The Learning Technology Standards Committee (LTSC) and IEEE Project 2247 conducted four special events at IITSEC (iitsec.org), the world’s largest modeling, simulation and training event:

  • Conceptual Modeling of Adaptive Instructional Systems (IEEE Project 2247.1) TUESDAY, 3 DECEMBER • 1400 – 1530 • ROOM S329 • COI1
  • Adaptive Instructional System Interoperability Standards (IEEE Project 2247.2) WEDNESDAY, 4 DECEMBER • 0830 – 1000 • ROOM S329 • COI3
  • Best Practices for the Evaluation of Adaptive Instructional Systems (IEEE Project 2247.3) WEDNESDAY, 4 DECEMBER • 1600 – 1730 • ROOM S329 • COI5
  • Learning Engineering: A New Academic Discipline and Engineering Profession WEDNESDAY, 4 DECEMBER • 1030 – 1200 • ROOM S329 • COI4

The following narrative has descriptions of the events, pictures, and links to point papers and presentations:

Conceptual Modeling of AISs (IEEE Project 2247.1)

This event is intended to expose the I/ITSEC community to IEEE learning technology activities in the area of conceptual modeling of Adaptive Instructional Systems (AISs), which are artificially-intelligent, computer-based systems that guide learning experiences by tailoring instruction and recommendations based on the goals, needs, and preferences of each individual learner or team in the context of domain learning objectives. AISs include learning technologies that include intelligent tutoring systems (ITSs), intelligent mentors (recommender engines), and intelligent instructional media. Members of the IEEE Project 2247.1 standards activities are reviewing existing and emerging learning technologies to classify the components, features, and processes of AISs.

In other words, what makes an AIS an AIS?

This panel will discuss AIS ontologies and terms of reference. Panelists will advocate for schemes to model AISs at various levels of detail and will discuss AISs as self-improving instructional technologies that can tailor learning and development experiences to meet the goal, needs, and preferences of each individual learner or group of learners. Panel members represent Industry and Academic Research perspectives on AISs and draw on decades of work designing, building and evaluating a wide range of AISs for training and education applications. Potential AIS consumers will learn about the potential of current AISs and expectations for future capabilities to make AISs an effective and affordable solution for training and educational domains. AIS developers will gain perspective on the range of AIS capabilities and design issues that will enable customers to exploit the power of AISs.

Robert Sottilare, Ph.D.
Xiangen Hu, Ph.D.
Randolph Jones, Ph.D.
Andrew Hampton, Ph.D.
Director of Learning Sciences
Soar Technology

Working Group Chair
IEEE Project 2247
Professor of Psychology
University of Memphis

Dean
School of Psychology
China Central Normal University
Senior Artificial Intelligence Engineer
Soar Technology
Assistant Professor
Institute for Intelligent Systems
University of Memphis

Secretary
IEEE Project 2247
Panel ModeratorHu_Point PaperJones_Point PaperHampton_Point Paper
Sottilare PresentationHu PresentationJones PresentationHampton Presentation

Adaptive Instructional System Interoperability Standards (IEEE Project 2247.2)

This event will to expose the I/ITSEC community to IEEE learning technology activities in the area of interoperability and reuse of Adaptive Instructional Systems (AISs) and AIS components. AISs are artificially-intelligent, computer-based systems that guide learning experiences by tailoring instruction and recommendations based on the goals, needs, and preferences of each individual learner or team in the context of domain learning objectives. AISs include learning technologies that include intelligent tutoring systems (ITSs), intelligent mentors (recommender engines), and intelligent instructional media. This event provides an intersection of a large professional society (IEEE) and activities related to I/ITSEC professional disciplines. This session will provide insight to both the I/ITSEC and IEEE audience.

Keith Brawner, Ph.D.
Wink Bennett, Ph.D.
Richard Tong
Senior Engineer
Army Combat Capabilities Development Command Soldier Center
Readiness Science and Technology Product Line Leader
U.S. Air Force Research Laboratory
Chief Architect and General Manager
U.S. Operations Squirrel AI Learning by Yixue Group

Chair-Elect
Learning Technology Standards Committee
Panel ModeratorBennett Point PaperTong Point Paper
Tong Presentation

Best Practices for the Evaluation of Adaptive Instructional Systems (IEEE Project 2247.3)

This event is intended to expose the I/ITSEC community to IEEE learning technology activities in the area of recommended practices for the evaluation of Adaptive Instructional Systems (AISs) which are artificially-intelligent, computer-based systems that guide learning experiences by tailoring instruction and recommendations based on the goals, needs, and preferences of each individual learner or team in the context of domain learning objectives. AISs include learning technologies that include intelligent tutoring systems (ITSs), intelligent mentors (recommender engines), and intelligent instructional media. As AISs proliferate and interest in such systems grows, there is notable variation in providers’ claims about the features of their AISs. Potential consumers now have to sort out answers to question such as: What is an AIS? What makes AISs good, or better than other learning support mechanisms? What makes one AIS better (or more appropriate to some application) than another AIS? How does a consumer find or generate answers to questions like these? This panel will discuss guidelines and standards for conveying to
consumers useful information about the value of AIS products. That includes characterizing system features and the benefits they provide. It also includes characterizing overall system effectiveness— in some range of application contexts—at providing tangible measurable value. Such value might be in terms of improved learning outcomes, cost efficiencies, or other desirable
attributes. Panelists will advocate for schemes to conceptualize, collect, present, and interpret information on AIS capabilities and performance.

Panel members represent Government, Industry, and Educational Research perspectives on these questions, drawing on decades of work commissioning, designing, building and evaluating a wide
range of AISs for education and training applications. Potential AIS consumers will learn more about what to expect from an AIS, and how to tell whether any particular offering is likely to provide the kinds of benefits required for their application. AIS developers will gain perspective on the range of issues that matter in real applications, and how to informatively position their offering in the evolving marketplace.

Eric A. Domeshek, Ph.D.
Sowmya Ramachandran, Ph.D.Natalie B. SteinhauserLouise Yarnall, Ph.D.
AI Project Manager
Stottler Henke Associates, Inc.

Working Group Vice Chair
IEEE Project 2247
Principal Research Engineer
Stottler Henke Associates, Inc.
Senior Research Psychologist
Naval Air Warfare Center Training
Systems Division
Senior Research Social Scientist
Center for Education Research & Innovation
SRI Education
Panel ModeratorRamachandran Point PaperSteinhauser Point PaperYarnall Point Paper
Domeshek PresentationRamachandran PresentationSteinhauser PresentationYarnall Presentation

Learning Engineering: A New Academic Discipline and Engineering Profession

This event provides an intersection of a large professional society (IEEE) and activities related to I/ITSEC professional disciplines. The goal of this panel is to develop recommendations regarding learning engineering as an academic and career field. Schools, colleges, and training departments are deploying more and more new technologies with the goal of improving learning and training effectiveness. The quantity and diversity of these technologies, and the increasingly ambitious pedagogical innovations being explored, has created a demand for engineers with special training in how people learn and how technology is used. These are called learning engineers. The panelists will share their ideas about why learning engineers are needed, what a learning engineer must know, the problems learning engineers solve, and how this will impact the Government training, education, and simulation community. This will provide insight to the I/ITSEC audience regarding:

  • Learning sciences, simulation, training, education, human factors
  • Learning engineering as an academic and career field
  • Learning-technology, international development efforts
  • Learning-technology, international standards
Avron Barr
Shelly Blake-PlockDylan Schmorrow, Ph.D.Michelle Barrett, Ph.D.
Jim Goodell
Adjunct Staff
Institute for Defense Analyses

Chair
Learning Technology Standards Committee
President and Chief Executive Officer
Yet Analytics, Inc.

IEEE Project 2247.3 Evaluation Subgroup Chair
Chief Scientist and Executive Vice President
Soar Technology, Inc.
Vice President
Research Technology, Data Science, and
Analytics
ACT Inc.
Senior Analyst
Quality Information Partners, Inc.
Panel Moderator

Barr Point Paper
Blake-Plock Point PaperSchmorrow Point PaperBarrett Point Paper

 

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