Computer Science

Mathematical and Computational Methods for Planning a Sustainable Future (PS-Future)

Instructional modules that bring sustainability topics into classrooms in a way that emphasizes the methods and tools of mathematics and computing and illustrates their role in planning for sustainability. Through the modules, students learn foundational and emerging concepts in mathematical and computational sciences set in the context of sustainability issues involving physical, biological, environmental, and social sciences.

Author/Presenter

The PS-Future Team

Year
2018
Short Description

Instructional modules that bring sustainability topics into classrooms in a way that emphasizes the methods and tools of mathematics and computing and illustrates their role in planning for sustainability. Through the modules, students learn foundational and emerging concepts in mathematical and computational sciences set in the context of sustainability issues involving physical, biological, environmental, and social sciences. Students develop an increasingly sophisticated understanding of the ways that these disciplines interact through inquiries driven by real problems such as combating invasive species, understanding environmental threats, managing water resources, interpreting weather data, and simply living greener.

Mathematical and Computational Methods for Planning a Sustainable Future (PS-Future)

Instructional modules that bring sustainability topics into classrooms in a way that emphasizes the methods and tools of mathematics and computing and illustrates their role in planning for sustainability. Through the modules, students learn foundational and emerging concepts in mathematical and computational sciences set in the context of sustainability issues involving physical, biological, environmental, and social sciences.

Author/Presenter

The PS-Future Team

Year
2018
Short Description

Instructional modules that bring sustainability topics into classrooms in a way that emphasizes the methods and tools of mathematics and computing and illustrates their role in planning for sustainability. Through the modules, students learn foundational and emerging concepts in mathematical and computational sciences set in the context of sustainability issues involving physical, biological, environmental, and social sciences. Students develop an increasingly sophisticated understanding of the ways that these disciplines interact through inquiries driven by real problems such as combating invasive species, understanding environmental threats, managing water resources, interpreting weather data, and simply living greener.

Reaching Across the Hallway: An Interdisciplinary Approach to Supporting Computer Science in Rural Schools

Principal Investigator:

"Reaching Across the Hallway: An Interdisciplinary Approach to Supporting Computer Science in Rural Schools" is in its first project year. Our goal is to design and develop a train-the-trainer professional development model that supports 5th-8th grade teachers in integrating culturally relevant computer science into their rural, social studies classrooms.

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Target Audience:

Strengthening STEM Teaching in Native American Serving Schools through Long-Term, Culturally Responsive Professional Development

Principal Investigator:

This is a 4-year, level II Exploratory study within the teaching strand of DRK12. The research explores the functioning and impact of a nationally-developed STEM professional development model within the Navajo Nation. Teacher participants represent the entire K-12 grade range and multiple content areas, and they all participate in an innovative STEM-content, culturally responsive, 8-month professional development fellowship. We explore the extent to which culturally responsive principles are evident in their self-authored curriculum units.

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Target Audience:

Extending and Investigating the Impact of the High School Model-based Educational Resource (Collaborative Research: Passmore and Wilson)

Principal Investigator:

We are collaborating on a project to examine the efficacy of high school biology instructional materials that support teachers' understanding and practice of model-based reasoning as an approach to support students in developing an integrated, multidimensional understanding of science. This poster summarizes our efforts to develop assessment tasks that measure students' ability to use model-based reasoning to make sense of biological phenomena and describes our use of crowdsourced adults to pilot test the tasks.

Co-PI(s): Molly Stuhlsatz, BSCS Science Learning

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Extending and Investigating the Impact of the High School Model-based Educational Resource (Collaborative Research: Passmore and Wilson)

Principal Investigator:

We are collaborating on a project to examine the efficacy of high school biology instructional materials that support teachers' understanding and practice of model-based reasoning as an approach to support students in developing an integrated, multidimensional understanding of science. This poster summarizes our efforts to develop assessment tasks that measure students' ability to use model-based reasoning to make sense of biological phenomena and describes our use of crowdsourced adults to pilot test the tasks.

Co-PI(s): Molly Stuhlsatz, BSCS Science Learning

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Getting Unstuck: Designing and Evaluating Teacher Resources to Support Conceptual and Creative Fluency with Programming

Principal Investigator:

We are studying how an online professional learning experience for K-12 computer science teachers can be adapted for use in the classroom. Our goal is to increase teachers' conceptual and creative fluency with the Scratch programming environment. In collaboration with several teachers, we further refined our online professional learning experience for summer 2020. We have also been collaboratively developing and studying educative curriculum materials that promote both teacher and student learning and development.

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Target Audience:

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

Principal Investigator:

Streams of Data is pursuing early stage research to address: How can the use of professionally collected, scientific data support the development of data literacy skills in elementary students, and what types of scaffolds are necessary to realize this potential? In the first year, baseline research examined the analytical thinking approaches children intuitively use when making meaning from different types of data with minimal scaffolding? We explored commonplace scenarios of data and conventional data representations.

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Target Audience:

High School Students' Climate Literacy Through Epistemology of Scientific Modeling (Collaborative Research: Chandler and Forbes)

Principal Investigator:

We share the conception, design, and some activities from a curriculum based on the use of a global climate model EzGCM in secondary geoscience classrooms. Implemented through the NSF-funded CLiMES (Climate Literacy through Modeling and Epistemology of Science) project, this curriculum facilitated in-depth understanding of climate literacy concepts through model-based reasoning.

Co-PI(s): Mark Chandler, Columbia University

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Target Audience:

Developing a Suite of Standards-based Instructionally Supportive Tools for Middle School Computer Science

Principal Investigator:

The ASSIST project will develop a set of educative resources, assessment tools and teacher professional development activities to support diverse teachers teaching a variety of computer science curricula using different programming languages. Teachers will develop knowledge of CS standards and learn to use formative assessments related to these standards to determine student understanding. Improved CS instruction that is responsive to the needs and challenges of the student population is critical to ensure more equitable participation in CS.

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Target Audience: