Early State/Exploratory

CAREER: Promoting Equitable and Inclusive STEM Contexts in High School

This project focuses on fostering equitable and inclusive STEM contexts with attention to documenting and reducing adolescents' experiences of harassment, bias, prejudice and stereotyping. This research will contribute to understanding of the current STEM educational climates in high schools and will help to identify factors that promote resilience in the STEM contexts, documenting how K-12 educators can structure their classrooms and schools to foster success of all students in STEM classes.

Award Number: 
1941992
Funding Period: 
Sat, 02/01/2020 to Fri, 01/31/2025
Full Description: 

This project focuses on fostering equitable and inclusive STEM contexts with attention to documenting and reducing adolescents' experiences of harassment, bias, prejudice and stereotyping. An important barrier to persistence in STEM fields for marginalized groups, including women and ethnic minorities, relates to a culture in many STEM organizations, such as academic institutions, that fosters discrimination, harassment and prejudicial treatment of those from underrepresented groups. This research will contribute to understanding of the current STEM educational climates in high schools and will help to identify factors that promote resilience in the STEM contexts, documenting how K-12 educators can structure their classrooms and schools to foster success of all students in STEM classes. Further, this work will explore how to create schools where students stand-up for each other and support each other so that any student who is interested will feel welcome in STEM classes and programs.

This research aims to examine cultures of discrimination and harassment in STEM contexts with attention to: 1) assessing STEM climates in high schools in order to identify the character of discrimination and harassment, 2) understanding how youth think about these instances of bias and discrimination; 3) identifying pathways to resilience for underrepresented youth pursuing STEM interests, and 4) testing an intervention to promote bystander intervention from those who witness discrimination and harassment in STEM contexts. This research will take an intersectional approach recognizing that those who are marginalized by multiple dimensions of their identity may experience STEM contexts differently than those who are marginalized by one dimension of their identity. Because adolescence is a critical developmental period during which youth are forming their attitudes, orientations and lifelong behaviors, this research will attend to issues of bias and discrimination well before individuals enter college STEM classrooms or the STEM workforce: namely, during high school. Further, this work will examine the creation of equitable STEM climates in both college-preparation classes as well as workforce development STEM programs offered though or in partnership with high schools. This research will provide clear evidence to document the current culture of STEM contexts in high schools, using mixed methods, including surveys, qualitative interviews and longitudinal measurement. Further, the project will involve development and implementation of an intervention, which will provide the first test of whether bystander intervention can be fostered in STEM students and will involve training STEM students in key 21st century skills, such as social-cognitive capacities and interpersonal skills, enabling them to speak up and support peers from marginalized backgrounds when they observe discrimination and harassment.

CAREER: Supporting Model Based Inference as an Integrated Effort Between Mathematics and Science

This project will design opportunities for mathematics and science teachers to coordinate their instruction to support a more coherent approach to teaching statistical model-based inference in middle school. It will prepare teachers to help more students develop a deeper understanding of ideas and practices related to measurement, data, variability, and inference and to use these tools togenerate knowledge about the natural world.

Award Number: 
1942770
Funding Period: 
Sat, 02/01/2020 to Fri, 01/31/2025
Full Description: 

This project will design opportunities for mathematics and science teachers to coordinate their instruction to support a more coherent approach to teaching statistical model-based inference in middle school. It will prepare teachers to help more students develop a deeper understanding of ideas and practices related to measurement, data, variability, and inference. Since there is little research to show how to productively coordinate learning experiences across disciplinary boundaries of mathematics and science education, this project will address this gap by: (1) creating design principles for integrating instruction about statistical model-based inference in middle grades that coordinates data modeling instruction in mathematics classes with ecology instruction in science classes; (2) generating longitudinal (2 years) evidence about how mathematical and scientific ideas co-develop as students make use of increasingly sophisticated modeling and inferential practices; and (3) designing four integrated units that coordinate instruction across mathematics and science classes in 6th and 7th grade to support statistical model-based inference.

This project will use a multi-phase design-based research approach that will begin by observing teachers' current practices related to statistical model-based inference. Information from this phase will help guide researchers, mathematics teachers, and science teachers in co-designing units that integrate data modeling instruction in mathematics classes with ecological investigations in science classes. This project will directly observe students? thinking and learning across 6th and 7th grades through sample classroom lessons, written assessment items, and interviews. Data from these aspects of the study will generate evidence about how students make use of mathematical ideas in science class and how their ecological investigations in science class provoke a need for new mathematical tools to make inferences. The resulting model will integrate mathematics and science learning in productive ways that are sensitive to both specific disciplinary learning goals and the ways that these ideas and practices can provide a better approximation for students to knowledge generating practices in STEM disciplines.

CAREER: Understanding Latinx Students' Stories of Doing and Learning Mathematics

This project characterizes and analyses the developing mathematical identities of Latinx students transitioning from elementary to middle grades mathematics. The central hypothesis of this project is that elementary Latino students' stories can identify how race and language are influential to their mathematical identities and how school and classroom practices may perpetuate inequities.

Lead Organization(s): 
Award Number: 
1941952
Funding Period: 
Mon, 06/01/2020 to Sat, 05/31/2025
Full Description: 

Although the Latino population throughout the United States continues to increase, various researchers have shown that Latino students are often not afforded high quality learning experiences in their mathematics classrooms. As a result, Latino students are underrepresented in higher level mathematics courses and careers involving mathematics. Having a better understanding of Latino students' perspectives and experiences is imperative to improving their opportunities to learn mathematics. Yet, little research has made central Latinos students' perspectives of learning and doing mathematics, especially over a critical period of time like the transition from elementary to middle school. The goal of this study will be to improve mathematics teaching and learning for Latino youth as they move from upper elementary to early middle school mathematics classrooms. The project involves three major parts: investigating the policy, media, and oral histories of Latino families/communities to understand the context for participating Latino students' mathematics education; exploring Latino students' stories about their experiences learning and doing mathematics to understand these students' perspectives; and creating documentary video portraitures (or composite cases) of participants' stories about learning and doing mathematics that can be used in teacher preparation and professional development. Finally, the project will look across the experiences over the duration of the project to develop a framework that can be used to improve Latino students' mathematics education experiences. This project will provide a window into how Latino students may experience inequities and can broaden mathematics educators' views on opportunities to engage Latino students in rigorous mathematics. The project will also broaden the field's understanding of how Latino students racial/ethnic and linguistic identities influence their experiences learning mathematics. It will also identify key factors that impact Latino students' experiences in learning mathematics to pinpoint specific areas where interventions and programs need to be designed and implemented. An underlying assumption of the project is that carefully capturing and understanding Latino students' stories can illuminate the strengths and resilience these students bring to their learning and doing of mathematics.

This research project characterizes and analyses the developing mathematical identities of Latinx students transitioning from elementary to middle grades mathematics. The overarching research question for this study is: What are the developing stories of learning and doing mathematics of Latino students as they transition from elementary to middle school mathematics? To answer this question, this study is divided into three phases: 1) understanding and documenting the historical context by examining policy documents, local newspaper articles, and doing focus group interviews with community members; 2) using ethnographic methods over two years to explore students' stories of learning and doing mathematics and clinical interviews to understand how they think about and construct arguments about mathematics (i.e., measurement, division, and algebraic patterning); and 3) creating video-cases that can be used in teacher education. Traditional ways of teaching mathematics perpetuate images of who can and cannot do mathematics by not acknowledging contributions of other cultures to the mathematical sciences (Gutiérrez, 2017) and the way mathematics has become a gatekeeper for social mobility (Martin, Gholson, & Leonard, 2010; Stinson, 2004). Focusing on Latino students' stories can illuminate teachers' construction of equitable learning spaces and how they define success for their Latino students. The central hypothesis of this project is that elementary Latino students' stories can identify how race and language are influential to their mathematical identities and how school and classroom practices may perpetuate inequities. Finally, the data and video-cases will then be used to develop a conceptual framework for understanding the development of the participating students' developing mathematical identities. This framework will provide an in-depth understanding of the developing racial/ethnic, linguistic, and mathematical identities of the participating Latino students. The educational material developed (e.g. video documentaries, discussion material) from this project will be made available to all interested parties freely through the project website. The distribution of these materials, along with further understanding of Latino students' experiences learning mathematics, will help in developing programs and interventions at the elementary and middle grade level to increase the representation of Latino students in STEM careers. Additionally, identifying the key factors impacting Latino students' experiences in learning mathematics can pinpoint specific areas where interventions and programs still need to be designed and implemented. Future projects could include the assessment of these programs. This project will also inform the development of professional learning experiences for prospective and practicing teachers working with Latino or other marginalized students.

Reasoning Language for Teaching Secondary Algebra

This project proposes to study the teaching and learning of algebra in grades 7-9, with a specific focus on the ways in which classroom language explicitly describes properties of and relationships among algebraic objects. The project seeks to investigate the bi-directional relationship between reasoning-rich algebraic discourse and the mathematical meanings students hold for core algebraic concepts such as equations, the equation-solving process, and functions.

Lead Organization(s): 
Award Number: 
2001116
Funding Period: 
Sun, 09/01/2019 to Wed, 08/31/2022
Full Description: 

Decades of research have demonstrated that stronger mathematics classroom discourse, along with the use and connection of multiple mathematical representations, correlates positively with gains in student learning. This relationship is particularly salient in algebra, where diversifying the representations available to students can provide important supports for the development of conceptual understanding. The Reasoning Language for Teaching Secondary Algebra (ReLaTe-SA) project proposes to study the teaching and learning of algebra in grades 7-9, with a specific focus on the ways in which classroom language explicitly describes properties of and relationships among algebraic objects. The project seeks to investigate the bi-directional relationship between reasoning-rich algebraic discourse and the mathematical meanings students hold for core algebraic concepts such as equations, the equation-solving process, and functions. With a focus on the teacher, ReLaTe-SA will analyze classroom narratives about algebraic concepts and procedures and provide an 80-hour professional development program designed to support teachers in developing stronger explanations of algebraic objects, their properties, and their relationships.

The ReLaTe-SA project will investigate three aspects of teacher discourse practice related to algebra. First, the project will study the discourse and discourse routines that teachers use to explain algebraic objects, their properties, and their relationships. This will be accomplished through the development and deployment of an assessment called the Survey of Algebraic Language and Reasoning to identify teachers' discursive routines and narratives in the context of algebra. The instrument asks teachers to interpret student work and explanations by describing the student's mathematical reasoning and underlying mathematical understandings. Second, the project will support potential growth in teachers' algebraic discourse practices through an 80-hour professional development intervention focused on discourse in algebra. The impact of this intervention will be measured by changes to teachers' response patterns on the Survey of Algebraic Language and Reasoning, analyses of teachers' work within the professional development, and the analysis of classroom observations after the professional development has concluded. Third, the project will seek to understand the ways in which teachers develop lessons that explicitly focus on the development of students' algebraic reasoning and discourse. This goal will be realized through analyses of the tasks, plans, and implementations of mathematics lessons in participating teachers' classrooms. Three cohorts of 12 teachers each will be recruited for the project. Based on the results of this exploratory project, the team intends to follow up with a larger-scale study of the professional development and its impact on the teaching and learning of algebra.

This project was previously funded under award #1908825.

Building Students' Data Literacy through the Co-design of Curriculum by Mathematics and Art Teachers (Collaborative Research: Matuk)

This project aims to enact and study the co-design of classroom activities by mathematics and visual arts teachers to promote middle school students' data literacy.

Lead Organization(s): 
Award Number: 
1908557
Funding Period: 
Mon, 07/01/2019 to Wed, 06/30/2021
Full Description: 

The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science. Many existing efforts to promote data literacy are grounded in mathematical concepts of central tendency and variation, and typically are narrowly focused in single subject domains. Taking an art-based perspective on data science has the potential to promote student relevance, accessibility, engagement, reasoning, and meaning-making with data science. Moreover, visualization technology has advanced to a degree that the relation between the information in data and visual aesthetic can be leveraged easily. To explore the opportunity this offers, research on this project will examine how to equip teachers to develop such interdisciplinary pedagogical approaches to cultivate their students' data literacy. This exploratory project will provide support for 12 teachers during summer workshops and during the school year as these teachers implement their co-designed units in their classrooms. The work addresses the following questions: (1) How do we support effective co-design of data literacy units among art teachers, mathematics teachers, and researchers? (2) How are teachers able to use the unit materials in their classrooms to engage students in data literacy? And (3) How does an art-based approach support students' data literacy? Answers to these questions will build an understanding of how to support interdisciplinary curriculum design collaborations among researchers and teachers. They will also show how art-integrated, maker-oriented activities can support middle school learners' data literacy development; and how to design technologies that are accessible and powerful to teachers and learners in these interdisciplinary environments.

Through summer workshops and year-round design collaborations, the project will iteratively design, test and refine four units for middle school classrooms, including activities, tools, and assessments, to promote students' data literacy. Data will be collected from co-design sessions as well as classroom-enactments, and will include observations, video/audio recordings, student- and teacher-generated artifacts, and pre and post assessments of students' knowledge and self-efficacy. Mixed methods analyses of these data, and syntheses of findings across participants, classroom enactments, and project years, will explore effective ways to support co-design among art teachers, mathematics teachers, and researchers; and the impact of art-integrated activities on students' data literacy. This project will reach 12 teachers and their students across 6 New York city schools. By building capacity and knowledge about how to initiate and sustain teachers' interdisciplinary curriculum collaborations, the project will have broader impact. Refined project materials, including pedagogical approaches, toolkits and adaptable classroom activities, will be disseminated to facilitate classroom adoption by other educators who wish to undertake similar art-integrated data literacy curriculum design collaborations, and will thus ultimately broaden participation in data science among diverse youth within and beyond New York City.

Building Students' Data Literacy through the Co-design of Curriculum by Mathematics and Art Teachers (Collaborative Research: Vacca)

The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science.

Lead Organization(s): 
Award Number: 
1908142
Funding Period: 
Mon, 07/01/2019 to Wed, 06/30/2021
Full Description: 

The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science. Many existing efforts to promote data literacy are grounded in mathematical concepts of central tendency and variation, and typically are narrowly focused in single subject domains. Taking an art-based perspective on data science has the potential to promote student relevance, accessibility, engagement, reasoning, and meaning-making with data science. Moreover, visualization technology has advanced to a degree that the relation between the information in data and visual aesthetic can be leveraged easily. To explore the opportunity this offers, research on this project will examine how to equip teachers to develop such interdisciplinary pedagogical approaches to cultivate their students' data literacy. This exploratory project will provide support for 12 teachers during summer workshops and during the school year as these teachers implement their co-designed units in their classrooms. The work addresses the following questions: (1) How do we support effective co-design of data literacy units among art teachers, mathematics teachers, and researchers? (2) How are teachers able to use the unit materials in their classrooms to engage students in data literacy? And (3) How does an art-based approach support students' data literacy? Answers to these questions will build an understanding of how to support interdisciplinary curriculum design collaborations among researchers and teachers. They will also show how art-integrated, maker-oriented activities can support middle school learners' data literacy development; and how to design technologies that are accessible and powerful to teachers and learners in these interdisciplinary environments.

Through summer workshops and year-round design collaborations, the project will iteratively design, test and refine four units for middle school classrooms, including activities, tools, and assessments, to promote students' data literacy. Data will be collected from co-design sessions as well as classroom-enactments, and will include observations, video/audio recordings, student- and teacher-generated artifacts, and pre and post assessments of students' knowledge and self-efficacy. Mixed methods analyses of these data, and syntheses of findings across participants, classroom enactments, and project years, will explore effective ways to support co-design among art teachers, mathematics teachers, and researchers; and the impact of art-integrated activities on students' data literacy. This project will reach 12 teachers and their students across 6 New York city schools. By building capacity and knowledge about how to initiate and sustain teachers' interdisciplinary curriculum collaborations, the project will have broader impact. Refined project materials, including pedagogical approaches, toolkits and adaptable classroom activities, will be disseminated to facilitate classroom adoption by other educators who wish to undertake similar art-integrated data literacy curriculum design collaborations, and will thus ultimately broaden participation in data science among diverse youth within and beyond New York City.

Building Students' Data Literacy through the Co-design of Curriculum by Mathematics and Art Teachers (Collaborative Research: Silander)

The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science.

Award Number: 
1908030
Funding Period: 
Mon, 07/01/2019 to Wed, 06/30/2021
Full Description: 

The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science. Many existing efforts to promote data literacy are grounded in mathematical concepts of central tendency and variation, and typically are narrowly focused in single subject domains. Taking an art-based perspective on data science has the potential to promote student relevance, accessibility, engagement, reasoning, and meaning-making with data science. Moreover, visualization technology has advanced to a degree that the relation between the information in data and visual aesthetic can be leveraged easily. To explore the opportunity this offers, research on this project will examine how to equip teachers to develop such interdisciplinary pedagogical approaches to cultivate their students' data literacy. This exploratory project will provide support for 12 teachers during summer workshops and during the school year as these teachers implement their co-designed units in their classrooms. The work addresses the following questions: (1) How do we support effective co-design of data literacy units among art teachers, mathematics teachers, and researchers? (2) How are teachers able to use the unit materials in their classrooms to engage students in data literacy? And (3) How does an art-based approach support students' data literacy? Answers to these questions will build an understanding of how to support interdisciplinary curriculum design collaborations among researchers and teachers. They will also show how art-integrated, maker-oriented activities can support middle school learners' data literacy development; and how to design technologies that are accessible and powerful to teachers and learners in these interdisciplinary environments.

Through summer workshops and year-round design collaborations, the project will iteratively design, test and refine four units for middle school classrooms, including activities, tools, and assessments, to promote students' data literacy. Data will be collected from co-design sessions as well as classroom-enactments, and will include observations, video/audio recordings, student- and teacher-generated artifacts, and pre and post assessments of students' knowledge and self-efficacy. Mixed methods analyses of these data, and syntheses of findings across participants, classroom enactments, and project years, will explore effective ways to support co-design among art teachers, mathematics teachers, and researchers; and the impact of art-integrated activities on students' data literacy. This project will reach 12 teachers and their students across 6 New York city schools. By building capacity and knowledge about how to initiate and sustain teachers' interdisciplinary curriculum collaborations, the project will have broader impact. Refined project materials, including pedagogical approaches, toolkits and adaptable classroom activities, will be disseminated to facilitate classroom adoption by other educators who wish to undertake similar art-integrated data literacy curriculum design collaborations, and will thus ultimately broaden participation in data science among diverse youth within and beyond New York City.

Investigating School District Resilience and the Impact of Hurricane Exposure on Student Outcomes

This Rapid Response Research (RAPID) project is an exploratory mixed methods study investigating the impact of vulnerability and resilience in the recovery of North Carolina schools affected by both Hurricanes Florence (2018) and Matthew (2016). Specifically, the study assesses whether schools that were impacted by both storms used organizational learning strategies to recover faster than schools that were impacted by either Hurricane Florence or Matthew alone.

Project Email: 
Award Number: 
1904156
Funding Period: 
Tue, 01/01/2019 to Tue, 12/31/2019
Project Evaluator: 
Full Description: 

North Carolina has experienced 11 major disasters due to hurricanes or tropical storms over the past 20 years. Moreover, one tropical cyclone has hit the state every two years since 1851. Although natural disasters are frequent, efforts to understand and support public schools' responses to such disasters are rare. This Rapid Response Research (RAPID) project is an exploratory mixed methods study investigating the impact of vulnerability and resilience in the recovery of North Carolina schools affected by both Hurricanes Florence (2018) and Matthew (2016). Specifically, the study assesses whether schools that were impacted by both storms used organizational learning strategies to recover faster than schools that were impacted by either Hurricane Florence or Matthew alone. The project pursues three research questions: (1) What characteristics predict school district resilience? (2) How does prior disaster experience aid/hinder a resilient recovery? (3) Do students in resilient districts show less learning loss or rebound from learning loss more quickly?

This mixed methods project will involve interviews, focus groups and surveys with school and district personnel in a purposive sample of 15 districts across North Carolina that were heavily impacted by both storms and those that were affected by only one. These qualitative data will be used to derive markers of resilience that will then be used in quantitative analyses. Quantitative comparisons of state-wide data on student outcomes (e.g., achievement, attendance) will also be made across three kinds of districts: those that were affected by both storms, those that were affected by only one storm and those that were not affected at all. Quantitative data will be taken from an existing longitudinal database that includes individual student characteristics, attendance, suspensions and academic performance for all students in North Carolina. The purposive sampling of 15 districts in North Carolina allows for a novel comparison of impact, recovery and organizational learning across two disasters and over time. Disasters can create an opportunity for organizational change leading to greater resiliency in future crises; however, little extant research has focused on whether and how schools recover and remain resilient in the aftermath of natural disasters, such as hurricanes. This project can benefit schools in crisis by providing lessons learned and a roadmap for action to schools that are singularly and repeatedly impacted by natural disasters.

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Articulating a Transformative Approach for Designing Tasks that Measure Young Learners' Developing Proficiencies in Integrated Science and Literacy (Collaborative Research: Harris)

The main goal of this study will be to conduct exploratory-design work to produce both the design approach and the early-stage tasks that are critical inputs for creating a program of research and development to more fully develop a suite of innovative assessment tasks for the early grades.

Lead Organization(s): 
Award Number: 
1903103
Funding Period: 
Sat, 12/15/2018 to Sat, 11/30/2019
Full Description: 

SRI International, University of California-Berkeley (Lawrence Hall of Science), and WestEd will join efforts to articulate a potentially transformative approach for designing new kinds of classroom-based, three-dimensional assessment tasks that measure first graders' proficiencies in integrated science and literacy learning. The main goal of this study will be to conduct exploratory-design work to produce both the design approach and the early-stage tasks that are critical inputs for creating a program of research and development to more fully develop a suite of innovative assessment tasks for the early grades. Specific goals of the effort will be: (1) to iteratively develop and refine a design approach that enables assessment designers to develop Next Generation Science Standards (NGSS)-aligned tasks and rubrics that include a literacy component for the early grades; (2) to use this design approach to create two exemplar assessment tasks that are feasible for classroom use; and (3) to collect initial evidence that informs the promise of the design approach.

The work's research question will be: How can we extend current methodology to create assessments that integrate the three dimensions of the NGSS and literacy for early learners? The study will select first grade as the learning environment and two of the NGSS first grade performance expectations as the assessment targets. First grade students are typically at a critical point in developing their language and literacy proficiencies, which will allow the team to take on the challenges of variation in language and literacy skills. Correspondingly, the study will select two NGSS first grade life sciences performance expectations, because they include direct ties to literacy practices in science: (1) From Molecules to Organisms: Structures and Processes (Read texts and use media to determine patterns in behavior of parents and offspring that help offspring survive); and (2) Heredity: Inheritance and Variation of Traits (Make observations to construct an evidence-based account that young plants and animals are like, but not exactly like their parents). The design phase of the activity will consist of an assessment of the learning context and targets of the study, and the development of an assessment framework following the National Research Center's report, "Designing Assessments for the Next Generation Science Standards" (2014), including the principled assessment evidence-centered-design methodology. Data gathering, and interpretation strategies will include Experts' Review of the design approach, a focus group of teachers (n=8), and one-on-one cognitive interviews with students (n=20), conducted by researchers, which will be recorded to determine the quality and usability of the assessments using qualitative methods. The ultimate outcome of the proposed work will be a design approach for creating assessment tasks in a principled way across science disciplines for early elementary grade students. An advisory board will provide formative assessment feedback to the research team.

Articulating a Transformative Approach for Designing Tasks that Measure Young Learners' Developing Proficiencies in Integrated Science and Literacy (Collaborative Research: Rutstein)

The main goal of this study will be to conduct exploratory-design work to produce both the design approach and the early-stage tasks that are critical inputs for creating a program of research and development to more fully develop a suite of innovative assessment tasks for the early grades.

Lead Organization(s): 
Award Number: 
1853923
Funding Period: 
Sat, 12/15/2018 to Sat, 11/30/2019
Full Description: 

SRI International, University of California-Berkeley (Lawrence Hall of Science), and WestEd will join efforts to articulate a potentially transformative approach for designing new kinds of classroom-based, three-dimensional assessment tasks that measure first graders' proficiencies in integrated science and literacy learning. The main goal of this study will be to conduct exploratory-design work to produce both the design approach and the early-stage tasks that are critical inputs for creating a program of research and development to more fully develop a suite of innovative assessment tasks for the early grades. Specific goals of the effort will be: (1) to iteratively develop and refine a design approach that enables assessment designers to develop Next Generation Science Standards (NGSS)-aligned tasks and rubrics that include a literacy component for the early grades; (2) to use this design approach to create two exemplar assessment tasks that are feasible for classroom use; and (3) to collect initial evidence that informs the promise of the design approach.

The work's research question will be: How can we extend current methodology to create assessments that integrate the three dimensions of the NGSS and literacy for early learners? The study will select first grade as the learning environment and two of the NGSS first grade performance expectations as the assessment targets. First grade students are typically at a critical point in developing their language and literacy proficiencies, which will allow the team to take on the challenges of variation in language and literacy skills. Correspondingly, the study will select two NGSS first grade life sciences performance expectations, because they include direct ties to literacy practices in science: (1) From Molecules to Organisms: Structures and Processes (Read texts and use media to determine patterns in behavior of parents and offspring that help offspring survive); and (2) Heredity: Inheritance and Variation of Traits (Make observations to construct an evidence-based account that young plants and animals are like, but not exactly like their parents). The design phase of the activity will consist of an assessment of the learning context and targets of the study, and the development of an assessment framework following the National Research Center's report, "Designing Assessments for the Next Generation Science Standards" (2014), including the principled assessment evidence-centered-design methodology. Data gathering, and interpretation strategies will include Experts' Review of the design approach, a focus group of teachers (n=8), and one-on-one cognitive interviews with students (n=20), conducted by researchers, which will be recorded to determine the quality and usability of the assessments using qualitative methods. The ultimate outcome of the proposed work will be a design approach for creating assessment tasks in a principled way across science disciplines for early elementary grade students. An advisory board will provide formative assessment feedback to the research team.

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