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Creating Inclusive PreK–12 STEM Learning Environments

Brief CoverBroadening participation in PreK–12 STEM provides ALL students with STEM learning experiences that can prepare them for civic life and the workforce.

Author/Presenter

Malcom Butler

Cory Buxton

Odis Johnson Jr.

Leanne Ketterlin-Geller

Catherine McCulloch

Natalie Nielsen

Arthur Powell

Year
2018
Short Description

This brief offers insights from National Science Foundation-supported research for education leaders and policymakers who are broadening participation in science, technology, engineering, and/or mathematics (STEM). Many of these insights confirm knowledge that has been reported in research literature; however, some offer a different perspective on familiar challenges.

Thinking Critically, Coding Creatively: Elevating Social Studies Through Inquiry-based Learning and Computer Science Integration

Weaving computer science into the fabric of social studies, rather than teaching it as an isolated skill, makes both subjects more relevant, engaging, and beneficial to students.

Berson, M. J., Berson, I. R., Franklin, K. L., Fawley, V. N., Shank, P. S., Dovi, R. E., Gasca, S., Hochberg, E. D., Berstein, D. (2024). Thinking critically, coding creatively: Elevating social studies through inquiry-based learning and computer science integration. Social Education, 98-103.

Author/Presenter

Michael J. Berson

Ilene R. Berson

Kristen L. Franklin

Valerie N. Fawley

Perry S. Shank

Rebecca E. Dovi

Santiago Gasca

Eric D. Hochberg

Debra Bernstein

Year
2024
Short Description

Weaving computer science into the fabric of social studies, rather than teaching it as an isolated skill, makes both subjects more relevant, engaging, and beneficial to students.

Opening the Door to Data Science in STEM Classrooms

In today’s technologically complex and connected world, students’ needs to develop competencies and confidence with data have never been greater. A new On the Same Wavelength blog post shares work from a National Science Foundation project, Boosting Data Science Teaching and Learning in STEM. The authors describe effective practices for engaging all students with data in the classroom.

Perez , L. & Lionberger, K. (2023, May 3). Opening the door to data science in STEM classrooms. NextGenScience.

Author/Presenter

Leticia Perez

Karen Lionberger

Lead Organization(s)
Year
2023
Short Description

In today’s technologically complex and connected world, students’ needs to develop competencies and confidence with data have never been greater. The authors describe effective practices for engaging all students with data in the classroom.

Centering Educators’ Voices in the Development of Professional Learning for Data-Rich, Place-Based Science Instruction

This self-reflective case study describes our project team’s efforts to promote equity in science professional learning (PL) by centering the voices of educators in the PL design process and within the course itself. We believe that educators’ experiences, priorities, and expertise are essential to developing professional learning that meets the needs of teachers and their students. We have a particular interest in amplifying the voices of those in historically underrepresented communities.

Author/Presenter

Nicole Wong

Rasha Elsayed

Katy Nilsen

Leticia R. Perez

Kirsten R. Daehler

Lead Organization(s)
Year
2024
Short Description

This self-reflective case study describes our project team’s efforts to promote equity in science professional learning (PL) by centering the voices of educators in the PL design process and within the course itself. In this case study, we share and critique the practices and tools that we have employed to center educator voices, rather than those of the PL designers and researchers.

Co-designing a Justice-Centered STEM Teacher Professional Learning Project

This chapter describes an ongoing research-practice partnership with in-service teachers in communities across Oregon focused on broadening participation in science, technology, engineering, and mathematics (STEM) fields. Broadening participation is essential for creating more justice-centered STEM in our society and cannot occur without families and communities working in partnership with educators to ensure that community resources, needs, and multi-generational perspectives are centered in this work.

Author/Presenter

Cory Buxton

Karla Hale

Jay Well

Diana Crespo-Camacho

Barbara Ettenauer

Felisha Dake

Lead Organization(s)
Year
2024
Short Description

This chapter describes an ongoing research-practice partnership with in-service teachers in communities across Oregon focused on broadening participation in STEM fields. We explore how our design-based work with teachers is shaping our collective efforts to enact new language and science practices for supporting students’ justice-centered STEM meaning-making.

Teacher Innovator Interview: Rachel Folger

Rachel Folger laughs when she recounts the time one of the students in her eighth grade social studies class exclaimed, “Whoa, Ms. Folger! Did you know that this is just what we’re doing in math?” Rachel is thrilled that her students—who typically “walk through their day in these very isolated subject areas”—are making connections across the curriculum.

Author/Presenter

Concord Consortium

Lead Organization(s)
Year
2023
Short Description

Rachel Folger laughs when she recounts the time one of the students in her eighth grade social studies class exclaimed, “Whoa, Ms. Folger! Did you know that this is just what we’re doing in math?” Rachel is thrilled that her students—who typically “walk through their day in these very isolated subject areas”—are making connections across the curriculum.

Data Stories and Interdisciplinary Project-based Learning

The DataPBL project enlisted a team of teachers, data science educators, and researchers to co-design data experiences for the eighth grade Japanese American Internment curriculum module developed by EL Education. In the DataPBL version of the interdisciplinary project-based module, students analyze and visualize data in CODAP. Project research is studying how students tell stories with data and how this data storytelling contributes to students’ data agency and identity.

Author/Presenter

Joe Polman

Trang Tran

Kate Miller

Lead Organization(s)
Year
2023
Short Description

The DataPBL project enlisted a team of teachers, data science educators, and researchers to co-design data experiences for the eighth grade Japanese American Internment curriculum module developed by EL Education.

A Search for Data Offers a New Friendship and Answers to 8th Graders’ Questions

A curriculum developer on the DataPBL project details his journey searching for data about the Japanese American internment for 8th grade students to explore with CODAP.

Roderick, S. (July 6, 2023). A search for data offers a new friendship and answers to 8th graders’ questions. The Concord Consortium.

Author/Presenter

Steve Roderick

Lead Organization(s)
Year
2023
Short Description

A curriculum developer on the DataPBL project details his journey searching for data about the Japanese American internment for 8th grade students to explore with CODAP.

Uncovering Middle School CS Students’ Understanding of Variables and Control Structures: A Cognitive Think-Aloud Approach

This poster presents findings on middle school students’ understanding of core computer science (CS) concepts, such as variables and control structures, using cognitive think-aloud interviews with eight students. Each student worked on 16-22 formative assessment tasks designed to assess understanding on the ‘Algorithms and Programming’ middle school CS standards. Our study describes students’ interpretations of the CS concepts and discusses potential factors influencing student interpretations. Significance and next steps are described.

Author/Presenter

Hui Yang

Satabdi Basu

Daisy Rutstein

Arif Rachmatullah

Carol Tate

Christopher Ortiz

Eliese Rulifson

Lead Organization(s)
Year
2023
Short Description

This poster presents findings on middle school students’ understanding of core computer science (CS) concepts, such as variables and control structures, using cognitive think-aloud interviews with eight students.

Exploring Middle School Students’ Understanding of Algorithms Using Standards-aligned Formative Assessments: Teacher and Researcher Perspectives

‘Algorithms’ is a core CS concept included in the K-12 CS standards, yet student challenges with understanding different aspects of algorithms are still not well documented, especially for younger students. This paper describes an approach to decompose the broad middle-school ‘algorithms’ standard into finer grained learning targets, develop formative assessment tasks aligned with the learning targets, and use the tasks to explore student understanding of, and challenges with, the various aspects of the standard.

Author/Presenter

Satabdi Basu

Daisy Rutstein

Carol Tate

Arif Rachmatullah

Hui Yang

Christopher Ortiz

Lead Organization(s)
Year
2023
Short Description

‘Algorithms’ is a core CS concept included in the K-12 CS standards, yet student challenges with understanding different aspects of algorithms are still not well documented, especially for younger students. This paper describes an approach to decompose the broad middle-school ‘algorithms’ standard into finer grained learning targets, develop formative assessment tasks aligned with the learning targets, and use the tasks to explore student understanding of, and challenges with, the various aspects of the standard.