Dr. Goldberg will review his research program centered on next generation adaptive training management tools in support of the Army’s Synthetic Training Environment (STE). STE is a new program of record that will provide a set of core simulation-based training assets that support individual and collective training requirements across a broad spectrum of competencies and tasks. Dr. Goldberg and his team are directly researching and developing adaptive training tools and solutions that emphasize the use of data, artificial intelligence, and evidence-centered experiential learning design to optimize the effectiveness of an immersive training experience. To achieve this, four primary capability objectives were defined: (1) Automated assessment and contextualization on multi-modal data, (2) Intelligent coaching and feedback during and after a scenario, (3) Persistent performance tracking for competency and skill acquisition modeling, and (4) Decision support tools to assist in training progression and deliberate practice. Dr. Goldberg will review the background and necessity driving this research, along with an overview of projects and progress aligned to these objectives. This will be followed by an introduction to the open source technologies, data standards, and generalized approaches being utilized to drive study design and execution. This will highlight the extensibility of the tools and methods applied and how they can be aligned to new industries, competencies, and the tasks comprised within.
Dr. Benjamin Goldberg is a senior research scientist at the U.S. Army Combat Capability Development Command – Soldier Center and is co-creator of the Generalized Intelligent Framework for Tutoring (GIFT). Dr. Goldberg is the technical team lead for a research program focused on the development and evaluation of Training Management Tools for future Army training systems. His research is focused on the application of intelligent tutoring and artificial intelligence techniques to build adaptive training programs that improve performance and accelerate mastery and readiness overtime. Dr. Goldberg has researched adaptive instructional systems for the last 15 years and has been published across several high-impact journals and proceedings. He holds a Ph.D. in Modeling & Simulation from the University of Central Florida. Dr. Goldberg is also the current Chair for the Extended Reality Technical Group within the Human Factors Ergonomics Society (HFES).
Jim Goodell is editor and co-author of Learning Engineering Toolkit. He is Director of Innovation at Quality Information Partners, where he helps lead development of the US Department of Education sponsored Common Education Data Standards. He is Chair of the IEEE Learning Technology Standards Committee and serves on the ICICLE Steering Committee. He supports the US Chamber of Commerce Foundation’s T3 Innovation Network and co-led development of the Learning and Employment Record (LER) Wrapper Specification. He was previously Executive Vice President at the Center for Educational Leadership and Technology where he led the development of interactive learning technologies and provided information-driven process improvement solutions to state education agencies and school districts throughout the United States.
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