Low Socio-economic Status Students

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: Spreading Computational Literacy Equitably via Integration of Computing in Preservice Teacher Preparation

This project will study the effect of integrating computing into preservice teacher programs. The project will use design-based research to explore how to connect computing concepts and integration activities to teachers' subject area knowledge and teaching practice, and which computing concepts are most valuable for general computational literacy.

Lead Organization(s): 
Award Number: 
1941642
Funding Period: 
Wed, 07/01/2020 to Mon, 06/30/2025
Full Description: 

Understanding and creating computer-powered solutions to professional and personal problems enables people to be safe, resourceful, and inventive in the technology-infused world. To empower society, K-12 education is rapidly changing to spread computational literacy. To spread literacy equitably, schools must give all students opportunities to understand and design computing solutions. However, school schedules are already packed with required coursework, and most teachers graduated from programs that did not offer computer science courses. To spread computational literacy within the K-12 system, this project will integrate computing into all preservice teacher programs at Georgia State University. This approach enables all teachers, regardless of primary discipline or grade band, to introduce their students to authentic computing solutions within their discipline and use these solutions as powerful tools for teaching disciplinary content and practices. In addition, this approach ensures equity because all preservice teachers will learn to use computing tools through their regular coursework, rather than a self-selected group that chooses to engage in elective courses or professional development on the topic. The project will also require preservice teachers to use computing-integrated activities in their student teaching experiences. This requirement helps teachers gain the confidence to use the activities in their future classrooms and immediately benefits students in the Atlanta area, who are primarily from groups that are underrepresented in computing, including women, people of color and those who are from low-income families.

This project will study the effect of computing integration in preservice teacher programs on computational literacy. Preservice teacher programs, like K-12 school schedules, are loaded with subject area, pedagogy, and licensure requirements. Therefore, research needs to examine the most sustainable methods for integrating computing into these programs. The proposed project will use design-based research to explore 1) how to connect computing concepts and integration activities to teachers' subject area knowledge and teaching practice, and 2) which computing concepts are most valuable for general computational literacy. Because computational literacy is a relatively new literacy, the computing education community still debates which concepts are foundational for all citizens. By studying computing integration in a range of grade bands and subject areas, this project will explore which computing concepts are applicable in a wide range of subjects. These research activities will feed directly into the teaching objective of this project ? to provide computing education and computational literacy to all preservice teachers. This project will prepare about 1500 preservice teachers (more than half of them will be women) across all grades and subject areas who can teach computing integrated activities.

 

Looking Back and Looking Forward: Increasing the Impact of Educational Research on Practice

The focus of this conference is to carefully examine past and current research with an eye toward improving its impact on practice and to create concrete steps that could shape the nature and impact of mathematics education research.

Lead Organization(s): 
Award Number: 
1941494
Funding Period: 
Sun, 09/01/2019 to Mon, 08/31/2020
Full Description: 

The focus of the proposed conference is to carefully examine past and current research with an eye toward improving its impact on practice. This conference is designed to create concrete steps that could shape the nature and impact of mathematics education research for years to come. A diverse group of 50 participants will be invited to participate. Participants include 10 experienced K-12 educators whose perspectives will be used to anchor the conference in problems of practice. Other participants represent senior through more junior scholars who have demonstrated a commitment to addressing the disconnect between research and practice, along with technology experts to advise participants on capabilities and innovative uses of modern technologies for instruction, assessment and data management.

The overarching goal for the conference is to help the field of mathematics education think deeply about the most productive ways to answer the following questions: [1] Why hasn't past research had a more direct impact on practice? What can be learned from this historical analysis for future research? [2] What is a possible vision for research that would have a more direct impact on practice? What questions should be asked? What methods should be used? What concrete steps can be taken to launch the new research programs? [3] What are the implications of adopting new kinds of research programs? If they gain traction, how will such changes affect the broader education community and infrastructure, including preservice teacher education, teacher professional development, and the training of future researchers? How should the roles of researchers and teachers change? What incentive structures might motivate these changes? How will new programs of research interact with existing programs?

Early Emergence of Socioeconomic Disparities in Mathematical Understanding

This study will provide foundational knowledge about the activities and interactions in the home environment that drive the early emergence of math skills disparities related to SES.

Project Email: 
Lead Organization(s): 
Award Number: 
1920545
Funding Period: 
Sun, 09/01/2019 to Wed, 08/31/2022
Project Evaluator: 
Full Description: 

The math skills of children from high income families have grown faster than those of children from middle- or low-income families resulting in a significant and persistent gap. These disparities emerge in preschool and are larger by the start of kindergarten. As children progress through school, the gap in math skills persists or even widens. Importantly, SES-related disparities in math skills have implications for long-term academic achievement and educational attainment, as well as access to STEM education and professions in adulthood. As such, there is an urgent need to identify the factors shaping early math development before children start formal schooling. This investigation will provide foundational knowledge about the activities and interactions in the home environment that drive the early emergence of math skills disparities related to SES. In the long term, findings from this work could inform home visitation programs and early care and education curricula aimed at strengthening the early math skills of children living in low resourced communities. The knowledge generated by this study has the potential to enhance equity in access to STEM education and professions for all children.

Using a longitudinal sequential study of two cohorts of socioeconomically diverse 30-month-olds (N = 320) and their parents, the proposed study will strengthen knowledge of the etiology of SES disparities in math skills by addressing three aims. First, it will examine associations between the home learning environment (HLE) and early math skills. Second, it will describe SES disparities in HLE and their implications for math learning. Third, it will test family stress and family culture as pathways through which SES shapes HLE and early math skills. Children will complete assessments of early math skills and other general cognitive abilities at age 30 months and again around 42-47 months. In addition to the child assessments at 30 months, in-home structured observations with a parent, parent surveys, and time diaries will measure the quantity and quality of children's opportunities for math learning at home. To measure family stress, parents will complete questionnaires assessing general stress as well as stress specifically related to performing and teaching math. To measure family culture, parents will complete questionnaires assessing their general and math-specific parenting beliefs and observations of family interactions will be conducted. This study will test whether domain-general and math-specific family stress and culture mediate the relation between HLE and SES. In sum, this study will make contributions to understanding the early emergence of economic disparities in early math skills. Theoretically, it will delineate whether domain-general or math-specific differences in HLE explain disparities in early math skills related to socioeconomic status. It will advance research by concurrently considering the roles of stress and culture in shaping disparities in children's opportunity to learn math in their early home environments. This project is funded by the EHR Core Research program, which emphasizes STEM education research that will generate foundational knowledge in the field.

Alternative video text
Alternative video text: 

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.

Validation of the Equity and Access Rubrics for Mathematics Instruction (VEAR-MI)

The main goal of this project is to validate a set of rubrics that attend to the existence and the quality of instructional practices that support equity and access in mathematics classes. The project team will clarify the relationships between the practices outlined in the rubrics and aspects of teachers' perspectives and knowledge as well as student learning outcomes.

Award Number: 
1908481
Funding Period: 
Mon, 07/15/2019 to Fri, 06/30/2023
Full Description: 

High-quality mathematics instruction remains uncommon and opportunities for students to develop the mathematical understanding are not distributed equally. This is particularly true for students of color and students for whom English is not their first language. While educational research has made progress in identifying practices that are considered high-quality, little attention has been given to specific instructional practices that support historically marginalized groups of students particularly as they participate in more rigorous mathematics. The main goal is to validate a set of rubrics that attend to the existence and the quality of instructional practices that support equity and access in mathematics classes. In addition, the project team will clarify the relationships between the practices outlined in the rubrics and aspects of teachers' perspectives and knowledge as well as student learning outcomes.

This project will make use of two existing large-scale datasets focusing on mathematics teachers to develop rubrics on mathematics instructional quality. The datasets include nearly 3,000 video-recorded mathematics lessons and student achievement records from students in Grades 3 through 8. The four phases of this research and development project include training material development, an observation and rubric generalizability study, a coder reliability study, and structural analysis. Data analysis plans involve case studies, exploratory and confirmatory factor analyses, and cognitive interviews. 

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.

Developing and Validating Early Assessments of College Readiness: Differential Effects for Underrepresented Groups, Optimal Timing of Assessments, and STEM-Specific Indicators

This purpose of this project is to develop and validate a range of assessments with a focus on academic preparedness for higher education. The team will explore relevant qualities of assessments such as their differential predictive validity to ensure they are appropriate for underrepresented groups, the optimal grade level to begin assessing readiness, and measures that are most appropriate for predicting STEM-specific readiness.

Project Email: 
Award Number: 
1908630
Funding Period: 
Mon, 07/15/2019 to Wed, 06/30/2021
Project Evaluator: 
Full Description: 

One third of all college freshmen are academically unprepared for entry-level college coursework and require remedial course. That figure is much higher at many colleges. The problem is more acute in STEM disciplines, particularly among students from underrepresented ethnic groups and low socioeconomic status families. This purpose of this project is to develop and validate a range of assessments with a focus on academic preparedness for higher education. The team will explore relevant qualities of assessments such as their differential predictive validity to ensure they are appropriate for underrepresented groups, the optimal grade level to begin assessing readiness, and measures that are most appropriate for predicting STEM-specific readiness.

This project will use two recent and complementary large-scale, nationally representative federal databases: the High School Longitudinal Study of 2009 and the Education Longitudinal Study of 2002. Factor analysis will be used to develop composite variables of college readiness and multilevel regression will be used to develop predictive models on a range of college outcomes to test the predictive validity of composite and individual predictors. The models will be extended to conduct multiple group analyses to test for differential prediction for students from underrepresented groups. The project intends to promote 1) the use of a wider range of assessments of academic preparedness, 2) the use of measures that are more sensitive for assessing college readiness from underrepresented groups and among STEM majors, 3) earlier assessment using indicators and models with predictive validity and 4) progress monitoring of college readiness by providing a detailed example of how that can be developed and implemented. Findings will also raise student, parental, teacher, and other school personnel awareness of the range of factors relevant for preparing students for college.

Alternative video text
Alternative video text: 

Pages

Subscribe to Low Socio-economic Status Students