Bootstrap's Research Base

Bootstrap builds research-based curricula and pedagogy that support meaningful, engaging, and effective learning experiences for all students. Below are links to papers that comprise Bootstrap’s research base.
The papers below are listed in reverse-chronological order. While older papers are sometimes superseded by newer ones, we have listed them here to show how our thinking has evolved.

Curriculum Design

These papers describe the constraints and resulting designs for several different Bootstrap curricula.
Expanding Models for Physics Teaching: A Framework for the Integration of Computational Modeling
Education Sciences, 2024
Teaching computation in science courses can enhance science education, but doing so requires that teachers expand the vision of their discipline beyond the traditional view of science presented in most curricula. This article describes a design-based research (DBR) program that included collaboration among high school teachers and professional development leaders in physics and computer science education.
Integrated Data Science for Secondary Schools: Design and Assessment of a Curriculum
ACM Technical Symposium on Computer Science Education (SIGCSE), 2022
We propose that secondary-school data-science curricula should be based on four key ingredients: two are technical (programming and statistics, with visualization sitting at their intersection), while two are human-facing (meaningful domains, and civic responsibility). We describe their relationship and argue for their importance.
Evolving a K-12 Curriculum for Integrating Computer Science into Mathematics
ACM Technical Symposium on Computer Science Education, 2021
We discuss the initial design and the various modifications we have made over the years to better support math instruction, leading to our goal of using integrated curricula to cover standards in both math and CS.
Data Science as a Route to AI for Middle- and High-School Students
AAAI 2019 Fall Symposium: Teaching AI in K-12, 2019
This paper briefly describes [Bootstrap:Data Science]’s design, content, and outcomes, and explains its value on the road to AI curricula.
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Evaluation and Assessment

These papers examine the effectiveness of various Bootstrap curricula, and report on the lessons we have learned.
Expanding Models for Physics Teaching: A Framework for the Integration of Computational Modeling
Education Sciences, 2024
Teaching computation in science courses can enhance science education, but doing so requires that teachers expand the vision of their discipline beyond the traditional view of science presented in most curricula. This article describes a design-based research (DBR) program that included collaboration among high school teachers and professional development leaders in physics and computer science education.
Integrated Data Science for Secondary Schools: Design and Assessment of a Curriculum
ACM Technical Symposium on Computer Science Education (SIGCSE), 2022
We propose that secondary-school data-science curricula should be based on four key ingredients: two are technical (programming and statistics, with visualization sitting at their intersection), while two are human-facing (meaningful domains, and civic responsibility). We describe their relationship and argue for their importance.
Evolving a K-12 Curriculum for Integrating Computer Science into Mathematics
ACM Technical Symposium on Computer Science Education, 2021
We discuss the initial design and the various modifications we have made over the years to better support math instruction, leading to our goal of using integrated curricula to cover standards in both math and CS.
Assessing Bootstrap:Algebra Students on Scaffolded and Unscaffolded Word Problems
ACM Technical Symposium on Computer Science Education (SIGCSE), 2018
This paper reports on a more detailed study with (a) data from more than 3x as many students, (b) analysis of performance changes in incorrect answers, (c) problems in which the Bootstrap scaffolds have been removed, and (d) an IRT analysis… Our results confirm that students improve on algebraic word problems after completing the module, even on unscaffolded problems.
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Technology Base

These papers describe some of the advanced technologies that we create and use to build the various software components that support Bootstrap.
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