Chemistry

Supporting the Implementation of Scientific Modeling Instruction in High School Chemistry and Biology in Rural Schools

High school students in many rural school districts have limited access to advanced STEM coursework and advanced technologies, including high-speed Internet. Rural school districts face difficulties in recruiting and retaining STEM teachers. In many cases, rural STEM teachers need additional training and support. The project will identify these, and other barriers rural teachers face and create professional development for teachers.

Award Number: 
2101590
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

High school students in many rural school districts have limited access to advanced STEM coursework and advanced technologies, including high-speed Internet. Rural school districts face difficulties in recruiting and retaining STEM teachers. In many cases, rural STEM teachers need additional training and support. The project will identify these, and other barriers rural teachers face and create professional development for teachers. The training will be designed to increase their discipline specific knowledge and related skills in engaging students in using models to explore, analyze, assess, and improve their thinking about and knowledge of science. Participating teachers will receive 114 hours of formal professional development in the summer and sustained support from follow-up sessions and an innovative virtual mentoring throughout the academic year. The project will revise biology and chemistry curriculum and support 30-90 teachers annually in rural areas in implementing reform-oriented MI instruction benefiting approximately 25,000 rural students. The project will result in a network of leader teachers who can sustain project initiatives. Online STEM professional development courses and digital tools for rural teachers and teachers will be made widely disseminated. In addition, project resources and research findings will be disseminated via conference presentations and peer-reviewed research journals.

Project research is designed to generate knowledge about the development of rural science teachers' pedagogical content knowledge (PCK) and the supports needed as rural teachers implement an approach to teaching called Modeling Instruction (MI). PCK refers to knowledge of and how to teach discipline-specific science concepts. MI is a pedagogical approach where students are actively engaged in using conceptual models that are created and applied to concrete physical, biological, and chemical phenomena to promote their understanding of scientific/mathematical principles. Through longitudinal mixed-methods research, the project will add new knowledge about PCK and MI. The project will investigate the progression of teachers’ PCK associated with the high-level implementation of MI that engages students in science research practices. The research of discipline specific PCK will significantly inform the curriculum and design of preservice and in-service science teacher education programs. The project will also research how various aspects of mentoring (e.g., feedback, interactions, discourse, and the modes and quantity of mentoring activities) support teachers in the effective use of PCK in the classroom. Qualitative research tools will include analysis of videos of teacher implementation of lessons, interviews with teachers focusing on the lessons, focus groups and semi-structured interviews on mentoring experiences, and analysis of teacher mentor-teacher mentee sessions and activity. The Science Instruction Practices Survey will collect quantitative data that will be used to understand each teacher’s implementation of MI, looking at the science practices that teachers in the classroom such as investigation, data collection and analysis, explanation, modeling, and science communication.

Using Natural Language Processing to Inform Science Instruction (Collaborative Research: Linn)

This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. The project will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic.

Partner Organization(s): 
Award Number: 
2101669
Funding Period: 
Thu, 07/01/2021 to Mon, 06/30/2025
Full Description: 

Often, middle school science classes do not benefit from participation of underrepresented students because of language and cultural barriers. This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. This work continues a partnership among the University of California, Berkeley, Educational Testing Service, and science teachers and paraprofessionals from six middle schools enrolling students from diverse racial, ethnic, and language groups whose cultural experiences may be neglected in science instruction. The partnership will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic. The partnership leverages a web-based platform to implement adaptive guidance designed by teachers that feature dialog and peer interaction. Further, the platform features teacher tools that can detect when a student needs additional help and alert the teacher. Teachers using the technology will be able to track and respond to individual student ideas, especially from students who would not often participate because of language and cultural barriers.

This project develops AI-based technology to help science teachers increase their impact on student science learning. The technology is aimed to provide accurate analysis of students' initial ideas and adaptive guidance that gets each student started on reconsidering their ideas and pursuing deeper understanding. Current methods in automated scoring primarily focus on detecting incorrect responses on test questions and estimating the overall knowledge level in a student explanation. This project leverages advances in natural language processing (NLP) to identify the specific ideas in student explanations for open-ended science questions. The investigators will conduct a comprehensive research program that pairs new NLP-based AI methods for analyzing student ideas with adaptive guidance that, in combination, will empower students to use their ideas as starting points for improving science understanding. To evaluate the idea detection process, the researchers will conduct studies that investigate the accuracy and impact of idea detection in classrooms. To evaluate the guidance, the researchers will conduct comparison studies that randomly assign students to conditions to identify the most promising adaptive guidance designs for detected ideas. All materials are customizable using open platform authoring tools.

Using Natural Language Processing to Inform Science Instruction (Collaborative Research: Riordan)

This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. The project will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic.

Lead Organization(s): 
Award Number: 
2101670
Funding Period: 
Thu, 07/01/2021 to Mon, 06/30/2025
Full Description: 

Often, middle school science classes do not benefit from participation of underrepresented students because of language and cultural barriers. This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. This work continues a partnership among the University of California, Berkeley, Educational Testing Service, and science teachers and paraprofessionals from six middle schools enrolling students from diverse racial, ethnic, and language groups whose cultural experiences may be neglected in science instruction. The partnership will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic. The partnership leverages a web-based platform to implement adaptive guidance designed by teachers that feature dialog and peer interaction. Further, the platform features teacher tools that can detect when a student needs additional help and alert the teacher. Teachers using the technology will be able to track and respond to individual student ideas, especially from students who would not often participate because of language and cultural barriers.

This project develops AI-based technology to help science teachers increase their impact on student science learning. The technology is aimed to provide accurate analysis of students' initial ideas and adaptive guidance that gets each student started on reconsidering their ideas and pursuing deeper understanding. Current methods in automated scoring primarily focus on detecting incorrect responses on test questions and estimating the overall knowledge level in a student explanation. This project leverages advances in natural language processing (NLP) to identify the specific ideas in student explanations for open-ended science questions. The investigators will conduct a comprehensive research program that pairs new NLP-based AI methods for analyzing student ideas with adaptive guidance that, in combination, will empower students to use their ideas as starting points for improving science understanding. To evaluate the idea detection process, the researchers will conduct studies that investigate the accuracy and impact of idea detection in classrooms. To evaluate the guidance, the researchers will conduct comparison studies that randomly assign students to conditions to identify the most promising adaptive guidance designs for detected ideas. All materials are customizable using open platform authoring tools.

Developing the Pedagogical Skills and Science Expertise of Teachers in Underserved Rural Settings

The project will develop and research an innovative model for rural science teacher professional development via technology-mediated lesson study (TMLS). This approach supports translating professional learning into classroom practice by developing a technology-based, social support system among rural teachers.

Lead Organization(s): 
Award Number: 
2101383
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

Rural science teachers are often isolated and have few opportunities for meaningful collaboration with fellow teachers, an important source of professional learning. The project will develop and research an innovative model for rural science teacher professional development via technology-mediated lesson study (TMLS). This approach supports translating professional learning into classroom practice by developing a technology-based, social support system among rural teachers. The project will host summer workshops for high school biology and chemistry teachers from four rural Utah regions to learn about 3D science teaching. (3D science teaching incorporates core ideas science disciplines, science research practices, and concepts cutting across disciplines to help students meet performance expectations by engaging with authentic science phenomena.) In the workshops, participants will collaborate with the project team and teachers of the same subject from the same region of the state to co-design 3D science lessons that align with state and national education standards. Building on relationships developed during the workshops, the regional teacher teams will engage in a novel form of professional learning: technology-mediated lesson study. (Lesson study is an instructional inquiry model where teachers work face-to-face in small collaborative groups to craft, deliver, observe, and refine teaching practice.) This project will develop capacity for science teaching for 88 rural science teachers in four regions of the state, who will reach approximately 10,000 rural Utah students each year. Many of the students are members of the sovereign Ute, Paiute, Goshute, Navajo (Diné), and Shoshone Nations. The science lesson plans participants design will be made available to all Utah teachers, and shared with a national audience through a website that shares peer-reviewed science lesson plans. Project research and resources will be further disseminated through conference presentations and publications in peer-reviewed and practitioner journals.

The project will research how TMLS supports teachers in the process of translating professional learning into practice and investigate the impact of changing teachers’ social support network to include teachers of the same subject from other rural schools. The project will study the effects of co-design activities and TMLS cycles on teachers’ changing capacity, practice, and social support system using mixed-methods research. Changes in capacity and practice will be examined qualitatively through interviews, video observations of classroom teaching, and TMLS meetings. The effects of TMLS on teachers’ social support system will be analyzed quantitatively using social network analysis to identify individuals who act as information hubs for 3D science teaching. These teachers will be interviewed to better understand their social interactions. Using design-based implementation research, the project will iteratively improve the professional learning experience collaboratively with the science teacher leaders who participate in the project.

Pandemic Learning Loss in U.S. High Schools: A National Examination of Student Experiences

As a result of the COVID-19 pandemic, schools across much of the U.S. have been closed since mid-March of 2020 and many students have been attempting to continue their education away from schools. Student experiences across the country are likely to be highly variable depending on a variety of factors at the individual, home, school, district, and state levels. This project will use two, nationally representative, existing databases of high school students to study their experiences in STEM education during the COVID-19 pandemic.

Lead Organization(s): 
Award Number: 
2030436
Funding Period: 
Fri, 05/15/2020 to Sat, 04/30/2022
Full Description: 

As a result of the COVID-19 pandemic, schools across much of the U.S. have been closed since mid-March of 2020 and many students have been attempting to continue their education away from schools. Student experiences across the country are likely to be highly variable depending on a variety of factors at the individual, home, school, district, and state levels. This project will use two, nationally representative, existing databases of high school students to study their experiences in STEM education during the COVID-19 pandemic. The study intends to ascertain whether students are taking STEM courses in high school, the nature of the changes made to the courses, and their plans for the fall. The researchers will identify the electronic learning platforms in use, and other modifications made to STEM experiences in formal and informal settings. The study is particularly interested in finding patterns of inequities for students in various demographic groups underserved in STEM and who may be most likely to be affected by a hiatus in formal education.

This study will collect data using the AmeriSpeak Teen Panel of approximately 2,000 students aged 13 to 17 and the Infinite Campus Student Information System with a sample of approximately 2.5 million high school students. The data sets allow for relevant comparisons of student experiences prior to and during the COVID-19 pandemic and offer unique perspectives with nationally representative samples of U.S. high school students. New data collection will focus on formal and informal STEM learning opportunities, engagement, STEM course taking, the nature and frequency of instruction, interactions with teachers, interest in STEM, and career aspirations. Weighted data will be analyzed using descriptive statistics and within and between district analysis will be conducted to assess group differences. Estimates of between group pandemic learning loss will be provided with attention to demographic factors.

This RAPID award is made by the DRK-12 program in the Division of Research on Learning. The Discovery Research PreK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics by preK-12 students and teachers, through the research and development of new innovations and approaches. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for the projects.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

 

 

 

 

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.

Developing Learning Environments that Support Molecular-Level Sensemaking

This project will investigate how high school students can be supported in developing, organizing and using knowledge of atomic/molecular behavior to make sense of phenomena such as phase changes, atomic emmision spectra and dissolution. The project will study whether an innovative college level curriculum, "Chemistry, Life, the Universe and Everything" (CLUE) can be co-modified by teachers, chemists, and researchers to help students master these difficult concepts and connections.

Partner Organization(s): 
Award Number: 
2003680
Funding Period: 
Sat, 06/15/2019 to Wed, 05/31/2023
Full Description: 

This Early Stage Design and Development (Level II) project is aimed at understanding how learning environments should be designed to support high school students enrolled in an introductory chemistry course in making sense of phenomena in terms of atomic/molecular behavior. As students do not derive many intellectual resources useful for reasoning about the particulate-level from experience, sensemaking in chemistry relies heavily on knowledge cultivated in formal instructional settings. A significant body of research on college-level learning environments indicates that centering instruction around scaffolded progressions of core ideas help students develop, organize, and use their knowledge to explain and model phenomena. Preliminary results from a study conducted by the PI and co-PI show that adapting college-level, evidence-based conceptual progressions for use in high school has the potential to aid students in connecting molecular-level structure to measurable properties. 

This research program focuses on leveraging the practical knowledge of teacher co-developers who participated in preliminary studies to realize a Next-Generation Science Standards-aligned curricular framework supportive of 3-dimensional learning in chemistry. In designing learning environments supportive of molecular-level sensemaking, the research team will consider 1) when students are prepared to grapple with the inferences required to figure out causes for observable occurrences, and 2) how sensemaking opportunities should be structured to engage students in collaborative construction and critique of explanations and models of phenomena. Student ability to engage in sensemaking will be assessed via analysis of responses to carefully designed and validated three-dimensional assessments, and analysis of the discourse practices of student groups as they engage in construction and refinement of models and explanations. This program of research will also place substantial focus on characterizing how and why teacher co-developers modify curricular materials in order that supports for productive modifications might be embedded throughout teacher-facing resources. This project will provide evidence about how students should be supported in developing, organizing, and using knowledge of atomic/molecular behavior to make sense of phenomena. Concomitant focus on the design and analysis of learning environments for high school chemistry will enable data-driven refinement of materials, and support elucidation of generalizable design principles. The aim of this research is to develop and make available materials that constitute "tool kits" for a curricular activity system (including text, teacher guides, student guides, and formative and summative assessments). Three-dimensional assessment items designed and validated in the research will be made broadly available and could serve as benchmarks for the efficacy of high school chemistry curricula nationwide.

This project was previously funded under award #1906293.

Design Research on the Teaching and Learning of Conceptual Understanding in High School Chemistry Through the Use of Dynamic Visualizations of Physical and Chemical Changes

The project will establish a sustained community of practice for high school teachers skilled in the VisChem Approach and a group of new teaching and research scholars with expertise in building conceptual understanding through the effective use of visualization. The project will help students move from describing phenomena to explaining their causes from a molecular-level perspectives (e.g., carbon dioxide in climate change, DNA changes in genetically modified organisms).

Lead Organization(s): 
Award Number: 
1908121
Funding Period: 
Sun, 09/01/2019 to Sat, 08/31/2024
Full Description: 

This is a late-stage design and development proposal in the teaching strand which addresses the teaching and learning of chemistry at the secondary level, grades 10-12. There is a critical need to transform chemistry teaching and learning from an emphasis on description of phenomena to deep understanding consistent with the Next Generation Science Standards (NGSS). The project will establish a sustained community of practice of teachers skilled in the VisChem Approach and a group of new teaching and research scholars with expertise in building conceptual understanding through the effective use of visualization. The project will help students move from describing phenomena to explaining their causes from a molecular-level perspectives (e.g., carbon dioxide in climate change, DNA changes in genetically modified organisms). With a focus on traditionally under-served groups including English Language Learners, the project will impact up to 80,000 high school chemistry students from a broad range of socioeconomic, geographic, and racial backgrounds.

This project will develop teachers' knowledge and skills to help their students build accurate molecular-level mental models to explain phenomena as opposed to the overemphasis on description with abstract symbolism and language. Three chemistry teacher cohorts (N = 64) will participate in intensive nstitutes to learn the research foundation and pedagogical moves for the VisChem approach. The approach uses carefully produced dynamic visualizations with teaching strategies informed by a cognitive learning model. Key to VisChem is communication of internal visualizations using storyboards (drawings with explanation) of chemical and physical changes. The project will use an iterative research design examining teacher and student learning in the Institutes and how they implement the learning in classrooms. Data collected will include teachers' storyboards, classroom videos, and pre/post student assessments. Evaluation will provide iterative feedback to incrementally improve the institutes during the project.

CAREER: Expanding Latinxs' Opportunities to Develop Complex Thinking in Secondary Science Classrooms through a Research-Practice Partnership

This project will address the need to educate teachers and students to engage in asking questions, collecting and interpreting data, making claims, and constructing explanations about real-world problems that matter to them. The study will explore ways to enhance youths' learning experiences in secondary school classrooms (grades 6-12) by building a sustainable partnership between researchers and practitioners.

Award Number: 
1846227
Funding Period: 
Mon, 07/01/2019 to Sun, 06/30/2024
Full Description: 

This project will address the need to educate teachers and students to engage in asking questions, collecting and interpreting data, making claims, and constructing explanations about real-world problems that matter to them. Science educators generally agree that science classrooms should provide opportunities for students to advance their thinking by engaging in critical conversations with each other as capable sense-makers. Despite decades of reform efforts and the use of experiential activities in science instruction, research indicates that classroom learning for students remains largely procedural, undemanding, and disconnected from the development of substantive scientific ideas. Furthermore, access to high-quality science instruction that promotes such complex thinking is scarce for students with diverse cultural and linguistic backgrounds. The project goals will be: (1) To design a year-long teacher professional development program; and (2) To study the extent to which the professional development model improves teachers' capacity to plan and implement inclusive science curricula.

This study will explore ways to enhance youths' learning experiences in secondary school classrooms (grades 6-12) by building a sustainable partnership between researchers and practitioners. The work will build on a previous similar activity with one local high school; plans are to expand the existing study to an entire school district over five years. The proposed work will be conducted in three phases. During Phase I, the study will develop a conceptual framework focused on inclusive science curricula, and implement the new teacher professional development program in 3 high schools with 15 science teachers. Phase II will expand to 6 middle schools in the school district with 24 teachers aimed at creating a continuous and sustainable research-practice partnership approach at the district. Phase III will focus on data analysis, assessment of partnership activities, dissemination, and planning a research agenda for the immediate future. The study will address three research questions: (1) Whether and to what extent does participating teachers' capacity of planning and implementing the curriculum improve over time; (2) How and why do teachers show differential progress individually and collectively?; and (3) What opportunities and constraints within schools and the school district shape teachers' development of their capacity to design and implement curricula? To address the research questions, the project will gather information about the quality of planned and implemented curriculum using both qualitative and quantitative data. Main project's outcomes will be: (1) a framework that guides teachers' engagement in planning and implementing inclusive science curricula; and (2) increased knowledge base on teacher learning. An advisory board will oversee the work in progress. An external evaluator will provide formative and summative feedback.

Supporting Teachers in Responsive Instruction for Developing Expertise in Science (Collaborative Research: Linn)

This project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. Students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses.

Partner Organization(s): 
Award Number: 
1813713
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

Many teachers want to adapt their instruction to meet student learning needs, yet lack the time to regularly assess and analyze students' developing understandings. The Supporting Teachers in Responsive Instruction for Developing Expertise in Science (STRIDES) project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. In this project students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. Advanced technologies (including natural language processing) will be used to assess students' written responses and summaries their science understanding in real-time. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses. Research will examine how teachers make use of the feedback and suggestions to customize their instruction. Further we will study how these instructional changes help students develop coherent understanding of complex science topics and ability to make sense of models and graphs. The findings will be used to refine the tools that analyze the student essays and generate the summaries; improve the research-based instructional suggestions in the planning tool; and strengthen the online interface for teachers. The tools will be incorporated into open-source, freely available online curriculum units. STRIDES will directly benefit up to 30 teachers and 24,000 students from diverse school settings over four years.

Leveraging advances in natural language processing methods, the project will analyze student written explanations to provide fine-grained summaries to teachers about strengths and weaknesses in student work. Based on the linguistic analysis and logs of student navigation, the project will then provide instructional customizations based on learning science research, and study how teachers use them to improve student progress. Researchers will annually conduct at least 10 design or comparison studies, each involving up to 6 teachers and 300-600 students per year. Insights from this research will be captured in automated scoring algorithms, empirically tested and refined customization activities, and data logging techniques that can be used by other research and curriculum design programs to enable teacher customization.


 Project Videos

2021 STEM for All Video Showcase

Title: Web-based Personalized Science Units Empowering Anti-Racism

Presenter(s): Marcia Linn, Sarah Bichler, Kelly Billings, Allison Bradford, Libby Gerard, Rui Li, & Jonathan Lim-Breitbart

2020 STEM for All Video Showcase

Title: STRIDES: Customizing Online Curricula for Distance Learning

Presenter(s): Libby Gerard, Sarah Bichler, Phillip Boda, Allison Bradford, Emily Harrison, Jennifer King Chen, Jonathan Lim-Breitbart, Marcia Linn, & Korah Wiley


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