Creating an Interactive Dashboard to Support Middle School Teachers’ Implementation of a Technology-Supported Problem-Based Learning Program

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Published: Jun 14, 2022
DOI: https://doi.org/10.14434/ijdl.v13i1.31243
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Design Cases
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Min Liu
University of Texas at Austin
Chenglu Li
University of Florida
Zilong Pan
University of Texas at Austin

Abstract

In this design case, we describe our experience of designing and creating a teacher’s dashboard as an accompanying tool to support sixth-grade teachers who implement a technology-supported problem-based learning program on sixth-grade space science in their classrooms. We describe in detail the background of this design case, our motivation to create this teacher’s dashboard, and our iterative design process over a period of five years. Our design process consists of three phases from the idea generation phase to both low- and high-fidelity versions of the prototyping phase to three iterations of the implementation phase. We present our rationales for making various design decisions over the process and our reflections on this design experience including the challenges we have encountered.

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How to Cite
Liu, M., Li, C., & Pan, Z. (2022). Creating an Interactive Dashboard to Support Middle School Teachers’ Implementation of a Technology-Supported Problem-Based Learning Program. International Journal of Designs for Learning, 13(1), 1–18. https://doi.org/10.14434/ijdl.v13i1.31243
Author Biographies

Min Liu, University of Texas at Austin

Min Liu is Professor of Learning Technologies at the University of Texas at Austin. Her research interests center on educational uses of new media and other emerging technologies and designing interactive learning environments for learners at all age levels. Her current R&D projects include studying the effectiveness of immersive rich media environments on learning and motivation; and learning analytics in online environments.

Chenglu Li, University of Florida

Chenglu Li is a doctoral student in educational technology at the University of Florida. His research interests are using learning analytics with Bayesian methods and big data to support online learning environments as well as game-based learning

Zilong Pan, University of Texas at Austin

Zilong Pan is a doctoral candidate in the Learning Technologies program at the University of Texas at Austin. His research focus includes learning analytics, problem-based learning in STEM, and educational data visualization. His goal is to discover how to empower educators and learners by incorporating educational technologies

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