Title

Dynamic and Adaptive Training for Enhanced Aviation Knowledge Transfer and Retention

Presenter Email

jason.kring@forthillgroup.com

Location

Mori Hosseini Student Union Events Center (Bldg #610) – Rooms 165 E/F

Start Date

3-4-2020 9:00 AM

End Date

3-4-2020 10:30 AM

Submission Type

Presentation

Topic Area

Advanced flight training; New technologies for ab initio flight training; Transition to changing technologies

Keywords

Training, adaptive

Abstract

The world of aviation is rapidly evolving through increased automation on the flight deck, new air traffic control tools and procedures, and expanded applications of Unmanned Aircraft Systems (UAS). These enhancements may increase training requirements on operational personnel and potentially introduce the opportunity for the degradation of knowledge, skills, and abilities (KSAs) that are not routinely applied. The resources required for simulator-based training results in using computer-based training (CBT) for many infrequently used KSAs. Field studies and academic literature consistently show that users find this training boring, easily forgettable, and are perceived as “check the box” training. Furthermore, most CBT is standardized and does not adjust to the trainee’s learning preferences or existing familiarity with the content.

In this presentation, we describe a new approach to training delivery. Our Dynamic Adaptive Training & Evaluation System (DATES) approach is designed to increase engagement, long-term retention, and decrease training time by adjusting to trainees’ learning preferences and proficiency levels. DATES presents training material in different formats and orders based on trainee performance on embedded assessments and real-time analysis of user engagement. The system starts by administering a pre-test on the topic and then presents a random order of short, individual modules in visual (video-based), verbal (text-based), or scenario-based formats. Based on response time on embedded assessments, question response accuracy, and proprietary user-engagement metrics, the system’s algorithm will present tailored training styles and modalities to maximize impact for individual trainees. We will discuss the key considerations and implementation recommendations.

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Mar 4th, 9:00 AM Mar 4th, 10:30 AM

Dynamic and Adaptive Training for Enhanced Aviation Knowledge Transfer and Retention

Mori Hosseini Student Union Events Center (Bldg #610) – Rooms 165 E/F

The world of aviation is rapidly evolving through increased automation on the flight deck, new air traffic control tools and procedures, and expanded applications of Unmanned Aircraft Systems (UAS). These enhancements may increase training requirements on operational personnel and potentially introduce the opportunity for the degradation of knowledge, skills, and abilities (KSAs) that are not routinely applied. The resources required for simulator-based training results in using computer-based training (CBT) for many infrequently used KSAs. Field studies and academic literature consistently show that users find this training boring, easily forgettable, and are perceived as “check the box” training. Furthermore, most CBT is standardized and does not adjust to the trainee’s learning preferences or existing familiarity with the content.

In this presentation, we describe a new approach to training delivery. Our Dynamic Adaptive Training & Evaluation System (DATES) approach is designed to increase engagement, long-term retention, and decrease training time by adjusting to trainees’ learning preferences and proficiency levels. DATES presents training material in different formats and orders based on trainee performance on embedded assessments and real-time analysis of user engagement. The system starts by administering a pre-test on the topic and then presents a random order of short, individual modules in visual (video-based), verbal (text-based), or scenario-based formats. Based on response time on embedded assessments, question response accuracy, and proprietary user-engagement metrics, the system’s algorithm will present tailored training styles and modalities to maximize impact for individual trainees. We will discuss the key considerations and implementation recommendations.