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Toward the Development of an Intelligent Tutoring System for Distributed Team Training through Passive Sensing

机译:通过被动感应发展分布式团队培训智能辅导系统的发展

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The development of intelligent tutoring systems (ITS) capable of supporting training experiences for geographically-distributed team members in shared virtual simulation environment presents considerable challenges. Even human tutors face challenges in developing team cohesion, coordinating roles and assessing contributions. Just as a human tutor might assess collective performance, a team ITS must be capable of passively assessing the trainees' readiness to learn and evaluating their progress toward team objectives. Passive sensing methods offer the opportunity for the ITS to understand the team's cognitive and emotional state without interfering with the learning process. It also helps determine their any interventions needed to optimize performance. This article reviews challenges and hypothesizes functions for computer-based distributed team tutors.
机译:能够在共享虚拟仿真环境中支持地理分布式团队成员的培训经验的智能辅导系统(其)的发展具有相当大的挑战。即使是人类辅导员也面临挑战,在发展团队凝聚力,协调角色和评估贡献方面面临挑战。正如人类导师可能会评估集体绩效,它必须能够被动地评估学员愿意学习和评估他们对团队目标的进展。被动感应方法为其了解球队的认知和情绪状态而不干扰学习过程的机会。它还有助于确定他们所需的任何干预措施来优化性能。本文审查了基于计算机的分布式团队导师的挑战和假设功能。

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