Keywords: ASSESSMENT;AUGMENTED AND VIRTUAL REALITY (AR/VR);COMPETENCY BASED TRAINING;PEDAGOGICAL DESIGN

Learning Objective 1: Participants will identify the principles of effective assessment design principles for XR training simulations from a learning engineering perspective. .

Learning Objective 2: Participants will appraise various metrics and data collection methods in XR to infer learner progression from novice to expert. military contexts.

Learning Objective 3: Participants will examine how to develop assessments that provide actionable feedback to learners, instructors, and training developers, including tailoring learning experiences and optimizing training curricula to expedite novice to expert proficiency.

Abstract:

This 90-minute tutorial offers a comprehensive guide tailored for professionals seeking to adeptly design assessments within extended reality (XR) training simulations to bring the novice to an expert.

As XR technologies continue to revolutionize training methodologies, the ability to accurately measure and track novice learners' progression towards expert proficiency is paramount. This tutorial addresses this crucial need by providing attendees with practical strategies and insights to develop assessments that effectively capture evidence of skill acquisition and competence development in XR environments.

The tutorial will begin with the fundamental principles of assessment science and the practice of designing assessments within XR contexts. Participants will gain a deep understanding of the unique considerations inherent to XR simulations, including fidelity, authenticity, and adaptability. Leveraging a learning engineering approach to developing XR simulations, there will be an emphasis on the significance of aligning assessment strategies with specific learning objectives and competency requirements.

There will be a review of the importance of designing assessments for interaction data that can be used for data analyses, which in turn can provide nuanced insights into learners' knowledge, skill, and competency development trajectories. Emphasis will be placed on leveraging XR-specific features to gather rich, multi-dimensional data that accurately reflects learners' proficiency levels.

By the conclusion of this tutorial, attendees will be equipped with the requisite knowledge to design assessments that effectively measure novice-to-expert progression within XR training simulations. Participants will be empowered to optimize their training programs, enhance learning outcomes, and ultimately elevate performance standards in critical domains.

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Dr. Madeleine Keehner