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The Advanced Distributed Learning Initiative

Amanda Bond iFest Presentation

Data Visualization in a Total Learning Architecture

Amanda Bond

The Total Learning Architecture (TLA) offers unique challenges and opportunities because many different providers may contribute TLA-enabled training systems that build a larger learner experience. While diverse training systems can challenge instructors to understand learner status across systems, the data shared through TLA provides new and valuable insights. Learning analytics based on TLA data sharing can give instructors quick overviews of group status and drill down to individual learners’ progress.

TLA enables sharing data between many providers: traditional training courseware, exam scores, informal learning engagement, and job task performance. The assembled data can help identify classroom strengths and weaknesses on multi-dimensional skills, how long learners interact with components, which content gets more or less usage, and task performance that gives information about skill decay. So, TLA information represents a valuable resource to instructors or facilitators who need to make real-time instructional decisions to support their group of learners and target help for individuals.

A known challenge in data analytics is making data meaningful to the intended recipients – in this case, the instructors or facilitators. To this end, this talk demonstrates visualizations and methods by which TLA data analytics can help instructors understand and address the needs of their learners. Examples include identifying topics for targeted remediation and knowing when learners are too bored or frustrated for effective learning. As a result, this talk will demonstrate the value of TLA data analytics and visualization to create actionable information, inspiring both increased data sharing and increased data utility to support effective learning.


Ms. Amanda (Hafich) Bond is a Research Scientist and Principal Investigator at SoarTech, leading and contributing to various technical efforts leveraging her background in Human Factors Engineering. With 15 years of experience in government research and commercial programs, previously Ms. Bond led the technical learning sciences design of high-fidelity game-based training for a major commercial airline. Ms. Bond was also the lead Human Factors Engineer for the Tactical Ground Reporting (TIGR) system used heavily by the US Army. Other prior work includes Training Strategies Analyses for NASMP platforms, and leading a program developing a mixed-reality training suite for a commercial mixed reality hardware provider. Ms. Bond has her M.S. in Modeling and Simulation (Human Performance) from the University of Central Florida, B.S. in Psychology (Experimental) from Florida State University, and is in progress (ABD) for her Ph.D. In Modeling and Simulation (Human Performance) at the University of Central Florida.


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