Perfecting the Interdisciplinary Storm: Immersive Narrative Development Workflows in Context of Meteorology Labs

Authors

  • Rachael Kaye Arizona State University, Tempe AZ 85281, USA
  • Austin Porter Arizona State University, Tempe AZ 85281, USA
  • Christine Moore Arizona State University, Tempe AZ 85281, USA
  • Neha Balamurugan Arizona State University, Tempe AZ 85281, USA
  • Hanieh Khaleghian Arizona State University, Tempe AZ 85281, USA
  • Robert LiKamWa Arizona State University, Tempe AZ 85281, USA

Keywords:

Immersion, Narrative, Learning Outcomes, Teaming

Abstract

Immersive narratives offer rich, growing opportunities in the field of education, but the interdisciplinary process of writing and developing effective storylines is largely undetailed in current literature. For instance, how can a team efficiently create an experience that will immerse meteorology students in a hurricane narrative and allow them to make decisions related to storm safety learning objectives? To help guide practitioners, we contribute a scalable theory-based workflow, incorporating lessons learned through the creation of our three-part Introduction to Meteorology hurricane lab. We identify the critical involvement of four primary roles: a content expert, an instructional designer, a narrative lead, and a development lead; and we outline a recommended framework for the convergence of all four roles and responsibilities. Our result is an evolution of the ADDIE and R2D2 frameworks, incorporating Bloom’s taxonomy for higher order learning. In this paper, we focus on the practical needs of our Assess, Design, and Reflect stages as they correspond to narrative development before technical assembly. We also share student feedback and demonstrate success in increasing self-efficacy in relation to learning objectives. Our hope is to inspire and support the creation of immersive narratives within other courses and universities.

Published

21-02-2025

How to Cite

Perfecting the Interdisciplinary Storm: Immersive Narrative Development Workflows in Context of Meteorology Labs. (2025). Immersive Learning Research - Academic, 1(1). https://publications.immersivelrn.org/index.php/academic/article/view/210

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