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Educational Innovations and Emerging Technologies
Frequency: Quarterly Published by lIKll

Open Access Perspective
 EIET 2023/09
Vol.3, Iss.3 : 1-7

Toward a Framework for Robust Design-Based Research

M. Shane Tutwiler1*, Denise M. Bressler 2, Joseph Reilly 3, Eileen McGivney 4, Tina A. Grotzer 5 and Chris Dede5

1College of Education, University of Rhode Island, Kingston, RI, 02881, USA
2College of Education, East Carolina University, Greenville, NC, 27858, USA
3College of Professional Studies, Northeastern University, Boston, MA, 02115, USA
4College of Art, Media & Design, Northeastern University, Boston, MA, 02115, USA
5Graduate School of Education, Harvard University, Cambridge, MA, 02138, USA

Design-based research (DBR) is a popular approach for studying and maximizing the effectiveness of learning environments in the Learning Sciences. This approach has historically been approached from a mixed-methodological perspective. In this article, we argue that, with an ever-increasing focus on using the results of DBR to inform policy and practice, the design of DBR studies must be made more robust by addressing issues inherent to the quantitative methodologies employed to track gains in learning. We propose four key design principles (Measurement Matters, Learning is Longitudinal, Use Samples Smartly, and Invest in Fidelity), as well as an analytic framework within which to apply them. A brief case study is used to demonstrate some of these elements in practice.

Keywords:  Design-based Research, DBR, Educational technology

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Received:April 24, 2023; Revised:August 31, 2023; Accepted:September 10, 2023; Published:September 30, 2023
*Corresponding author; e-mail:

Citation:Shane, M., & M., D., & Reilly, J., & McGivney, E., & A., T., & Dede, C.(2023). Toward a Framework for Robust Design-Based Research. Educational Innovations and Emerging Technologies, 3(3), 1-7.

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Copyright: © 2023  The Author(s). Published with license by IIKII, Singapore. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.