
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | August 4, 2018 |
Latest Amendment Date: | November 15, 2018 |
Award Number: | 1838523 |
Award Instrument: | Standard Grant |
Program Manager: |
Allyson Kennedy
aykenned@nsf.gov (703)292-8905 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | October 1, 2018 |
End Date: | March 31, 2022 (Estimated) |
Total Intended Award Amount: | $299,881.00 |
Total Awarded Amount to Date: | $299,881.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
300 5TH AVE STE 2010 WALTHAM MA US 02451-8778 (617)618-2227 |
Sponsor Congressional District: |
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Primary Place of Performance: |
96 Morton Street, 7th Floor New York NY US 10014-3323 |
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): | Special Projects - CNS |
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): | 47.070 |
ABSTRACT
Education Development Center (EDC) and its partners at the Research Alliance for NYC (New York City) Schools and Dr. Maya Israel of the University of Illinois propose an eighteen-month EAGER grant for research and development in the area of computational thinking (CT) integration in elementary education. The primary purpose of the proposed work is for the research team to collaborate over 12 months with a group of 18 geographically dispersed school principals, teachers, evaluators, and subject-matter experts to iteratively refine an existing draft framework, self-diagnostic tool, and rubric for computational thinking integration across multiple school subjects. Subsequently, we will pilot test the revised tools over three months in six elementary schools in high-poverty areas in three states (New York, Illinois, and Florida) to investigate whether there is promising evidence that systematic use of these resources is associated with the successful integration of CT across elementary school curricula. These tools are meant to help high-poverty (and eventually all) schools clarify their definitions of CT and CT integration; to articulate their visions and plans for CT implementation; and to monitor the effectiveness of teacher professional development in CT instruction.
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.
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.
Building Computational Thinking (CT) Readiness: An EAGER Proposal to Refine and Study a Framework for Integrating CT Across Subjects in High-Poverty Elementary Schools
CT refers to the concepts, practices, and perspectives for problem solving that are derived from computer science (CS). However, the learning and application of CT is not limited to CS. There is increasing recognition that foundational CT competencies such as abstraction, decomposition, pattern recognition, and testing and debugging play a role across the disciplines, and that these competencies can be learned outside of the context of CS. To facilitate the integration of CT across grades and subject areas at the elementary school level, this project developed a CT Integration Framework and self-assessment tool. The framework and self-assessment tool were designed to help guide educators in planning for their CT integration efforts, providing them with a means to evaluate their readiness for CT integration and to monitor successful implementation. To develop the CT Integration Framework and self-assessment tool, the Center for Children and Technology of the Education Development Center and the Research Alliance worked using an iterative and collaborative process with school administrators and staff, computer science (CS) and CT professional development providers, and experts in CS education to define key determinants for schoolwide CT integration for all students. The CT Integration Framework that resulted from this process postulates six focus areas: (1) Teacher Knowledge and Pedagogical Knowledge; (2) Teacher Supports; (3) Curriculum Features and Lesson/Unit Planning; (4) Computational Thinking Assessment; (5) Student Outcomes; and (6) Families and the School Community. Each focus area is further defined by specific elements (indicators) that have been found to influence effective CT integration efforts and to focus on the larger ecosystem within the school, reaching all teachers in all grades and content areas, and thereby increasing access to CT for all students, including those who may not opt to participate in CS courses or afterschool opportunities. The companion self-assessment tool specifies indicators for each element within a focus area, examples of what the indicator might look like when implemented, reflection questions to guide educators in assessing their school's priorities, strengths, and challenges, and a four-point rubric (ranging from not a priority to achieving) for users to indicate the extent to which they meet each indicator.
The project team conducted a small pilot study in collaboration with New York City and Chicago Public Schools to explore educators? use of the framework and self-assessment tool. The CT Integration Framework proved to be a useful tool for the researchers and practitioners who participated in the project. Teams of educators from participating schools found the self-assessment tool to be successful in helping to guide their school-wide CT integration planning and implementation efforts. Using the CT Integration Framework, in particular the Teacher Supports focus area, at the start of the partnership with school leadership resulted in documenting and clearly defining the leadership vision of CT. It also helped to ensure that a progression toward CT supports, particularly scheduling time for professional development and teacher collaborative planning time, could be established to progress toward the school's vision for CT integration. The pilot also helped the project team to understand the different elements each school prioritized as their initial areas of focus, and how each school expanded their efforts over time. When triangulated with additional survey and interview data, the information collected by using the CT Integration self-assessment tool provided the project team with a structure for learning about the approaches each school took toward school-wide integration and for understanding the similarities and differences that emerged among the schools.
Project staff have participated in several outreach efforts to share information about our products and research findings. The team presented the CT Integration Framework at NSF's CSforALL PI Summit in 2019 and at the 14th International Congress on Mathematical Education in July 2021. Co-PI Sherwood authored a blogpost published by EDC and shared information about this project during the podcast Education Excellence. The project team also produced a video for NSF's STEM for ALL video showcase in 2021. In addition, Digital Promise's newly published report on CT for an Inclusive World features a description of the CT Integration Framework, and Co-PI Sherwood and Co-PI Fancsali both participated as panelists for Digital Promise's Developing Capacity for CT webinar in January 2022. The CT Integration Framework and self-assessment tool are freely available through EDC's website at https://ctframework.edc.org.
Last Modified: 06/10/2022
Modified by: Heather Sherwood
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