Universal Design for Learning & Multi-Modal Training

PROJECT TITLE: Universal Design for Learning and Multi-Modal Training

Project completed December 2018

Collaborators:

PI: Dr. Ziho Kang, Asst. Professor of Industrial and Systems Engineering, University of Oklahoma
Co-PI: Dr. Lei Ding, Lloyd and Joyce Austin Presidential Professor of Biomedical Engineering, Electrical and Computer Engineering, and Neuroscience, University of Oklahoma
Co-PI: Dr. Randa Shehab, Nettie Vincent Boggs Professor and the Director of the School of Industrial Engineering, University of Oklahoma
Co-PI: Dr. Han Yuan, Assistant Professor, University of Oklahoma
SME: Prof. Stephen West, Director of the University of Oklahoma Department of Aviation’s Controller Training Initiative (AT-CTI), University of Oklahoma
Students: Rashmi Reddy Annadi, Mattlyn Dragoo, Uchenna Kelvin Egwu, Saptarshi Mandal, Ricardo Palma Fraga, Josiah Pippetoe Mel Rosa Plata, Lauren Yeagle
Industry Partners: Adacel, Air Traffic Simulation, Inc., KeyBridge Technologies
FAA Sponsor: Jason Demagalski, Technical Training (AJI-2)
FAA Technical Monitor: Katrin Helbing

RELEVANCE TO TECHNICAL TRAINING AND HUMAN PERFORMANCE

This project aims to benchmark, adapt, and introduce new approaches in UDL design-based learning and multi-modal training for air traffic controllers through classifying current pedagogical practices, benchmarking existing and new state-of-the-art learning technologies, recommending adapted and new learning pedagogies, and developing protocols for assessing student learning outcomes.

Expected Project Outcomes:

ATC training content analysis of curriculum and classroom observations.
Benchmark best practices for state-of-the-art multi-modal training.
Recommend new or modified ATC training approaches.
Develop assessment protocols of the learning outcomes of the recommended approaches.

VALUE OF RESEARCH:

The project will identify applicable approaches that will enable trainees to learn through multiple pathways instead of a single pathway. If the trainees can better learn based on their individual learning styles, cost and time savings could be realized by increasing the number of trainees who may successfully pass the training courses. The research was concentrated on ATC training that can be later expanded to other technical training. Upon completion, future work can be developing a software that accommodates the recommended approaches.