Randy Jensen
Papers
2
Total Citations
4
H-Index
2
About
Randy Jensen’s research lies at the intersection of intelligent tutoring systems, military training, and human-robot teaming. His work focuses on developing adaptive, embedded training solutions that optimize learning outcomes in high-stakes, information-rich environments—particularly for the U.S. Army’s Future Combat Systems. Jensen’s major contributions include pioneering methods for integrating intelligent tutoring into robotic vehicle command, enabling warfighters to maintain situational awareness and apply tactical decision-making while managing distributed sensors and autonomous vehicles. His 2003 paper on an Intelligent Tutoring System for FCS robotic vehicle command (2 citations) laid foundational concepts for how AI can scaffold real-time command skills. His 2009 work on optimizing learning outcomes with embedded training (2 citations) advanced the use of virtual and constructive simulation tools to create immersive, on-the-job training experiences. Though his citation counts are modest, Jensen’s research is notable for its practical, forward-looking application—directly addressing the cognitive demands of future warfare. His work remains relevant to researchers in adaptive training, human-autonomy interaction, and military simulation, offering early insights into how intelligent systems can transform soldier readiness.
Research Focus
Key Achievements
Top Papers
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- 2