Personalized Medical Training via the Total Learning Architecture

June 6, 2017 8:00 AM – 9:15 AM

Amanda Bond, Soar Technology, Inc.
J.T. Folsom-Kovarik, Soar Technology, Inc.
Denise Nicholson, Soar Technology, Inc.

As in other domains, medical instruction takes on many forms, ranging from electronic slides and videos, to online courses, and  a bevy of part-task and high fidelity operational simulators .  These various courses and training products are made by diverse training activity providers, and yet the systems may or may not talk to each other, though the courses may build upon each other and complement each other.  The Advanced Distributed Learning (ADL) Initiative seeks to address interoperability and data sharing via the Total Learning Architecture (TLA), an open-source pedagogical software architecture that bridges the gap between various educational vendors.  The TLA creates a cohesive and personalized learning experience for a student by tracking their skills and competencies through various activity providers and delivering a holistic picture of their performance.  This panel presentation will discuss how medical training activity providers and medical institutions alike can capitalize on the TLA to elicit an improved training portfolio.  Three example training products will be discussed:  a virtual clinician incorporating speech recognition for neuropsychological task assessment, an augmented reality physical-virtual patient that uses a neutral form and multi-projector rendering and calibration to create a variety of different patients, and computer-based slides that include timing and click tracking integrated with the Army Research Lab’s (ARL’s) Generalized Intelligent Framework for Tutoring (GIFT). We will discuss these learning and assessment experiences within a use case of a student progressing through a sequence of training tailored to his or her personal needs and objectives enabled by the TLA.