
NSF Org: |
DRL Division of Research on Learning in Formal and Informal Settings (DRL) |
Recipient: |
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Initial Amendment Date: | June 16, 2020 |
Latest Amendment Date: | June 16, 2020 |
Award Number: | 2033922 |
Award Instrument: | Standard Grant |
Program Manager: |
Gavin Fulmer
DRL Division of Research on Learning in Formal and Informal Settings (DRL) EDU Directorate for STEM Education |
Start Date: | July 1, 2020 |
End Date: | June 30, 2021 (Estimated) |
Total Intended Award Amount: | $198,674.00 |
Total Awarded Amount to Date: | $198,674.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
25 LOVE LN CONCORD MA US 01742-2345 (978)405-3205 |
Sponsor Congressional District: |
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Primary Place of Performance: |
MA US 01742-2345 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | ITEST-Inov Tech Exp Stu & Teac |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.076 |
ABSTRACT
Across the nation, teachers have shifted to delivering instruction remotely due to COVID-19. This transition to remote instruction has presented challenges for secondary science teachers who previously engaged their students in hands-on learning through empirical tests and observations of real-world phenomena, but whose students might not now have the equipment or materials in their homes to enable hands-on investigations. In this project, Concord Consortium will develop and test a remote professional development program that is designed to support secondary science teachers in making the transition from face-to-face to remote instruction, while still providing their students with engaging opportunities to learn from empirical data. Through this professional development program, science teachers will gain practice in using an open-source tool that teaches data-based modeling in the context of complex systems. For example, this tool will enable students to use data related to the pandemic to develop models that can predict relevant outcomes. As students develop skills related to modeling, they will be better prepared for the STEM (science, technology, engineering, and mathematics) workforce of the future, which increasingly requires the ability to interpret and use large-scale data. Research will identify the features of professional development that support teachers in providing remote instruction that is aligned with the Next Generation Science Standards (NGSS) related to modeling and systems thinking.
Concord Consortium will provide remote professional development to ten secondary science teachers on modeling using complex systems via open-source software. They will collect surveys, interviews, and teacher-generated curricular materials to ascertain how the teachers develop pedagogical strategies for remote instruction, which are designed to support the development of their students' modeling skills and practices. Additionally, they will collect data from student work, including log files from the software, to determine how the students demonstrate modeling practices and knowledge of systems in the context of this remote instruction. The results from inductive descriptive analyses of these data will be submitted to empirical journals. Other dissemination materials will outline the design principles that support teachers in modifying NGSS-aligned curricular materials for remote delivery. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The ability to apply systems thinking and computational thinking when developing models to explain complex phenomena?from the coronavirus pandemic to the computational infrastructure of our interconnected world to climate change?is critical.
Since the release of A Framework for K-12 Science Education and the Next Generation Science Standards (NGSS), pedagogical approaches and materials have been developed to help students learn science through the integration of three dimensions of scientific knowledge: disciplinary core ideas (DCIs), science and engineering practices (SEPs), and crosscutting concepts (CCCs). Although this 3D approach to supporting learners in making sense of phenomena or solving problems is challenging, many teachers have engaged learners in more student-centered experimentation, collaborative use of modeling tools, and project-based learning.
The sudden move to remote learning due to the COVID-19 pandemic threatened these advances. Teachers no longer had access to a physical lab space to engage students in exploration of phenomena. Many educational tools were not designed to facilitate peer interactions in a remote learning context or to engage students in making sense of phenomena using 3D learning. With school closures and uncertainty about how long or how often such disruptions will occur, the RAPID: Making the Transition to Remote Science Teaching and Learning project researched how to best support teachers in continuing to offer high-quality 3D science teaching that aligns to the vision of the Framework in virtual or hybrid contexts.
Through prior NSF-supported work, the Concord Consortium and the CREATE for STEM Institute at Michigan State University developed the web-based SageModeler systems modeling tool for students to instantiate their conceptual understandings of phenomena through the creation of computational models and to validate their models through comparison with real-world data, all without traditional coding or the need to write complex equations. This has made the use of modeling for explaining a great diversity of phenomena much more accessible to a wide range of students.
The project offered professional learning (PL) opportunities, including virtual workshops, ongoing Professional Learning Community (PLC) meetings, a dedicated threaded discussion venue, and individual project liaison meetings for teachers in Michigan and New York City from various grade bands (upper elementary, middle, and high schools) and various science areas.
The project developed a set of design principles reflective of both the structure and the content of the program for effective remote professional learning around three-dimensional pedagogy using SageModeler in remote learning contexts. The first six principles focus on the structure of the PL program and include: (1) Collaborative activities among researchers and teachers; (2) Individualized supports; (3) Explicit modeling of pedagogical strategies; (4) Sustained professional learning over time; (5) Active construction of tangible products (models, instructional materials); and (6) Scaffolding with learning technologies.
The content focus of the PL was on 3D learning and project-based learning (PBL) using SageModeler. PBL allows teachers and students to learn by doing, apply ideas, figure out how phenomena occur, and solve challenging, real-world problems. The project took the approach that teachers are themselves active learners and should employ the same 3D SEPs as their students, especially as they learn new technologies and learning activities to bring to their classrooms. Thus, there is overlap in the PL principles, in particular with both (5) and (6). In addition, two additional design principles focus on the content of the PL program: (7) NGSS three-dimensional learning: integrating DCIs, computational thinking practice, and system modeling and (8) Use of relevant, discipline-specific phenomena.
Overall findings supported that the teachers adopted and adapted the PL design principles to develop pedagogical strategies for their students? 3D learning. The design principles as enacted in classrooms help to build capacity for teachers to prepare students for the STEM workforce of the future who can engage in modeling using computational thinking and systems thinking.
For further information, free software, and curricula, see: https://sagemodeler.concord.org/
Last Modified: 10/22/2021
Modified by: Daniel Damelin
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