2019 I/ITSEC

COI 1: Conceptual Modeling of Adaptive Instructional Systems (IEEE Project 2247.1) (Room 329)

03 Dec 19
2:00 PM - 3:30 PM

Tracks: Full Schedule, Tuesday Schedule

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.  Panelist point papers are available at:     https://www.dropbox.com/home/IITSEC%202019%20Learning%20Technologies%20Special%20Events/AIS%20Conceptual%20Modeling