Getting Started with Instructional Design for VR

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Virtual reality (VR) is becoming an increasingly popular medium for delivering learning experiences in talent development and education. Because of this growing demand, many instructional design practitioners are looking to broaden their repertoire to include designing for VR. However, upskilling resources teaching learning design for VR are scarce. 

This 3-part workshop series will provide an in-depth exploration of instructional design principles and practices as they apply to virtual reality (VR) environments. Through a series of interactive sessions, participants will develop the skills and knowledge necessary to effectively design and evaluate learning experiences in VR.

In the first session, we will focus on the unique considerations involved in designing for VR and will use an ideation canvas to generate and evaluate design ideas. The second session will delve into the specifics of designing learning experiences in VR, including the creation of a design documentation and storyboard. In the final session, we will examine the importance of evaluating the effectiveness of VR learning solutions and will develop an evaluation plan to assess the impact of our designs.

Throughout the series, participants will have the opportunity to engage in hands-on activities and exercises, allowing them to apply their newfound knowledge and skills in a practical setting. Upon completion of this course, learners will have a solid foundation in instructional design for VR and will be prepared to create engaging and effective learning experiences in this exciting and rapidly evolving medium.

Workshop Instructor Bio:

Kristin Torrence serves as the Head of Learning Engineering at Talespin, where she focuses on applying learning sciences, instructional design, and data science practices to design, instrument, and validate XR learning solutions. Her background is in cognitive science, game-based learning, and instructional design and she is particularly interested in the intersection of learning science, XR, and learning analytics. She received a graduate degree in Cognitive Studies in Education with a concentration in Intelligent Technologies from the Teacher’s College of Columbia University. She co-founded XR in LXD, a meetup, and community of practice for IDs/LXDs interested in designing XR, and she is an active member of XR Women and the IEEE Industry Consortium on Learning Engineering (ICICLE).