CAE has been granted a patent for a system and method that utilizes a simulation station to train students. The system includes a rules engine, learning objects for interaction, and biometric data assessment for student knowledge, skill, and ability evaluation. The system offers breaks based on biometric data conditions. GlobalData’s report on CAE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on CAE, AI assisted CAD was a key innovation area identified from patents. CAE's grant share as of May 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.
Interactive simulation training system for students
A newly granted patent (Publication Number: US11948475B2) outlines a system designed for training students through computerized methods. The system includes a computer system connected to a training station, equipped with a rules engine and data storage containing learning object data and rule data. The rules engine triggers actions based on data conditions, such as presenting learning objects to interact with students. Additionally, the system incorporates an assessment module to evaluate the knowledge, skill, and ability (KSA) of students, utilizing biometric data from sensors to assess student engagement levels. The rules also include provisions for offering breaks based on biometric data indicating student fatigue, enhancing the personalized learning experience.
Furthermore, the system involves storing student state data, objective data for acceptable inputs, and remedial training options based on performance data. The training station can simulate various scenarios, such as vehicle operations, with interactive learning objects displayed on screens. The system's network connectivity allows for data exchange between the training station, computer system, and learning management systems, enabling adaptive training based on student responses and performance. Overall, the patented system aims to provide a dynamic and engaging training environment by leveraging biometric data, interactive learning objects, and real-time assessments to enhance student learning outcomes and engagement levels.
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