforts. Surveys and interviews will be used to gather information on co-designing efforts, use and adaptation of resources, and knowledge gained by state science leaders. Data will also be collected on political conditions and infrastructures of teamwork as potential facilitators and barriers to the development of strategic knowledge leadership. Analyses of data will identify patterns or configurations of conditions associated with growth in science leaders' strategic knowledge leadership related to equity. This technique will generate evidence-based claims for how and when supports and barriers matter for growth in strategic knowledge leadership for equity.

Generalized Embodied Modeling to Support Science through Technology Enhanced Play (Collaborative Research: Danish)

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1908632
Funding Period: 
Thu, 08/01/2019 to Sun, 07/31/2022
Full Description: 

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students. GEM stands for Generalized Embodied Modeling. Through these embodied, play-as-modeling activities, students will learn the core concepts of science, and the conceptual skills of modeling and systematic measurement. MR environments use new sensing technologies to help transform young children's physical actions during pretend play into a set of symbolic representations and parameters in a science simulation. As students physically move around the classroom, the computer will track their motion and interactions with selected objects and translate their physical activity into a shared display. For example, students pretend they are water particles and work together to model different states of matter. The children see their activity projected onto a computer simulation where a model of a water particle is displayed over the video of themselves. As students collectively reflect upon the nature of a water molecule, they refine their understanding of water as ice, a liquid or a gas. The proposed innovation allows the students to program and revise their own mixed reality simulations as part of their modeling cycle. Embodied and computational modeling will help students to reflect on their models in a unique way that will make their models more computationally accurate and enhance their understanding of the underlying concepts.

The project will research how using the body as a component of the modeling cycle differs from and interacts with the articulation of a scientific model through more structured computational means. The project will investigate the benefits of combining embodiment with computational elements in GEM:STEP by studying the range of concepts that students can learn in this manner. Lessons will be developed to address different disciplinary core ideas, such as states of matter, pollination as a complex system, or decomposition, as well as cross-cutting concepts of systems thinking, and energy/matter flow, all of which link directly to upper elementary science curriculum. Project research will gather data to understand what kinds of models students develop, what learning processes are supported using GEM:STEP, and what learning results. The data will include: (1) documenting and analyzing what students modeled and how accurate the models are; (2) recording student activity using audio and voice to code their activity to document learning processes and to look at how different forms of modeling interact with one another to promote learning; and (3) pre-post content measures to assess learning. All of the software that is developed for GEM:STEP will be made available as Open Source projects, allowing other researchers to build upon and extend this work. The results of the research will be disseminated in academic conferences and peer reviewed journals. The motion tracking software is already available on Github, a popular open-source repository. Once developed, the aim is to implement GEM:STEP in a wide range of classroom contexts, supported by a user-friendly interface, teacher guides, and professional development.

Generalized Embodied Modeling to Support Science through Technology Enhanced Play (Collaborative Research: Enyedy)

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1908791
Funding Period: 
Thu, 08/01/2019 to Sun, 07/31/2022
Full Description: 

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students. GEM stands for Generalized Embodied Modeling. Through these embodied, play-as-modeling activities, students will learn the core concepts of science, and the conceptual skills of modeling and systematic measurement. MR environments use new sensing technologies to help transform young children's physical actions during pretend play into a set of symbolic representations and parameters in a science simulation. As students physically move around the classroom, the computer will track their motion and interactions with selected objects and translate their physical activity into a shared display. For example, students pretend they are water particles and work together to model different states of matter. The children see their activity projected onto a computer simulation where a model of a water particle is displayed over the video of themselves. As students collectively reflect upon the nature of a water molecule, they refine their understanding of water as ice, a liquid or a gas. The proposed innovation allows the students to program and revise their own mixed reality simulations as part of their modeling cycle. Embodied and computational modeling will help students to reflect on their models in a unique way that will make their models more computationally accurate and enhance their understanding of the underlying concepts.

The project will research how using the body as a component of the modeling cycle differs from and interacts with the articulation of a scientific model through more structured computational means. The project will investigate the benefits of combining embodiment with computational elements in GEM:STEP by studying the range of concepts that students can learn in this manner. Lessons will be developed to address different disciplinary core ideas, such as states of matter, pollination as a complex system, or decomposition, as well as cross-cutting concepts of systems thinking, and energy/matter flow, all of which link directly to upper elementary science curriculum. Project research will gather data to understand what kinds of models students develop, what learning processes are supported using GEM:STEP, and what learning results. The data will include: (1) documenting and analyzing what students modeled and how accurate the models are; (2) recording student activity using audio and voice to code their activity to document learning processes and to look at how different forms of modeling interact with one another to promote learning; and (3) pre-post content measures to assess learning. All of the software that is developed for GEM:STEP will be made available as Open Source projects, allowing other researchers to build upon and extend this work. The results of the research will be disseminated in academic conferences and peer reviewed journals. The motion tracking software is already available on Github, a popular open-source repository. Once developed, the aim is to implement GEM:STEP in a wide range of classroom contexts, supported by a user-friendly interface, teacher guides, and professional development.

Supporting Students' Science Content Knowledge through Project-based Inquiry

This project will address STEM learning through classroom implementation at two project partner schools in North Carolina, one urban and the other rural, with culturally diverse student populations. The project offers high school students the opportunity to be immersed in science content through engaging in globally-relevant learner-centered activities.

Award Number: 
1907895
Funding Period: 
Thu, 08/01/2019 to Sat, 07/31/2021
Full Description: 

The Project-Based Inquiry (PBI) Global initiative will address STEM learning through classroom implementation at two project partner schools in North Carolina, one urban and the other rural, with culturally diverse student populations. Both are innovative public high schools implementing the Early College High School model, preparing diverse students from populations underrepresented in STEM fields for college success. Because of the synergistic interaction of theory and practice, the project will produce substantial advances in the development of improved inquiry-based learning materials and research on the impact of these materials on students and teachers. The project offers high school students the opportunity to be immersed in science content through engaging in globally-relevant learner-centered activities. The following three research questions will be addressed: 1) How does inquiry through the PBI Global process support student science content knowledge? 2) How can students' motivation and engagement be characterized after participating in the PBI Global process? 3) To what degree do teachers' attitudes toward inquiry-based pedagogies change as a result of PBI Global professional development?

Project-Based Inquiry (PBI) Global responds to the need for research-informed and field-tested products with iterative development and implementation of a globally relevant, inquiry-based STEM curriculum. The project focuses on developing 9th grade student physical, biological, and environmental science content knowledge and science and engineering practices through the topics of global water and sanitation issues. Factors influencing student motivation and engagement, as well as teacher attitudes toward inquiry-based pedagogies will be investigated. The project will use a Design-Based Research (DBR) approach to develop and refine instructional materials and teacher professional development for the existing interdisciplinary PBI Global initiative. A mixed-methods research convergent parallel design will be used to explore the effects of the classroom implementation on student and teacher outcomes.

Students and Teachers Learning from Nature: Studying Biologically Inspired Design in High School Engineering Education

In this project, high school engineering teachers will spend five weeks in a research lab devoted to biologically-inspired design, as they partner with cutting-edge engineers and scientists to study animal features and behavior and their applications to engineering designs. After this lab experience, the high school teachers will receive three six- to ten-week curricular units, tailored for tenth- through twelfth-grade students, which teach biologically-inspired design in the context of problems that are relevant to youth.

Award Number: 
1907906
Funding Period: 
Thu, 08/01/2019 to Mon, 07/31/2023
Full Description: 

Scientists and engineers often learn from nature to develop new products that benefit society, a process called biologically-inspired design. Aerospace engineers, for example, have studied the intricate folding patterns in ladybugs' wings to gain ideas for designing more compact satellites. In this project, high school engineering teachers will spend five weeks in a research lab devoted to biologically-inspired design, as they partner with cutting-edge engineers and scientists to study animal features and behavior and their applications to engineering designs. After this lab experience, the high school teachers will receive three six- to ten-week curricular units, tailored for tenth- through twelfth-grade students, which teach biologically-inspired design in the context of problems that are relevant to youth. The teachers will also participate in ongoing professional development sessions that demonstrate strategies for teaching these units. The research team will study whether and how the lab and professional development experiences influence the teachers' understandings of engineering and perspectives toward nature, among other outcomes. Additionally, the research team will study whether the curricular units are associated with positive learning outcomes for students. The curricula and professional development modules will be shared publicly through online resources and teacher workshops, and research findings will be widely disseminated through journals. Because previous research has suggested that biologically-inspired design is a promising approach for attracting and retaining women in engineering careers, this project is likely to result in products that foster high school girls' interest in engineering during a critical period when they are imagining their future career trajectories. Moreover, these products are likely to fuel national innovation by teaching students how to look to nature to find answers to pressing problems, and by generating knowledge about motivational educational approaches that encourage a wider range of high school students to pursue engineering careers.

This project addresses the persistent underrepresentation of girls in engineering careers by developing and testing three sets of curricula that are expected to lead to positive outcomes among high school females. These curricula incorporate biologically-inspired engineering, humanistic engineering, a focus on sustainability and ideation, and authentic design contexts. Ten high school teachers will participate in extensive professional development experiences that prepare them to effectively teach the curricula. These experiences include a five-week lab experience with scientists who are applying biologically-inspired design; a one-week workshop demonstrating strategies for teaching the units; weekly implementation meetings; and web-based professional development modules. To study the effect of the professional development on teachers, researchers will collect curriculum design logs, teacher enactment surveys, and engineering teaching self-efficacy surveys; they will also conduct classroom observations and interviews. Qualitative analyses of these sources will indicate whether and how the professional development affected teachers' understanding of the engineering design process, engineering teaching self-efficacy, and perspective toward the natural and designed world. To study the effect of the curricula on over 1,100 high school students, researchers will use a pre-post design with validated measures to determine whether the curricula are associated with greater understanding and use of the engineering design process; ability to generate well-formulated engineering design problems; engineering self-efficacy; attitudes toward the natural and designed world; sustainability awareness; and intent to persist in engineering. Subsequently, a quasi-experimental design with a matched comparison group will enable the researchers to determine whether the treatment group outperformed the comparison group on pre-post measures. Qualitative analysis of focus groups and interviews with a sub-set of high school girls will indicate whether and how the curricula supported their sense of belonging in engineering. This project is designed to advance knowledge and practice in engineering education for high school students, especially among girls, ultimately resulting in broadening participation in engineering pathways.

Learning Trajectories as a Complete Early Mathematics Intervention: Achieving Efficacies of Economies at Scale

The purpose of this project is to test the efficacy of the Learning and Teaching with Learning Trajectories (LT2) program with the goal of improving mathematics teaching and thereby increasing young students' math learning. LT2 is a professional development tool and a curriculum resource intended for teachers to be used to support early math instruction and includes the mathematical learning goal, the developmental progression, and relevant instructional activities.

Lead Organization(s): 
Award Number: 
1908889
Funding Period: 
Mon, 07/01/2019 to Sun, 06/30/2024
Full Description: 

U.S. proficiency in mathematics continues to be low and early math performance is a powerful predictor of long-term academic success and employability. However, relatively few early childhood degree programs have any curriculum requirements focused on key mathematics topics. Thus, teacher professional development programs offer a viable and promising method for supporting and improving teachers' instructional approaches to mathematics and thus, improving student math outcomes. The purpose of this project is to test the efficacy of the Learning and Teaching with Learning Trajectories (LT2) program with the goal of improving mathematics teaching and thereby increasing young students' math learning. LT2 is a professional development tool and a curriculum resource intended for teachers to be used to support early math instruction. The LT2 program modules uniquely include the mathematical learning goal, the developmental progression, and relevant instructional activities. All three aspects are critical for high-quality and coherent mathematics instruction in the early grades.

This project will address the following research questions: 1) What are the medium-range effects of LT2 on student achievement and the achievement gap? 2) What are the short- and long-term effects of LT2 on teacher instructional approach, beliefs, and quality? and 3) How cost effective is the LT2 intervention relative to the original Building Blocks intervention? To address the research questions, this project will conduct a multisite cluster randomized experimental design, with 90 schools randomly assigned within school districts to either experimental or control groups. Outcome measures for the approximately 250 kindergarten classrooms across these districts will include the Research-based Elementary Math Assessment, observations of instructional quality, a questionnaire focused on teacher beliefs and practices, in addition to school level administrative data. Data will be analyzed using multi-level regression models to determine the effect of the Learning Trajectories intervention on student learning.

Case Studies of a Suite of Next Generation Science Instructional, Assessment, and Professional Development Materials in Diverse Middle School Settings

This project addresses a gap between vision and implementation of state science standards by designing a coordinated suite of instructional, assessment and teacher professional learning materials that attempt to enact the vision behind the Next Generation Science Standards. The study focuses on using state-of-the-art technology to create an 8-week long, immersive, life science field experience organized around three investigations.

Lead Organization(s): 
Award Number: 
1907944
Funding Period: 
Mon, 07/01/2019 to Fri, 06/30/2023
Full Description: 

New state science standards are ambitious and require important changes to instructional practices, accompanied by a coordinated system of curriculum, assessment, and professional development materials. This project addresses a gap between vision and implementation of such standards by designing a coordinated suite of instructional, assessment and teacher professional learning materials that attempt to enact the vision behind the Next Generation Science Standards. The study focuses on the design of such materials using state-of-the-art technology to create an 8-week long, immersive, life science field experience organized around three investigations. Classes of urban students in two states will collect data on local insect species with the goal of understanding, sharing, and critiquing environmental management solutions. An integrated learning technology system, the Learning Navigator, draws on big data to organize student-gathered data, dialogue, lessons, an assessment information. The Learning Navigator will also amplify the teacher's role in guiding and fostering next generation science learning. This project advances the field through an in-depth exploration of the goals for the standards documents. The study begins to address questions about what works when, where, and for whom in the context of the Next Generation Science Standards.

The project uses a series of case studies to create, test, evaluate and refine the system of instructional, assessment and professional development materials as they are enacted in two distinct urban school settings. It is designed with 330 students and 22 teachers in culturally, racially and linguistically diverse, under-resourced schools in Pennsylvania and California. These schools are located in neighborhoods that are economically challenged and have students who demonstrate patterns of underperformance on state standardized tests. It will document the process of team co-construction of Next Generation Science-fostering instructional materials; develop assessment tasks for an instructional unit that are valid and reliable; and, track the patterns of use of the instructional and assessment materials by teachers. The study will also record if new misconceptions are revealed as students develop Next Generation Science knowledge,  comparing findings across two diverse school locations in two states. Data collection will include: (a) multiple types of data to establish validity and reliability of educational assessments, (b) the design, evaluation and use of a classroom observation protocol to gather information on both frequency and categorical degree of classroom practices that support the vision, and (c) consecutive years of ten individual classroom enactments through case studies analyzed through cross-case analyses. This should lead to stronger and better developed understandings about what constitutes strong Next Generation Science learning and the classroom conditions, instructional materials, assessments and teacher development that foster it.

Streams of Data: Nurturing Data Literacy in Young Science Learners (Collaborative Research: Robeck)

This project will develop an approach to support fourth grade students' data literacy with complex, large-scale, professionally collected data sets. The work will focus on analytical thinking as a subset of data literacy, specifically evaluating and interpreting data. The project will teach students about working with geoscience data, which connect to observable, familiar aspects of the natural world and align with Earth science curriculum standards.

Award Number: 
1906286
Funding Period: 
Mon, 07/01/2019 to Thu, 06/30/2022
Full Description: 

These skills are essential for working with scientific data sets, but educators know very little about how to prepare students for the issues involved in making appropriate inferences from data. The need is compounded by the fact that studies that exist have worked with data sets that students themselves collected, whereas the many electronic data sets, proliferating in the public domain, pose different challenges. This project will develop an approach to support fourth grade students' data literacy with complex, large-scale, professionally collected data sets. The work will focus on analytical thinking as a subset of data literacy, specifically evaluating and interpreting data. The project will teach students about working with geoscience data, which connect to observable, familiar aspects of the natural world and align with Earth science curriculum standards. An interdisciplinary team of educators, researchers, and scientists from the Oceans of Data Institute at Educational Development Center and the American Geological Institute will (1) conduct baseline research to understand students' natural affinities for understanding inference from complex data and phenomena; (2) develop and test scaffolding activities that leverage students' intellectual assets and minimize barriers to analytical thinking with professionally collected data; and (3) examine the degree to which the resulting activities support students to do productive work with professionally collected data. In developing an instructional approach, the project informs generally how professionally collected, scientific data can be used to support elementary students to develop data literacy skills.

Hypothesizing that science, technology, engineering, and mathematics (STEM) education generally can benefit from the instructional use of complex, large, interactive, and professionally-collected (CLIP) data sets (e.g., related to precipitation, stream flow, and groundwater levels), this study will explore approaches to integrating those data into fourth grade classroom instruction. The research is based on a premise that students who engage with CLIP data early in their classroom STEM experiences will develop skills and attitudes that promote meaningful analyses of those data earlier than if that exposure is delayed until secondary courses. The project will use a three-phase iterative design that will unfold in three urban and suburban school districts in Virginia and Maryland. Phase one will focus on creating a baseline of the reasoning students employ when making inferences from data. It will involve 45 students from grades 3-5 in targeted interviews, which will be recorded, transcribed and analyzed. Phases two and three will focus on design and development in grade 4. Phase two will develop and test activities through an iterative design plan that employs a semi-clinical method with small groups of students. Phase three will implement the activities that result from that process in six classrooms across three districts with approximately 150 students. A scoring rubric that captures student learning will be constructed in phase two and used to measure impacts of the field testing in phase three. Observations and interviews will also be conducted at field sites to understand what students learn about analytical thinking from the activities.

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