UDL Lesson Plans
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Compose and Code
NSF Award #2122807
A Partnership to Implement the Inclusive Computer Science Model of Professional Development and Compose and Code Platform for PK-6 Computer Science teaching for Students with Disabilities
OBJECTIVE
Researchers will implement the Inclusive Computer Science (ICS) model of professional development (PD) and Compose and Code, also known as CoCo, (a UDL-based digital learning platform) to provide PK-6 computer science instruction for students with and without high-incidence disabilities.
MODEL
The project will use the NSF-funded Inclusive Computer Science (ICS) model of professional development (PD), alongside the partnering school division’s current approaches to curriculum development, to reform and scale how they prepare teachers to develop and implement computer science curricula, particularly for students with high-incidence disabilities. As part of the Inclusive Computer Science (ICS) model of professional development (PD), teachers will be introduced to new approaches for supporting students with disabilities in learning computer science, including the researchers’ newly developed, universally-designed tool called CoCo, which stands for Compose and Code.
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OVERARCHING QUESTION
​​ What conditions are necessary for the Inclusive Computer Science (ICS) model of professional development (PD) to be effectively implemented on a district-wide scale to increase and sustain computer science instruction and interest for all students, particularly those with high-incidence disabilities in PK-6 inclusive classrooms?
PROJECT PROGRESS
For this project, we have:
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developed a set of pre-recorded video-based lessons plans to provide computer science instruction for students with and without high-incidence disabilities in grades PK-6
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developed lessons plans and slide decks for teachers to use on their own
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developed assessments to determine teachers' readiness for implementing computer science instruction
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developed an assessment for understanding students engagement in coding and writing
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CONFERENCE PRESENTATIONS
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Hutchison, A., Si, Q., Kaya, E., Colwell, J., Gutierrez, K., Evmenova, A. & Regan, K. (2024). Evaluating the effectiveness of the Compose and Code model for improving students’ computational thinking and computing attitudes. Paper presented at the annual conference of the American Educational Research Association, Philadelphia, PA
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Hutchison, A., Parsons, S., Ives, S., Ward-Parsons, A. (2024). Engagement in coding as a form of writing. Paper presented at the annual European Conference on Literacy, Crete, Greece
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Hutchison, A., Colwell, J., Si, Q., Regan, K., Guttieriz, K., Kaya, E. (2023). Combatting the flashy but fuzzy effect in multimodal writing with the Compose and Code platform. Paper presented at the annual conference of the Literacy Research Association, Atlanta, GA
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Si, Q., & Hutchison, A. (2023). Elementary students’ self-efficacy on digital coding literacy in classroom practices: A survey study. Paper presented at the annual conference of the Literacy Research Association, Atlanta, GA
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Manchester, E., Miller, B., Hutchison, A., Kaya, E., Regan, S., Guttierez, K., Evmenova, A., Colwell, J., & Offutt, J. (2023). Exploring teachers experiences with the compose and code platform for teaching computer science to all learners. Paper presented at the annual conference of the American Education Research Association, Chicago, IL
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Hutchison, A. (2023). Using the compose and code digital platform to provide leveled support for students with disabilities as they learn coding and computational thinking. Paper presented at the Hawaii International Conference on Education, Honolulu, HI
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Hutchison, A., Kaya, E., Regan, K., Miller, B., Manchester, E., Gu, D. (2022). Using the Compose and Code platform to provide leveled support for students with disabilities as they learn coding and computational thinking. Roundtable session presented at the annual conference of the Society for Instructional Technology in Teacher Education, San Diego, CA
MEET THE TEAM
Amy Hutchison
The University of Alabama
Principal Investigator
Anna Evmenova
George Mason University
Co-Principal Investigator
Jeff Offutt
George Mason University
Co-Principal Investigator
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Kristie Gutierrez
Old Dominion University
Co-Principal Investigator
Jamie Colwell
Old Dominion University
Co-Principal Investigator
Kelley Regan
George Mason University
Co-Principal Investigator
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