Computational Methods for Personalized and Adaptive Cognitive Training

描述(由申请人提供)： 在以前的工作中，我们已经开发、部署和评估了一个用于病理诊断和报告的新型智能医学培训系统。SlideTutor是一个个性化的、自适应的模拟环境，提供针对每个学生的具体需求的解释和帮助。我们的结果表明，该系统在诊断和报告准确性方面有了显著的提高。平均而言，学生的成绩提高了400%，并随着时间的推移保留了这些技能。我们系统的一个独特之处在于，它对学生的技能、知识和误解进行动态建模，以便它能够适应其干预措施。在这个过程中，SlideTutor系统捕获了大量关于医生推理中间步骤的信息。我们已经开发了一个精心设计的研究基础设施，使我们能够利用这些丰富的信息作为研究数据。有了这个新颖的研究基础设施，我们准备就如何创建适应性和个性化的医生培训系统发表更一般的声明。我们现在建议利用SlideTutor基础设施来专注于三个以前在医学领域几乎没有研究的基础领域：元认知、性能预测和学习行为。这些领域的工作除了指导未来医疗培训系统的发展外，还有可能深刻影响患者安全、医学模拟和基于能力的评估领域。

DESCRIPTION (provided by applicant): In previous work, we have developed, deployed and evaluated a novel intelligent medical training system for pathologic diagnosis and reporting. SlideTutor is an individualized, adaptive, simulation environment that provides explanations and assistance specific to each student's needs. Our results show that the system produces dramatic improvements in diagnostic and reporting accuracy. On average, students achieve a 400% gain in performance, and retain these skills over time. A unique aspect of our system is that it dynamically models student skills, knowledge and misconceptions, so that it can adapt its interventions. In the process, the SlideTutor system captures an enormous amount of information about the intermediate steps in the physician reasoning. We have developed an elaborate research infrastructure that allows us to make use of this abundant information as research data. With this novel research infrastructure, we are poised to make far more general statements about how to create adaptive and individualized systems for training physicians. We now propose to leverage the SlideTutor infrastructure to focus on three foundational areas where there is nearly no previous research in medical domains: metacognition, performance prediction, and learning behaviors. Work in these areas has the potential to deeply impact the fields of patient safety, medical simulation and competency- based assessment, in addition to guiding the development of future medical training systems.